Abstract
Biplanar magnets offer extended flexibility in MRI, particularly appealing due to unmatched accessibility to the patient. At low field strength (<0.2 T), such geometries could be particularly suitable for interventional settings or purpose-built applications such as musculoskeletal imaging. In the proposed work, we present a dual-channel, biplanar coil array for low-field MRI featuring almost fully open access when sited in a biplanar magnet. The proposed detector relies on the assembly of two orthogonal biplanar coils (single transmit channel, two receive channels in quadrature) respectively interfaced with custom inductive couplers. Simulations of the B1 field in each element were performed before the quadrature coil was built and used at 0.1 T (4.33 MHz). Once assembled, the best performance in our setup was achieved in undermatched conditions in place of conventional 50- matching. Phantom images display the extended coverage of the quadrature coil, with similar SNR from each individual biplanar coil. The combined images show an expected SNR gain of that confirms good decoupling between the two channels (−36 dB). To the best of our knowledge, the proposed coil represents the first implementation of a biplanar geometry at low field and the first quadrature detection for a biplanar design. The open design and overall good sensitivity of our biplanar design enabled fast and quasi-isotropic 3D imaging with (1.6 × 1.6 × 2.2) mm3 resolution in vivo in human extremities.
1 Introduction
In complement to conventional MRI scanners available in the clinics, open magnet geometries have been proposed that offer better access to the patient [1], improved patient experience, and better claustrophobia tolerance [2]. The sole benefit of improved physical access to the subjects further allowed to diversify the use of MRI in a wide range of applications, including image-guided (IG) proton therapy [3], thermal therapy [4], laser ablation [5], brain surgery [6–8], upright MRI [9, 10], musculoskeletal (MSK) biopsy [11, 12] and other MSK interventions [13] (more examples reviewed in [14, 15]). For most of the applications cited above, the referenced scanners operated at mid-field (i.e., not exceeding 0.5 T) with C-shaped or Helmholtz geometries, as opposed to tunnel-shaped conventional high field systems. In recent years, there has been a renewed interest for low and very-low field MRI systems (<0.2 T) [16] which designs can be adapted to point-of-care imaging. Leveraging smaller and lighter technologies well suited for dedicated, mobile (and eventually portable) MRI [15, 17–28], these initiatives usually also target lower purchase, siting, and maintenance costs [29] that will increase their overall value [16]. Benefitting from reduced main and fringe fields, low-field scanners can further be sited in non-shielded rooms (neither magnetically nor radio frequency) [2] and ferromagnetic tools can be used safely inside the scanner while producing less or no artifacts [8, 14, 30]. Naturally, low-field systems can also feature open biplanar magnets with open, planar gradient coils, hence combining enhanced access to the patient with the above mentioned advantages of lower magnetic fields [8, 12, 14, 23, 31–34]. Yet, the full potential of an open access scanner can only be unleashed if the entire system is open, including radiofrequency coils mandatory for signal detection. Eventually, the latter can be true bottlenecks to an open design as most NMR/MRI coils feature limited access to the imaged sample of interest.
A common option for MR-guided interventional applications that typically require good access to the patient consists of surface transmit/receive coils with a suitable access aperture [1, 5, 12, 35–38]. Among these, flexible surface coils have been used to better match the anatomy, but they require further tuning/matching adjustments once positioned [35, 37]. Phased-array radiofrequency (RF) coils with open access have also been used to improve coverage and signal-to-noise ratio (SNR) for intra-/inter-operative brain MRI [35, 39]. While one would expect higher performance (i.e., coverage, homogeneity) from volume coils, their use is however less common due to the inherent difficulty to maintain an open access. Previously, a four-bar birdcage design with open sides was reported that is compatible with “double-doughnut” magnets [37]. Another interesting alternative was proposed by Roberts et al. [40] who used biplanar coil geometries combining the benefits of a volume coil while providing fully open access. In their work, this design was built and tested at 1.5 and 1.8 T, and to our knowledge has not been further explored neither at high nor low magnetic field. Their B1 magnetic field orientation, although also compatible with tunnel-shaped magnets, is particularly suitable for biplanar magnets. In such case, the coil planes are parallel to those of the magnet and leave the access completely open for three out of four sides, as opposed to most volume coil geometries [41]. Such an open coil could bring new perspectives for extremity imaging, in particular weight-bearing applications or kinematic studies of joints [42, 43], and be particularly appealing for MR-guided interventions in general [5, 12, 44]. The coil proposed in the presented work is inspired from the latter biplanar design by Roberts et al. [40]. To further increase SNR, a quadrature configuration can be beneficial at low field [45–51], leading to a maximum theoretical SNR improvement factor of [47, 49, 50], corresponding to an acceleration factor of 2 in terms of acquisition time. However, quadrature operation also brings additional challenges, and is only possible if the separate coil channels are well decoupled between each other and with respect to the main, static magnetic field B0.
In this work, we demonstrate the design of an optimized, open-geometry coil array with high potential for future use in image-guided surgery, biomechanics studies, or weight-bearing applications. The coil array is composed of two orthogonal, biplanar coils operating as a single-channel transmit and two-channel receive in quadrature mode at 4.33 MHz (0.1 T). We show that such an optimized coil provides good SNR and filling factor, while maintaining an open access, a rather homogeneous B1, and a good coverage over a large volume of interest in a compact biplanar magnet.
2 Materials and methods
2.1 Biplanar coils
2.1.1 Simulations
Simulations of the B1 field of the separate coils and coupler described below were performed using the AC/DC module of COMSOL Multiphysics 5.4 (COMSOL AB, Sweden) on a workstation with Windows 10, 96 GB RAM, 14 CPU cores, and 2 Nvidia GTX 1080 Ti graphics cards (no GPU calculation supported by the software). A “Magnetic Fields” physics definition was used with a lumped port source at the location of the capacitors and coaxial feeding points. The input current amplitude was 1 A and the frequency 4.33 MHz. The results were displayed as magnetic field vector plots and orthogonal sections of the magnetic field magnitude normalized to the value at the center of the coils.
