Name
Title | ||
|---|---|---|
Ms-Fract: Optimized Linear Transform Methods For Odf Estimation In Multi-Shell Diffusion Mri |
Abstract | ||
|---|---|---|
This paper proposes a new linear transform approach for multi-shell ODF estimation that has been theoretically characterized and does not require modeling assumptions. The proposed approach, called MS-FRACT, is optimized over the class of all rotationally-invariant linear transforms to yield accurate ODFs. Due to linearity, MS-FRACT yields stable and predictable results, and can be directly interpreted with respect to the true diffusion propagator. The performance of MS-FRACT is illustrated using simulated and real data. In addition to proposing MS-FRACT, a new theoretical framework is also described that can be applied to arbitrary multi-shell linear ODF estimation methods. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) | Diffusion Magnetic Resonance Imagine, Orientation Distribution Functions, Multi-Shell Acquisition |
Field | DocType | ISSN |
Diffusion MRI,Mathematical optimization,Pattern recognition,Computer science,Linear transform,Linearity,Algorithm,Stress (mechanics),Propagator,Artificial intelligence | Conference | 1945-7928 |
Citations | PageRank | References |
1 | 0.35 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Divya Varadarajan | 1 | 1 | 1.03 |
| Justin P. Haldar | 2 | 350 | 35.40 |