AUTHOR=Jain Saurabh , Sima Diana M. , Sanaei Nezhad Faezeh , Hangel Gilbert , Bogner Wolfgang , Williams Stephen , Van Huffel Sabine , Maes Frederik , Smeets Dirk 

TITLE=Patch-Based Super-Resolution of MR Spectroscopic Images: Application to Multiple Sclerosis

JOURNAL=Frontiers in Neuroscience

VOLUME=Volume 11 - 2017

YEAR=2017

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2017.00013

DOI=10.3389/fnins.2017.00013

ISSN=1662-453X

ABSTRACT=<p><bold>Purpose:</bold> Magnetic resonance spectroscopic imaging (MRSI) provides complementary information to conventional magnetic resonance imaging. Acquiring high resolution MRSI is time consuming and requires complex reconstruction techniques.</p><p><bold>Methods:</bold> In this paper, a patch-based super-resolution method is presented to increase the spatial resolution of metabolite maps computed from MRSI. The proposed method uses high resolution anatomical MR images (T1-weighted and Fluid-attenuated inversion recovery) to regularize the super-resolution process. The accuracy of the method is validated against conventional interpolation techniques using a phantom, as well as simulated and <italic>in vivo</italic> acquired human brain images of multiple sclerosis subjects.</p><p><bold>Results:</bold> The method preserves tissue contrast and structural information, and matches well with the trend of acquired high resolution MRSI.</p><p><bold>Conclusions:</bold> These results suggest that the method has potential for clinically relevant neuroimaging applications.</p>