Name
Abstract | ||
|---|---|---|
Objective: Magnetic Resonance Fingerprinting (MRF) enables simultaneous mapping of multiple tissue parameters such as T1 and T2 relaxation times. The working principle of MRF relies on varying acquisition parameters pseudo-randomly, so that each tissue generates its unique signal evolution during scanning. Even though MRF provides faster scanning, it has disadvantages such as erroneous and ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TBME.2021.3116877 | IEEE Transactions on Biomedical Engineering |
Keywords | DocType | Volume |
Dictionaries,Computer architecture,Image reconstruction,Convolutional neural networks,Convolution,Testing,Principal component analysis | Journal | 69 |
Issue | ISSN | Citations |
4 | 0018-9294 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Refik Soyak | 1 | 0 | 0.34 |
| Ebru Navruz | 2 | 0 | 0.34 |
| Eda Ozgu Ersoy | 3 | 0 | 0.34 |
| Gastao Cruz | 4 | 12 | 3.92 |
| Claudia Prieto | 5 | 30 | 9.15 |
| Andrew P. King | 6 | 483 | 59.98 |
| Devrim Unay | 7 | 0 | 0.34 |
| Ilkay Öksüz | 8 | 54 | 9.32 |