365-06-003 ISMRM Abstract

Radial Basis Function Network for Highly Accelerated Radial Diffusion Spectrum Imaging (DSI)

Primary: Diffusion - Diffusion Reconstruction

Secondary: Diffusion - DWI/DTI/DKI

365-06-003 · Diffusion MRI Reconstruction Methods · Monday, 11 May, 5:05 PM–6:00 PM · Digital Posters Row F

Keywords: Diffusion Reconstruction Diffusion-Weighted Imaging Diffusion Spectrum Imaging Radial Basis Function Network Q-Space

Accepted

Christian Licht ¹, Steven H Baete², Fernando E Boada¹

¹Department of Radiology, Stanford University, Stanford, United States of America

²Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI²R), New York University Grossman School of Medicine, New York, United States of America

Presenting Author: Christian Licht

Synopsis

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References

1. Baete, S.H., Yutzy, S. and Boada, F.E. Radial q-space sampling for DSI. Magn. Reson. Med. 2016; 76: 769-780. https://doi.org/10.1002/mrm.25917. [doi]

2. Callaghan, P. T. Principles of nuclear magnetic resonance microscopy. Clarendon press, 1993.

3. Wedeen, V.J., Hagmann, P., Tseng, W.-Y.I., Reese, T.G. and Weisskoff, R.M. (2005), Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magn. Reson. Med., 54: 1377-1386. https://doi.org/10.1002/mrm.20642 [doi]

4. Menzel, M.I., Tan, E.T., Khare, K., Sperl, J.I., King, K.F., Tao, X., Hardy, C.J. and Marinelli, L. (2011), Accelerated diffusion spectrum imaging in the human brain using compressed sensing. Magn. Reson. Med., 66: 1226-1233. https://doi.org/10.1002/mrm.23064 [doi]

5. Licht, C. Baete, S.H., Obinwa, C., Boada, F.E. Accelerated Radial Diffusion Spectrum Imaging by Leveraging Compressed Sensing. ISMRM Workshop on Diffusion MRI 2025.

6. Wurzberger, F.; Schwenker, F. Learning in Deep Radial Basis Function Networks. Entropy 2024, 26, 368. https://doi.org/10.3390/e26050368. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/365-06-003