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Abstract #3600

A novel MOLLI T1 analysis method with data matching for reduced T1 underestimation

Yuta Endo1, Haruna Shibo1, Makoto Amanuma1, Kuninori Kobayashi1, and Shigehide Kuhara1
1Faculty of Health Sciences, Kyorin University, Mitaka-shi, Tokyo, Japan

Myocardial T1 mapping using the modified Look-Locker inversion recovery (MOLLI) method shows good precision of T1 measurements, but their underestimation has long remained a problem in accurate T1 estimation. We developed a novel T1 analysis method by applying a data-matching strategy to the MOLLI method. The analysis method we propose estimates the T1 map by matching the MOLLI signals of a subject to dictionary data pixel-wise, which are the Look-Locker signals calculated in advance for various tissue parameters. The proposed method sufficiently reduces T1 underestimation of the MOLLI method and obtains more accurate T1 values.

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