Fast Spatially Coherent Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling

Marica Pesce, Audrey Repetti, Yves Wiaux

Research output: Contribution to conferencePaper

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Abstract

Diffusion Magnetic Resonance Imaging is a state-of-the-art technique that can provide accurate identification of complex neuronal fiber configurations in the human brain. Typical acquisition times are however too long for the clinical application. We propose a method to recover the fiber orientation distribution (FOD) at high spatio-angular resolution via practical kq-space under-sampling patterns that enable both acceleration and super-resolution. The inverse problem for FOD reconstruction is regularized by a structured sparsity prior promoting simultaneously voxelwise sparsity and spatial smoothness of fiber orientations. A convex minimization problem is formulated and solved via a forward-backward algorithm. Real data analysis suggest that high spatio-angular resolution FOD mapping can be achieved from severe kq-space acceleration.
Original languageEnglish
Number of pages5
Publication statusAccepted/In press - 16 Sep 2019
Event2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing - Le Gosier, Guadeloupe, Guadeloupe
Duration: 15 Dec 201918 Dec 2019
https://camsap19.ig.umons.ac.be/

Conference

Conference2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Abbreviated titleCAMSAP 2019
CountryGuadeloupe
CityGuadeloupe
Period15/12/1918/12/19
Internet address

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