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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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