Abstract #0339
An algorithm for fast and accurate T2 * mapping based on Auto-Regression on Linear Operations (ARLO) of data
Mengchao Pei 1,2 , Thanh D. Nguyen 3 , Nanda D. Thimmappa 3 , Carlo Salustri 3 , Fang Dong 2 , Mitchell A. Cooper 4 , Jianqi Li 5 , Martin Prince 3 , and Yi Wang 3
1
East China Normal University, Shanghai,
Shanghai, China,
2
Yifu
Inc, Jiaxing, Zhejiang, China,
3
Radiology,
Weill Cornell Medical College, New York, NY, United
States,
4
Cornell
University, Ithaca, NY, United States,
5
East
China Normal University, Shanghai, China
We propose a novel fast and accurate method for
calculating transverse relaxation times called Auto
Regression on Linear Operations (ARLO). T2
*
mapping
using simulated and in vivo data showed ARLO delivered
comparable accuracy compared to the non-linear least
squares based Levenberg-Marquardt (LM) algorithm and
better accuracy for lower SNR and shorter T2
*
compared
to the Log-Linear (LL) algorithm. ARLO is approximately
100 and 10 times faster than LM and LL, respectively,
enabling rapid whole-organ T2
*
mapping.
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