| Title |
|
|
|
NOVIFAST: A fast algorithm for accurate and precise VFA MRI mapping
| |
| Author |
|
|
|
| |
| Abstract |
|
|
|
| In quantitative magnetic resonance T 1 mapping, the Variable Flip Angle (VFA) steady state spoiled gradient recalled echo (SPGR) imaging technique is popular as it provides a series of high resolution T 1 weighted images in a clinically feasible time. Fast, linear methods that estimate T 1 maps from these weighted images have been proposed, such as DESPOT1 and iterative re- weighted linear least squares (IRWLLS). More accurate, non- linear least squares (NLLS) estimators are in play, but these are generally much slower and require careful initialization. In this work, we present NOVIFAST, a novel NLLS-based algorithm specifically tailored to VFA SPGR T 1 mapping. By exploiting the particular structure of the SPGR model, a computationally efficient, yet accurate and precise T 1 map estimator is derived. Simulation and in vivo human brain experiments demonstrate a twenty-fold speed gain of NOVIFAST compared to conven- tional gradient-based NLLS estimators, while maintaining a high precision and accuracy. Moreover, NOVIFAST is eight times faster than efficient implementations of the VARPRO method. Furthermore, NOVIFAST is shown to be robust against initialization. |
| |
| Language |
|
|
|
English
| |
| Source (journal) |
|
|
|
IEEE transactions on medical imaging / Institute of Electrical and Electronics Engineers [New York, N.Y.] - New York, N.Y. | |
| Publication |
|
|
|
New York, N.Y. : 2018
| |
| ISSN |
|
|
|
0278-0062
| |
| Volume/pages |
|
|
|
37:11(2018), p. 2414-2427
| |
| ISI |
|
|
|
000449113800004
| |
| Pubmed ID |
|
|
|
29993537
| |
| Full text (Publisher's DOI) |
|
|
| | |
| Full text (open access) |
|
|
| | |
|