2.1.2 Coil description
The design of the biplanar coil was conditioned by two main constraints. The first was the magnet geometry which restricted space between the two magnet planes defined the maximum coil size that can be inserted in the magnet bore (see MR system description in Section 2.2.1). The second was the desired, expanded field-of-view compatible with body parts that do not fit in conventional, solenoid-like RF detectors like the elbow and ankle.
The proposed coil array is composed of two biplanar coils indicated as A and B (Figure 1). Coil A was operated in transceiver mode, while coil B was used as receive only. The design of the coil planes consisted in five parallel copper (Cu) strips (150 mm × 13 mm) equally spaced by 8.75 mm connected in parallel for coil B, and four parallel Cu strips of identical spacing for coil A. The coil planes were cut from a 350-μm thick copper (Cu) sheet, sufficient for the RF penetration depth at both surfaces at our frequency, estimated as 5 × δ, where δ is the skin depth of about 31 μm given by:with the angular frequency, the permeability and the conductivity of the conductor [52]. The two planes were connected in series using a 13-mm wide liaison Cu strip on one side, and a 1.8-mm diameter Cu wire on the opposite side, with an interplane distance of respectively 105 and 115 mm for coil A and B. For coil A, the liaison connections were soldered to the bottom corners of the planes, thereby maintaining the access to the inside completely open (Figure 1A). As opposed to coil B featuring planes with five Cu strips, only four were used on coil A to compensate for the strong B1 contribution of the interplane connections. This modification ensures that the coil current is not concentrated at the bottom of the coil, and thus better B1 homogeneity is achieved within the coil volume. For coil B, the interplane connections were placed between the middle strip of each plane (Figure 1B) to allow good decoupling between coils when assembled for quadrature detection.
FIGURE 1
Coils A and B were tuned at 4.33 MHz using a modified variable capacitor (GME11501, Sprague-Goodman, United States) in parallel with a fixed one, with a total capacitance of 4.83 nF for coil A and 3.86 nF for coil B, for an inductance of 280 nH for coil A and 350 nH for coil B. Both coils were interfaced via inductive coupling, which has two main advantages: first, the coils are intrinsically electrically balanced [53–57], and second, there is no need for large variable matching capacitors for capacitive matching, known to have lower quality factors and to require complex adjustments [56].
2.1.3 Inductive coupling and quadrature decoupling
Two rectangular mirrored-M shape couplers were designed and built from the same 350-μm thick Cu sheet (Figure 1C). Their unique shape was chosen such that they could be both positioned underneath the coil assembly (coil A + B) and maintain open access (Figure 1D). In this coupler design, three strips (two lateral and a middle one, where the feed gap is located) are connected in parallel. The goal of such design is to achieve a preferential directionality of the coupler’s magnetic field perpendicular to the strips and to concentrate the current prevalently near the middle strip. This way, two couplers can be positioned next to each other on the same plane (here, at the bottom of the coil assembly) and only interact with the intended coil A or B, via the local coupling with one of their respective interplane connectors (i.e., connecting Cu wire for coil A, and Cu strip for coil B).
After assembly (with coil B orthogonal to coil A), the coil array was positioned inside the scanner. Tuning, matching and decoupling were adjusted using a Vector Network Analyzer (VNA E5061B-3L4, Keysight Technologies, United States). We intentionally diverged from traditional 50-Ω matching that systematically resulted in higher noise and impeded SNR (cf. Section 2.3.1), and opted for a less conventional configuration as non-50-Ω impedance consistently provided higher SNR in both FID and imaging acquisitions.
After tuning the coils at the same frequency with variable capacitors, decoupling was achieved by adjusting the position of coil A with respect to coil B, shifting the former in the horizontal direction. The resonant peaks and the amount of decoupling were monitored simultaneously via the S-parameters S11, S22 and S21 (both coils connected to the two VNA ports). Additionally, noise acquisitions were performed on each separate channel with the RF transmit off to compute a noise covariance matrix. Quality factors of resonators interfaced using any amount of impedance matching can be measured using the Smith Chart technique described in [58]. In practice, it provides the resonator’s quality factor by measuring Q as with the resonant frequency, the bandwidth at −3 dB and the coupling factor estimated from the diameter of the complex impedance circle on the Smith Chart as . For a 50-Ω matched coil, = 1, which leads to the measurement [59].
2.2 MR experiments
2.2.1 MR system
MRI was performed on a resistive biplanar 0.1-T system (EAR54L, Drusch & Cie, France) designed for extremity imaging [32]. This system has a horizontal B0 and three out of four sides presenting an open access. The magnet features ∼60-cm diameter planar coils, and an 18-cm interplane gap. Thanks to its resistive technology, B0 can easily be varied by adjusting the current fed to the magnet coils. The system includes separate shim coils to further improve the static magnetic field homogeneity. The system usually operates without shielding, neither magnetic nor RF (no Faraday cage). For all measurements and experiments reported here though, a 60 × 40 cm2 food-grade aluminum sheet (about 0.02 mm thick) was positioned on top of the magnet, that significantly protected from parasitic RF sources in the laboratory environment (the observed decrease in noise magnitude level was typically between a factor of 2 and 3). In general, it is worth mentioning that noise did not exhibit significant variations when the coil was loaded with human body parts to be imaged.
The TX/RX-coil (coil A) was interfaced using a passive transcoupler (NMR Service, Germany), a pulsed RF power amplifier (500-W BT00500-AlphaS, Tomco Technologies, Australia) and a custom low-noise preamplifier built in house [60]. The RX-only coil (coil B) was connected directly to another of our custom, low-noise preamplifiers. The output signals from the preamplifiers were collected by two separate RX channels.
All sequences were implemented on a Cameleon 3 spectrometer (RS2D, France). Flip-angle calibration was performed by acquiring bulk free-induction-decay (FID) signals while varying the duration of the transmit pulse with a rectangular envelope and maintaining its amplitude constant. The calibrated 90° and 180° flip angles were identified from the first maximum and minimum of recorded FID time-integrals, collected with coil B.
2.2.2 Phantom
A custom, homogeneous, high-filling-factor phantom was built to assess the coil sensitivity and SNR. It consisted in a parallelepipedoid shape (10.5 cm × 15 cm × 15 cm, total volume 2362.5 cm3), fabricated from bi-component silicone rubber (Eurosil4 A+B, Schouten SynTec, Netherlands) [61].
