Research Topic

Artificial intelligence in diffusion MRI and clinical applications

About this Research Topic

Diffusion MRI (dMRI) is an advanced imaging technique that measures the molecular motion (diffusion) of water molecules. dMRI is the only noninvasive technique for mapping of brain white matter. dMRI also enables modeling and quantification of tissue microstructure in the brain, providing insights for understanding tissue structure and compartmentation. Nowadays, dMRI, in combination with advances in AI and machine learning, are playing a vital role in clinical and research applications for understanding neurological development, brain function and structure, and brain disease.

The goal of this Research Topic is to offer opportunities to share new perspectives on the most recent research challenges in the field of dMRI and AI, and also offers a valuable venue for anyone interested in learning AI techniques in diffusion MRI. This Research Topic includes rigorous mathematical derivations, novel machine learning techniques, and clinically relevant results. As such, it will be of interest to technical and clinical researchers.

We welcome submissions of both research and review articles covering but not limited to a broad range of topics:

- dMRI signal reconstruction, denoising, artifact correction, etc.
- dMRI segmentation, registration, etc.
- Machine learning and deep learning for diffusion MRI
- Tissue microstructure modeling
- Tractography and study of brain structural connectivity features
- Clinical applications using dMRI and AI (neurological development, brain function, brain disease, etc.)


Keywords: Diffusion MRI, Artificial intelligence, Deep learning, Machine learning, Tissue modeling, Tractography, Diffusion acquisition, White matter analysis, Clinical outcome, Brain disease diagnosis, Brain structure and function


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Diffusion MRI (dMRI) is an advanced imaging technique that measures the molecular motion (diffusion) of water molecules. dMRI is the only noninvasive technique for mapping of brain white matter. dMRI also enables modeling and quantification of tissue microstructure in the brain, providing insights for understanding tissue structure and compartmentation. Nowadays, dMRI, in combination with advances in AI and machine learning, are playing a vital role in clinical and research applications for understanding neurological development, brain function and structure, and brain disease.

The goal of this Research Topic is to offer opportunities to share new perspectives on the most recent research challenges in the field of dMRI and AI, and also offers a valuable venue for anyone interested in learning AI techniques in diffusion MRI. This Research Topic includes rigorous mathematical derivations, novel machine learning techniques, and clinically relevant results. As such, it will be of interest to technical and clinical researchers.

We welcome submissions of both research and review articles covering but not limited to a broad range of topics:

- dMRI signal reconstruction, denoising, artifact correction, etc.
- dMRI segmentation, registration, etc.
- Machine learning and deep learning for diffusion MRI
- Tissue microstructure modeling
- Tractography and study of brain structural connectivity features
- Clinical applications using dMRI and AI (neurological development, brain function, brain disease, etc.)


Keywords: Diffusion MRI, Artificial intelligence, Deep learning, Machine learning, Tissue modeling, Tractography, Diffusion acquisition, White matter analysis, Clinical outcome, Brain disease diagnosis, Brain structure and function


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

30 September 2021 Abstract
31 January 2022 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

30 September 2021 Abstract
31 January 2022 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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