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 language | English |
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Number of pages | 5 |
Publication status | Accepted/In press - 16 Sep 2019 |
Event | 2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing - Le Gosier, Guadeloupe, Guadeloupe Duration: 15 Dec 2019 → 18 Dec 2019 https://camsap19.ig.umons.ac.be/ |
Conference
Conference | 2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing |
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Abbreviated title | CAMSAP 2019 |
Country | Guadeloupe |
City | Guadeloupe |
Period | 15/12/19 → 18/12/19 |
Internet address |