2.2.3 MR sequences
Sensitivity, SNR and performance comparison of each channel for the quadrature coil were assessed using the phantom with a spoiled gradient-echo sequence (parameters listed in Table 1). The sequence parameters were only optimized for the field-of-view (FOV) and scan time, not for contrast. The TX pulse parameters used 21 dB attenuation for the biplanar coil A in the quadrature coil, with a hard pulse duration of 120 μs corresponding to a 90° flip-angle.
TABLE 1
| Datasets | Sequence | TR (ms) | TE (ms) | SW (kHz) | FA (°) | FOV (mm3) | Acquired matrix | Acq. Voxel size (mm3) | Reconstruct. matrix | Rec. Voxel size (mm3) | NA | Tacq (min:sec) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Phantoms | GRE 3D | 30.00 | 7.69 | 10 | 70 | 200 × 200 × 154 | 100 × 100 × 35 | 2.0 × 2.0 × 4.4 | 100 × 100 × 35 | 2.0 × 2.0 × 4.4 | 8 | 7:00 |
| Ankle | bSSFP 3D | 8.75 | 4.46 | 20 | 70 | 160 × 160 × 68 | 100 × 100 × 31 | 1.6 × 1.6 × 2.2 | 200 × 200 × 63 | 0.8 × 0.8 × 1.1 | 35 | 7:54 |
| Elbow | DESS 3D | 30.00 | 5.16/16.3 | 20 | 70 | 160 × 160 × 68 | 100 × 100 × 31 | 1.6 × 1.6 × 2.2 | 200 × 200 × 63 | 0.8 × 0.8 × 1.1 | 12 | 9:18 |
Details of the MR sequences used in phantoms and in vivo. GRE: spoiled gradient-echo, bSSFP: balanced steady-state free precession, DESS: dual-echo steady state, TR: repetition time, TE: echo time, SW: spectral width of the readout points, FA: flip angle, FOV: field-of-view, NA: number of signal averages, Tacq: acquisition time.
The protocol for in vivo acquisitions was approved by the local ethic committee (EKNZ/2022-00348) and imaging was performed after informed consent was obtained. A balanced steady-state free precession (bSSFP) sequence and a double-echo steady-state gradient echo sequence (DESS) were used to acquire in vivo images of the ankle and elbow of healthy volunteers. These sequences where chosen depending on the respective contrast desired in the two body regions. The imaging parameters are summarized in Table 1. All presented 3D acquisitions used the same gaussian undersampling scheme for the two phase-encoding directions to reduce the acquisition time by 50% [62].
2.3 Data processing and analyses
2.3.1 Undermatched vs. matched coil conditions
FID signals were acquired in the phantom using coil A and B separately (before assembling them into the quadrature configuration), both in 50-Ω matched condition and in their respective, preferred undermatched configurations. Matching was varied by adjusting the relative position of a loop coupler with respect to the coil. For each configuration, the coil’s TX flip angle was recalibrated. Four FID signals were then acquired with a flip angle of 90° and a spectral width of 3 kHz for 1,024 acquisition points, with the readout sampling starting 500 µs after the TX pulse. The SNR was estimated from the magnitude of the FID in the time domain, as the ratio between its maximum and the standard deviation of the noise in a selected region. Mean and standard deviation of the four SNR values were calculated for each case.
2.3.2 Multichannel noise equalization
At low frequency, noise in the reception chain is expected to predominantly come from the coil [63] and is assumed uncorrelated. In our case, quadrature reception can thus be achieved by summing up the separate magnitude images of coil A and B [50]. Yet, when our coil assembly was positioned in the magnet, the noise floor of coil B was observed to be slightly higher than coil A, both considering its mean and standard deviation. For this reason, the second channel dataset was scaled down by a constant factor prior to the combination of the two channels to equalize their noise contributions. The scaling factor was estimated from the ratio of noise standard deviations ση,1 and ση,2 calculated within a rectangular region of interest (ROI) on the magnitude image for each channel (size in voxels: 10 × 10 × number of slices). This scaling was applied before summing up the magnitude images from coil A and B.
2.3.3 Image analysis and processing
For phantom images, a noise standard deviation ση was calculated within a rectangular ROI (size in voxels: 10 × 10 × number of slices) on the magnitude images obtained after Fourier transformation of raw data and without any prior filtering or interpolation, for each coil and channel. An SNR map of the whole object was computed by dividing the 3D magnitude images by ση and multiplying them by 0.655 to account for Rayleigh noise distribution [64, 65]. Finally, the SNR mean and standard deviation were calculated in a 3D ROI in the center of the object (30 × 30 × 12 voxels, corresponding to 60 × 60 × 52.8 mm3).
For in vivo imaging, the data from each channel was pre-processed separately; first by filtering k-space via custom MATLAB scripts (Mathworks, United States) using a 3D Tukey window (cosine fraction 0.2), then by zerofilling the filtered k-space to double the size of each dataset (hence dividing by two the reconstructed voxel size) in all three directions [66]. Finally, 3D Fourier transform and noise-equalization (as described above) were applied before the resulting magnitude images of the two channels were summed. Since the acquired voxel size was almost isotropic, different orthogonal views could then be extracted from the obtained 3D image dataset.
3 Results
3.1 Simulations: coils and coupler
Simulations of coils A and B are presented in Figure 2. The dominant B1 component is oriented orthogonally to the YZ plane for coil A, and orthogonally to the XY plane for coil B, as intended. Once assembled in quadrature configuration (Figure 1D), the two coils’ B1 fields are naturally oriented orthogonally to each other and to B0. While B1 appears homogeneous over most of the coil inner volumes, it is strongest at the vicinity of the wiring connecting the coil planes, respectively at the bottom of coil A, and transverse, center section of coil B.
FIGURE 2
The simulated magnetic field of the inductive couplers is represented in Figure 3. By design, due to the feeding point of the coupler located at the center gap of the middle strip, the latter carries twice as much current as the lateral ones and the magnetic field B is strongest near the center of the coupler. Furthermore, as depicted by the B orientation, such geometry provides a localized and conveniently oriented magnetic field suitable for coupling with the biplanar coil’s interconnections.
