Name
Title | ||
|---|---|---|
Quantitative Susceptibility Mapping (QSM) Algorithms: Mathematical Rationale and Computational Implementations. |
Abstract | ||
|---|---|---|
Quantitative susceptibility mapping (QSM) solves the magnetic field-to-magnetization (tissue susceptibility) inverse problem under conditions of noisy and incomplete field data acquired using magnetic resonance imaging. Therefore, sophisticated algorithms are necessary to treat the ill-posed nature of the problem and are reviewed here. The forward problem is typically presented as an integral form... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TBME.2017.2749298 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Magnetic resonance imaging,Magnetic susceptibility,Bayes methods,Resource description framework,Inverse problems,Kernel,Partial differential equations | Kernel (linear algebra),Mathematical optimization,Convolution,Computer science,Quantitative susceptibility mapping,Algorithm,Inverse problem,Maximum a posteriori estimation,Prior probability,Partial differential equation,Bayesian probability | Journal |
Volume | Issue | ISSN |
64 | 11 | 0018-9294 |
Citations | PageRank | References |
4 | 0.46 | 25 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youngwook Kee | 1 | 8 | 2.88 |
| Zhe Liu | 2 | 6 | 0.84 |
| Liangdong Zhou | 3 | 4 | 0.46 |
| Alexey Dimov | 4 | 11 | 0.99 |
| Jung-Hun Cho | 5 | 4 | 0.46 |
| ludovic de rochefort | 6 | 6 | 1.20 |
| Jin Keun Seo | 7 | 376 | 58.65 |
| Yi Wang | 8 | 94 | 7.27 |