Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
365-06-007 ISMRM Abstract

Enhanced Voxel-Level fODF Reconstruction from Single-Shell dMRI Using V-NET with Adaptive Multi-Scale Attention

Primary: Diffusion - Diffusion Reconstruction
Secondary: Transferable Skills
365-06-007 · Diffusion MRI Reconstruction Methods · Monday, 11 May, 5:05 PM–6:00 PM · Digital Posters Row F
Accepted
Hirak Doshi1, Durgesh K Dwivedi2, Ranjeet R Jha3, Walter Schneider4,5, Sudhir K Pathak 5,6, BV Rathish Kumar7
1Mathematics and Statistics, Indian Institute of Technology, Kanpur, India
2Radiodiagnosis, King George's Medical University, Lucknow, India
3Department of Mathematics, Indian Institute of Technology, Hyderabad, India
4Department of Psychology, University of Pittsburgh, Pittsburgh, United States of America
5University of Pittsburgh, Pittsburgh, United States of America
6Learning Research and Development Center, University of Pittsburgh, Pittsburgh, United States of America
7Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur, India
Presenting Author: Sudhir K Pathak

Synopsis

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References

1. Jha RR, Nigam A, Bhavsar A, Pathak SK, Schneider W, Kumar BVR. Multi-shell D-MRI reconstruction via residual learning utilizing encoder-decoder network with attention (MSR-Net). Annu Int Conf IEEE Eng Med Biol Soc. 2020. https://doi.org/10.1109/EMBC44109.2020.9175455 [doi]
2. Jha RR, Jaswal G, Bhavsar A, Nigam A. Single-shell to multi-shell dMRI transformation using spatial and volumetric multilevel hierarchical reconstruction framework. Magn Reson Imaging. 2022;87:133–156. https://doi.org/10.1016/j.mri.2021.12.011 [doi]
3. Dugan R, Carmichael O. Multi-shell dMRI estimation from single-shell data via deep learning. In: Abdulkadir A, et al., eds. Machine Learning in Clinical Neuroimaging. Vol 14312. Cham, Switzerland: Springer; 2023:13–22. https://doi.org/10.1007/978-3-031-44858-4_2 [doi]
4. The Human Connectome Project. Pre-processed diffusion data. Online resource. https://db.humanconnectome.org/.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/365-06-007