FIGURE 3
3.2 Coil realization
Figure 4 presents the assembled coil array, with the achieved electrical conditions summarized in Figure 5. Noise covariance matrix values were N11: 10.5, N22: 41.5, N12 = N21: 6.4. At our frequency of interest, no interaction between matching and tuning was observed, even while using an untuned coupler. Therefore, only coil tuning capacitors were used, which makes the interfacing simple and easily adjustable. No coil loading effect was observed (no frequency shift, no S11 variation, no impedance change) in any of the coils.
FIGURE 4
FIGURE 5
3.3 Comparison of undermatched conditions vs. 50-Ω matching
Figure 6 illustrates the coils’ SNR normalized to the 50-Ω case in the 50-Ω matching conditions (S11 coil A: −36.7 dB, coil B: −34.7 dB) and in the undermatched conditions of the quadrature coil operation (S11 coil A: −5.4 dB, coil B: −4.8 dB). With T2* 4 ms in the acquired phantom, the selected noise region to compute the SNR was consistently picked between tacq = 100 ms and the end of the acquisition window. An SNR advantage of 40%–45% in the undermatched case is observed for both coils.
FIGURE 6
3.4 Phantom results
The fabricated, custom silicone phantom is presented in Figure 4B. Phantom images obtained with the proposed biplanar coil are shown in Figure 7. From the resulting extended field-of-view, we observe distortions at the phantom edges and extremities (axial and coronal views, Figure 7*-ii and 7*-iii) while the sagittal view shows a rounding effect on the top edges (Figure 7C-i). Coil A exhibits higher sensitivity near the coil planes, and along the wiring connecting the coil planes (Figure 7A-i). A ringing effect arises from clipped, high-intensity signal in k-space, corresponding to the location of the liaison wire on the image (Figure 7A-i, bottom right corner of the phantom). Similarly to coil A, coil B exhibits higher sensitivity in the proximity of its liaison Cu conductors at the phantom’s top and bottom, particularly emphasized in the center of the axial slice (Figure 7B-ii).
FIGURE 7
The combined two-channel images (Figure 7C) expectedly merge the sensitivity profiles of coil A and B in a complementary fashion, resulting in an overall more homogeneous coverage of the imaged phantom. SNR in the central ROI of the combined image is 11.7 ± 1.4; its mean is 1.35 and 1.37 times greater than that of the separate channels, with a lower standard deviation (SNR A: 8.8 ± 1.5, SNR B: 8.5 ± 1.5). A noise equalizing factor between 1.5 and 2.4 was typically obtained for the coil with the higher noise level (coil B) depending on the employed sequence parameters.
3.5 In vivo images
Figure 8 shows selected in vivo images from the 3D datasets obtained with the proposed biplanar quadrature coil that display different contrasts depending on the sequence used. Images of a female ankle were acquired in a dorsiflexed foot position, with the hindfoot resting on the coil’s bottom and forefoot facing upwards. The employed bSSFP sequence exhibits good contrast between the bones and the skin (hypersignal), the muscles (lower signal) and the ligaments (hyposignal). With the foot and ankle in this position (Figure 8A), the coil sensitivity covers well the area of the ankle joints, the tarsal bones and the distal tibia, as well as the proximal metatarsals. Typical bSSFP banding artifacts are visible at the edges of the FOV (cf. tibia, heel and distal metatarsals in Figures 8C, G).
FIGURE 8
The elbow images were obtained by resting the elbow on the coil’s bottom and flexing the joint (Figures 8H–M). Contrast similar to the bSSFP ankle images is obtained from the first echo of the DESS sequence, with hypersignal from the skin and bones, and overall lower signal in the muscle. In spite of the fewer bones and low muscle signal, main anatomical features of the joint are nevertheless visible. Bright, localized areas at the bottom of the sagittal views (Figures 8H, I) correspond to the location of coil B’s interconnecting copper strip. The signal vanishes around the distal forearm due to B0 inhomogeneity.
4 Discussion
In this work, we describe a biplanar coil array optimized for a low-field biplanar MRI system operating at 0.1 T. The proposed coil shows good homogeneity over large volumes with an almost completely open design (top connecting wire from coil B remains), and good performance for in vivo imaging. We demonstrated that both a flexed foot and elbow can be easily positioned inside such a coil for imaging (Figure 7).
As confirmed by the simulations and further with imaging, coil A and B achieve a rather homogeneous B1, which clear directionality facilitates quadrature-mode operations. Phantom images showcase the sensitivity distribution of the two channels of the quadrature coil on a large volume. While the areas with higher B1 expectedly occur near the main copper conductors, they are sufficiently localized and confined to the edges of the quadrature coil. In the phantom images (Figures 7C-i, C-ii), this effect translates into dark regions with both channels because the excitation flip angle is locally much greater than the nominal one. While the simulations predict a higher sensitivity at the bottom edges of coil A (Figure 2, sagittal/axial views), it is not the case in practice (Figure 7Aiii). This behavior could be ascribed to the B0 inhomogeneities and gradients nonlinearity. Similar observations for coil B show higher B1 near the liaison wires (Figure 2, top and bottom of sagittal and axial views). In the simulations, the represented normalized B magnitude values may include the contribution of the component parallel to B0 that does not participate to the MR detection (y-direction in Figure 2). However, the represented B arrow orientation shows that this component is negligible over most of the inner coil volume except for very localized areas near the conductors.
Particular care was required when designing the connections (copper wire, strips) between the coil planes, for two main reasons. First, these structures represent an important contribution to the B1 field since they convey the entire current of each plane, and thus disturb the homogeneous magnetic field distribution produced by the planes alone. Second, these connecting structures must not impede physical access, and yet keeping them far from the volume of interest is detrimental when a high filling factor is sought. In addition, and because of the low coil inductance, any slight modification of the wires position will impact the resonance frequency. We chose to compromise by siting them rather close to the coil planes, yet further investigation will be led to improve physical access in future versions.
