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 |
|---|---|
| Abbreviated title | CAMSAP 2019 |
| Country | Guadeloupe |
| City | Guadeloupe |
| Period | 15/12/19 → 18/12/19 |
| Internet address |
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Pesce, M., Repetti, A., & Wiaux, Y. (Accepted/In press). Fast Spatially Coherent Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling. Paper presented at 2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Guadeloupe, Guadeloupe.