Severe image distortions arise in phantoms and typical bSSFP bands can be seen in vivo that reflect the magnet inhomogeneity and gradients non-linearity, that now become the overall imaging limiting factor. The proposed coil provides good sensitivity and coverage over large FOVs. SNR of the two-channel coil is greater than the single channels by (Figure 7). This result stems from the intrinsic high geometric decoupling obtained with the proposed couplers and coil configuration. Although our S21 measurement is most certainly affected by the low matching of the coils, the value of −36 dB measured seems consistently representative of good decoupling performance, where the SNR improvement is achieved. Fine-tuning of the decoupling between coils is done rather simply, by adjusting the coils relative position. In addition, the proposed mirrored-M couplers have two main advantages: 1) their extremely compact arrangement that can be placed underneath the coil; and 2) their rather localized magnetic field, which serves decoupling performance. The choice of inductive coupling made our biplanar coils rather simple to tune and decouple, involving only two variable capacitors. We assume that capacitive matching networks with these coils is possible, however it may entail more complex adjustments and interactions between tuning, matching and decoupling capacitors.
The proposed noise equalization proves to be a simple and reliable method to combine magnitude images from separate channels while avoiding SNR deterioration. In our low-field system, the specific RF noise regime is expected to be coil-dominated (as suggested by the absence of loading effect [67]), which means that the noise levels can be different in decoupled coils. In case of much larger equalizing factors though, the contribution of the second coil might become too small to improve the performance of the two-channel coil. Overall, similar SNR values were observed on the two separate channels (cf. SNRROI in Figures 7A, B), indicating that both the noise and signal levels are higher with coil B than coil A. After verifying that our preamplifiers perform identically, we hypothesize this difference may originate from differences in coil geometries and electrical properties, from the presence of our transcoupler, or simply from inter-channel processing differences in our spectrometer (analog/digital conversion, separate gain stages, etc.). The described noise normalization method could be further extended to combine complex images as well, for example, by weighting the phase information by the corresponding magnitude of the channel or using other methods for coil-array phase retrieval developed at higher fields [68] and recently proof-tested at low field [69].
In terms of electrical properties and depending on the biplanar coil volume envisioned, inductance and B1 can be quite low compared to a solenoid, which may translate in lower sensitivity and the need for higher RF power. On the other hand, a lower inductance can help reducing dielectric losses [70]. The longest current path in a biplanar design can be much shorter compared to the conductor length required for an equivalent-size solenoid coil, with less need for voltage splitting capacitors. In relation to this, the coil resistance is possibly lower, although a theoretical analysis taking into account all resistance contributions, such as the proximity effect between the plane strips, would be required. Overall, optimizing the coil noise along with possible noise cancelling strategies [71, 72] and not only increasing B1 can yield a great SNR improvement, especially at RF noise regimes of coil-dominance. The relatively shallow S11 and S22 of the two channels should not be considered as a limitation, although they may appear unusual: for our coil and RX chain, the presented electrical conditions perform better than 50-Ω matching conditions due to better noise matching. In fact, as noted elsewhere, one does not need to seek a 50-Ω matching as it is a condition for maximizing power transfer and not necessarily SNR (more important from an RX point-of-view) [59, 73].
In our configuration, only one coil was used as TX and coil A was preferred as its B1 distribution is more homogeneous than that of coil B. The transceiver role could however be swapped between coils according to the desired application and imaging area. We also foresee that the coil assembly could be successfully tested in full quadrature-TX operation, using a double-transceiver configuration to decrease the transmitted power by a factor close to and to improve the excitation homogeneity. The low matching of the biplanar coils does not necessarily lead to lower power efficiency and higher losses in the TX chain (due to the long electrical wavelength) and can even be advantageous at low fields, as described in [74]. However, in the present work, we did not focus on TX aspects, as our goal was to optimize RX performance.
In general, a biplanar geometry is easy to build and potentially allows a wide range of design that can suit different sizes of biplanar magnets even in the quadrature configuration. With a horizontal-B0 magnet, open access is available from three sides, with the fourth side (bottom) acting as a support plane for the extremities. In narrow magnets, the coil planes can potentially be integrated with those of the magnet. In such case, virtually all the inner magnet volume would become exploitable for MR detection. The quadrature coil could also be used in biplanar magnets with a vertical B0. In this case though, a different design shall be envisioned to maintain all four sides of the coil open. Cylindrical-shaped magnets with non-axial or axial B0, such as Halbach or conventional tunnel-bore magnets, could be compatible with the quadrature design or a biplanar single-channel coil, respectively, albeit with potentially worse spatial exploitation of the inner bore and reduced access to the patient.
5 Conclusion
Our biplanar coil array combines the advantage of a volume coil homogeneity with open access and high performance at 0.1 T. Our initial results set the ground for future work including biomechanics studies, image-guided interventions, or weight-bearing applications. While careful optimization of the current path is necessary to maintain the homogeneity in such a coil, this is an interesting geometry where one can even envision more irregular-shaped planes according to the desired application. Although we maintained symmetrical plane shapes for coil A and B to simplify decoupling, asymmetrical designs should be possible if mutual coupling is kept low. Besides, the described original inductive couplers and coil configuration provide high geometrical decoupling between the two channels. Together with our noise equalization method, the proposed coil leads to a high SNR, allowing fast fine-resolution in vivo MR imaging at low magnetic field as well as a broad range of possible applications where open access is needed [69]. To the best of our knowledge, this is the first time that a biplanar coil is designed for operating in a low-field scanner and in quadrature mode.
Statements
Data availability statement
The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving human participants were reviewed and approved by EKNZ/2022-00348. The patients/participants provided their written informed consent to participate in this study.
Author contributions
MY, NS, and MS: study design, experimental optimization and data analysis. MY: coil simulations, design and construction, phantom fabrication. MY, PC, NS, and MS: writing and proofreading the manuscript. All authors contributed to the article and approved the submitted version.
Funding
This work is supported by the Swiss National Science Foundation (Grant Numbers 170575, 186861, and 198905).
Acknowledgments
The authors warmly thank Prof. Dr. André Constantinesco for sharing his expertise in low-field technologies, as well as for his generosity and strong support especially during the early days of the AMT Center, when the platform was still in the making.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphy.2023.987197/full#supplementary-material
References
1.
SchenckJFJoleszFARoemerPBClineHELorensenWEKikinisRet alSuperconducting open-configuration MR imaging system for image-guided therapy. Radiology (1995) 195:805–14. 10.1148/radiology.195.3.7754014
2.
ShellockFGHollisterMC. In-office MR imaging. Clin Sports Med (2002) 21:261–87. 10.1016/S0278-5919(02)00003-0
3.
SchellhammerSMHoffmannALGantzSSmeetsJVan Der KraaijEQuetsSet alIntegrating a low-field open MR scanner with a static proton research beam line: proof of concept. Phys Med Biol (2018) 63:23LT01. 10.1088/1361-6560/aaece8
4.
AbeHKurumiYNakaSShiomiHUmedaTNaitohHet alOpen-configuration MR-guided microwave thermocoagulation therapy for metastatic liver tumors from breast cancer. Breast Cancer (2005) 12:26–31. 10.2325/jbcs.12.26
5.
SequeirosRBHyvönenPSequeirosABJyrkinenLOjalaRKlemolaRet alMR imaging-guided laser ablation of osteoid osteomas with use of optical instrument guidance at 0.23 T. Eur Radiol (2003) 13:2309–14. 10.1007/s00330-003-1897-5
6.
SenftCFranzKUlrichCTBinkASzelényiAGasserTet alLow field intraoperative MRI-guided surgery of gliomas: a single center experience. Clin Neurol Neurosurg (2010) 112:237–43. 10.1016/j.clineuro.2009.12.003
7.
LevivierMWiklerDDe WitteOVan de SteeneABalériauxDBrotchiJ. PoleStar N-10 low-field compact intraoperative magnetic resonance imaging system with mobile radiofrequency shielding. Neurosurgery (2003) 53:1001–7. 10.1227/01.NEU.0000084167.18475.BA
8.
HadaniMSpiegelmanRFeldmanZBerkenstadtHRamZ. Novel, compact, intraoperative magnetic resonance imaging-guided system for conventional neurosurgical operating rooms. Neurosurgery (2001) 48:799–809. 10.1227/00006123-200104000-00021
9.
Charest-MorinRZhangHShewchukJRWilsonDRPhillipsAEBondMet alDynamic morphometric changes in degenerative lumbar spondylolisthesis: a pilot study of upright magnetic resonance imaging. J Clin Neurosci (2021) 91:152–8. 10.1016/j.jocn.2021.06.027
10.
PaiSAZhangHStreetJWilsonDRBrownSHMOxlandTR. Outgoing editor's thoughts - on Sisyphean tasks and the last refuge of scoundrels. JOR Spine (2021) 4:1–2. 10.4103/ijc.IJC_56_21
11.
LiCLüYLiuMFritzJ. Magnetic resonance imaging-guided biopsy of musculoskeletal lesions using open low-field systems. Top Magn Reson Imaging (2011) 22:135–41. 10.1097/RMR.0b013e3182805f7b
12.
KönigCWTrübenbachJBöhmPFritzJDudaSHPereiraPL. Magnetic resonance-guided transcortical biopsy of bone marrow lesions using a magnetic resonance imaging-compatible piezoelectric power drill: preliminary experience. Invest Radiol (2003) 38:159–63. 10.1097/01.RLI.0000053670.71386.B9
13.
GenantJWVandevenneJEBergmanAGBeaulieuCFKeeSTNorbashAMet alInterventional musculoskeletal procedures performed by using MR imaging guidance with a vertically open MR unit: assessment of techniques and applicability. Radiology (2002) 223:127–36. 10.1148/radiol.2231010900
14.
BlancoRTOjalaRKariniemiJPeräläJNiinimäkiJTervonenO. Interventional and intraoperative MRI at low field scanner - a review. Eur J Radiol (2005) 56:130–42. 10.1016/j.ejrad.2005.03.033
15.
MasciocchiCBarileASatragnoL. Musculoskeletal MRI: dedicated systems. Eur Radiol (2000) 10:250–5. 10.1007/s003300050041
16.
SarracanieMSalamehN. Low-field MRI: how low can we go? A fresh view on an old debate. Front Phys (2020) 8:1–14. 10.3389/fphy.2020.00172
17.
GriesPConstantinescoABrunotBFacelloA. MR imaging of hand and wrist with a dedicated 0.1-T low-field imaging system. Magn Reson Imaging (1991) 9:949–53. 10.1016/0730-725X(91)90541-S
18.
Arbogast-RavierSXuFChoquetPBrunotBConstantinescoA. Dedicated low-field MRI: a promising low cost-technique. Med Biol Eng Comput (1995) 33:735–9. 10.1007/BF02510797
19.
GhazinoorSCruesJVCrowleyC. Low-field musculoskeletal MRI. J Magn Reson Imaging (2007) 25:234–44. 10.1002/jmri.20854
20.
CooleyCZStockmannJPArmstrongBDSarracanieMLevMHRosenMSet alTwo-dimensional imaging in a lightweight portable MRI scanner without gradient coils. Magn Reson Med (2015) 73:872–83. 10.1002/mrm.25147
21.
LotherSSchiffSJNeubergerTJakobPMFidlerF. Design of a mobile, homogeneous, and efficient electromagnet with a large field of view for neonatal low-field MRI. Magn Reson Mater Physics, Biol Med (2016) 29:691–8. 10.1007/s10334-016-0525-8
22.
ObungolochJHarperJRConsevageSSavukovIMNeubergerTTadigadapaSet alDesign of a sustainable prepolarizing magnetic resonance imaging system for infant hydrocephalus. Magn Reson Mater Physics, Biol Med (2018) 31:665–76. 10.1007/s10334-018-0683-y
23.
HeYHeWTanLChenFMengFFengHet alUse of 2.1 MHz MRI scanner for brain imaging and its preliminary results in stroke. J Magn Reson (2020) 319:106829. 10.1016/j.jmr.2020.106829
24.
O’ReillyTTeeuwisseWMGansDKoolstraKWebbAG. In vivo 3D brain and extremity MRI at 50 mT using a permanent magnet Halbach array. Magn Reson Med (2021) 85:495–505. 10.1002/mrm.28396
25.
MazurekMHCahnBAYuenMMPrabhatAMChavvaIRShahJTet alPortable, bedside, low-field magnetic resonance imaging for evaluation of intracerebral hemorrhage. Nat Commun (2021) 12:5119–1. 10.1038/s41467-021-25441-6
26.
CooleyCZMcDanielPCStockmannJPSrinivasSACauleySFŚliwiakMet alA portable scanner for magnetic resonance imaging of the brain. Nat Biomed Eng (2021) 5:229–39. 10.1038/s41551-020-00641-5
27.
de VosBParsaJAbdulrazaqZTeeuwisseWMVan SpeybroeckCDEde GansDHet alDesign, characterisation and performance of an improved portable and sustainable low-field MRI system. Front Phys (2021) 9:1–16. 10.3389/fphy.2021.701157
28.
NavalTGAlgarínJMGuridiRPGalveFGilabertYVBoschRet alPortable magnetic resonance imaging of patients indoors, outdoors and at home. Sci Rep (2022) 2022:1. 10.1038/s41598-022-17472-w
29.
WaldLLMcDanielPCWitzelTStockmannJPCooleyCZ. Low-cost and portable MRI. J Magn Reson Imaging (2020) 52:686–96. 10.1002/jmri.26942
30.
Iturri-ClaveroFGalbarriatu-GutierrezLGonzalez-UriarteATamayo-MedelGde OrteKMartinez-RuizAet al“Low-field” intraoperative MRI: a new scenario, a new adaptation. Clin Radiol (2016) 71:1193–8. 10.1016/j.crad.2016.07.003
31.
ShethKNMazurekMHYuenMMCahnBAShahJTWardAet alAssessment of brain injury using portable, low-field magnetic resonance imaging at the bedside of critically ill patients. JAMA Neurol (2020) 78:41. 10.1001/jamaneurol.2020.3263
32.
ConstantinescoAChoquetPCauffetGFournierJMRavierSDrillonJMet alLow-field dedicated and desktop magnetic resonance imaging systems for agricultural and food applications. Magn Reson Chem (1997) 35:69–75. 10.1002/(sici)1097-458x(199712)35:13<s69::aid-omr198>3.0.co;2-5
33.
SepponenRE. Low-field MR imaging — development in Finland. Acta Radiol (1996) 37:446–54. 10.3109/02841859609177679
34.
DaviesF. Resistive and permanent magnets for whole body MRI. In: encyclopedia of magnetic resonance. Chichester, UK: John Wiley & Sons, Ltd (2023). p. 1–7. 10.1002/9780470034590.emrstm0469
35.
HushekSGMartinAJStecknerMBosakEDebbinsJKucharzykW. MR systems for MRI-guided interventions. J Magn Reson Imaging (2008) 27:253–66. 10.1002/jmri.21269
36.
HondaYHataN. Dynamic imaging of swallowing in a seated position using open-configuration MRI. J Magn Reson Imaging (2007) 26:172–6. 10.1002/jmri.20992
37.
SchirmerTGeoffroyYKoranSJUlrichF. Signa SP/2 - a MRI system for image guided surgery. Med Laser Appl (2002) 17:105–16. 10.1078/1615-1615-00053
38.
DoornbosJGrimbergenHAABooijenPEte StrakeLBloemJLVielvoyeGJet alApplication of anatomically shaped surface coils in MRI at 0.5 T. Magn Reson Med (1986) 3:270–81. 10.1002/mrm.1910030210
39.
MerkleEMLewinJSLiebenthalRLorenzCH. The interventional MR imaging suite: magnet designs and equipment requirements. Magn Reson Imaging Clin N Am (2005) 13:401–13. 10.1016/j.mric.2005.04.014
40.
RobertsDAInskoEKBolingerLLeighJS. Biplanar radiofrequency coil design. J Magn Reson Ser A (1993) 102:34–41. 10.1006/jmra.1993.1065
41.
MispelterJLupuM. Homogeneous resonators for magnetic resonance: a review. Comptes Rendus Chim (2008) 11:340–55. 10.1016/j.crci.2007.10.003
42.
ShellockFGStoneKRCruesJV. Development and clinical application of kinematic MRI of the patellofemoral joint using an extremity MR system. Med Sci Sport Exerc (1999) 31:788–91. 10.1097/00005768-199906000-00005
43.
ShellockFGPowersC. In: shellockFGPowersC, editors. Kinematic MRI of the joints. United States: CRC Press (2001). 10.1201/b16364
44.
KoenigCWDudaSHTruebenbachJSchottUGMaurerFClaussenCDet alMR-guided biopsy of musculoskeletal lesions in a low-field system. J Magn Reson Imaging (2001) 13:761–8. 10.1002/jmri.1106
45.
TomanekBVolotovskyyVTysonRYinDSharpJBlasiakB. A quadrature volume RF coil for vertical B0 field open MRI systems. Concepts Magn Reson B Magn Reson Eng (2016) 46B:118–22. 10.1002/cmr.b.21327
46.
BlasiakBVolotovskyyVTysonRSharpJTomanekB. An RF breast coil for 0.2 T MRI. Concepts Magn Reson Part B Magn Reson Eng (2016) 46:3–7. 10.1002/cmr.b.21316
47.
ChenC-NHoultDSankV. Quadrature detection coils—a further √2 improvement in sensitivity. J Magn Reson (1983) 54:324–7. 10.1016/0022-2364(83)90057-4
48.
KoonjooNShengSSappoCRosenMS. Optimized quadrature head coil improves SNR at ultra-low field. Proc Intl Soc Mag Reson Med (2020) 2020.
49.
HoultDIChenCNSankVJ. Quadrature detection in the laboratory frame. Magn Reson Med (1984) 1:339–53. 10.1002/mrm.1910010305
50.
RedpathTW. Quadrature rf coil pairs. Magn Reson Med (1986) 3:118. 10.1002/mrm.1910030115
51.
ShenSKongXWuJHeYGuoPXuZet alAn optimized quadrature RF receive coil for very-low-field (50.4 mT) magnetic resonance brain imaging. J Magn Reson (2022) 342:107269. 10.1016/j.jmr.2022.107269
52.
HoultDILauterburPC. The sensitivity of the zeugmatographic experiment involving human samples. J Magn Reson (1979) 34:425–33. 10.1016/0022-2364(79)90019-2
53.
KuhnsPLLizakMJLeeSHConradiMS. Inductive coupling and tuning in NMR probes; Applications. J Magn Reson (1988) 78:69–76. 10.1016/0022-2364(88)90157-6
54.
DecorpsMBlondetPReutenauerHAlbrandJRemyC. An inductively coupled, series-tuned NMR probe. J Magn Reson (1985) 65:100–9. 10.1016/0022-2364(85)90378-6
55.
HoultDITomanekB. Use of mutually inductive coupling in probe design. Concepts Magn Reson Part B Magn Reson Eng (2002) 15:262–85. 10.1002/cmr.10047
56.
CassidyPJClarkeKEdwardsDJ. Determining the tuning and matching requirements of RF coils using electromagnetic simulation and electric circuit analysis. Concepts Magn Reson Part B Magn Reson Eng (2005) 25:27–41. 10.1002/cmr.b.20029
57.
RaadADarrasseL. Optimization of NMR receiver bandwidth by inductive coupling. Magn Reson Imaging (1992) 10:55–65. 10.1016/0730-725X(92)90373-8
58.
KajfezDHwanEJ. Q-factor measurement with network analyzer. IEEE Trans Microw Theor Tech (1984) 32:666–70. 10.1109/TMTT.1984.1132751
59.
MillerJBSuitsBHGarrowayANHeppMA. Interplay among recovery time, signal, and noise: series- and parallel-tuned circuits are not always the same. Concepts Magn Reson (2000) 12:125–36. 10.1002/(SICI)1099-0534(2000)12:3<125::AID-CMR2>3.0.CO;2-P
60.
QuirinTYushchenkoMSalamehNSarracanieM. High-input impedance preamplifiers for multi-channel strategies at low frequency. Annu Meet Eur Soc Magn Reson Med Biol (2020) 33:164–5. Abstract L01.108. 10.1007/s10334-020-00876-y
61.
YushchenkoMSarracanieMAmannMSinkusRWuerfelJSalamehN. Elastography validity criteria definition using numerical simulations and MR acquisitions on a low-cost structured phantom. Front Phys (2021) 9:9. 10.3389/fphy.2021.620331
62.
SarracanieMArmstrongBDStockmannJRosenMS. High speed 3D overhauser-enhanced MRI using combined b-SSFP and compressed sensing. Magn Reson Med (2014) 71:735–45. 10.1002/mrm.24705
63.
DarrasseLGinefriJ-C. Perspectives with cryogenic RF probes in biomedical MRI. Biochimie (2003) 85:915–37. 10.1016/j.biochi.2003.09.016
64.
EdelsteinWABottomleyPAPfeiferLM. A signal-to-noise calibration procedure for NMR imaging systems. Med Phys (1984) 11:180–5. 10.1118/1.595484
65.
GudbjartssonHPatzS. The rician distribution of noisy mri data. Magn Reson Med (1995) 34:910–4. 10.1002/mrm.1910340618
66.
BernsteinMAKingKFZhouXJ. Handbook of MRI pulse sequences. Netherlands: Elsevier (2004). 10.1016/B978-0-12-092861-3.X5000-6
67.
GilbertKMSchollTJChronikBA. RF coil loading measurements between 1 and 50 MHz to guide field-cycled MRI system design. Concepts Magn Reson Part B Magn Reson Eng (2008) 33B:177–91. 10.1002/cmr.b.20118
68.
RobinsonSDBrediesKKhabipovaDDymerskaBMarquesJPSchweserF. An illustrated comparison of processing methods for MR phase imaging and QSM: combining array coil signals and phase unwrapping. NMR Biomed (2017) 30:e3601. 10.1002/nbm.3601
69.
YushchenkoMSarracanieMSalamehN. Fast acquisition of propagating waves in humans with low-field MRI: toward accessible MR elastography. Sci Adv (2022) 8:5739–12. 10.1126/sciadv.abo5739
70.
DotyFD. Probe design and construction. In: eMagRes. Chichester, UK: John Wiley & Sons, Ltd (2009). 10.1002/9780470034590.emrstm0414.pub2
71.
LiuYLeongATLZhaoYXiaoLMakHKFTsangACOet alA low-cost and shielding-free ultra-low-field brain MRI scanner. Nat Commun (2021) 12:7238–14. 10.1038/s41467-021-27317-1
72.
SrinivasSACauleySFStockmannJPSappoCRVaughnCEWaldLLet alExternal dynamic InTerference estimation and removal (EDITER) for low field MRI. Magn Reson Med (2022) 87:614–28. 10.1002/mrm.28992
73.
HoultDIRichardsRE. The signal-to-noise ratio of the nuclear magnetic resonance experiment. J Magn Reson (1976) 24:71–85. 10.1016/0022-2364(76)90233-X
74.
HarperJRZárateCKrauchFMuhumuzaIMolinaJObungolochJet alAn unmatched radio frequency chain for low-field magnetic resonance imaging. Front Phys (2022) 9:727536. 10.3389/fphy.2021.727536
Summary
Keywords
low-field MRI, quadrature RF coil, biplanar coil array, extremity imaging, versatile open design
Citation
Yushchenko M, Choquet P, Salameh N and Sarracanie M (2023) Biplanar quadrature coil for versatile low-field extremity MRI. Front. Phys. 11:987197. doi: 10.3389/fphy.2023.987197
Received
05 July 2022
Accepted
03 July 2023
Published
17 August 2023
Volume
11 - 2023
Edited by
Silvia Capuani, National Research Council (CNR), Italy
Reviewed by
Joseba Alonso, Spanish National Research Council (CSIC), Spain
Matthew ManHin Cheung, CUHK Medical Centre, Hong Kong SAR, China
Valentina Hartwig, National Research Council (CNR), Italy
Updates
Copyright
© 2023 Yushchenko, Choquet, Salameh and Sarracanie.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Maksym Yushchenko, maxyush@gmail.com; Mathieu Sarracanie, mathieu.sarracanie@abdn.ac.uk
†These authors have contributed equally to this work and share last authorship
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.