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Abstract #4979

Automated Calculation of T2* Mapping for MR Images with Application of Certainty Criterion for Enhanced Display

Oyinlolu Adeyanju1, Einar Heirberg2, Jane Sjgren3

1Biomedical Engineering, Northwestern University, Chicago, IL, United States; 2Clinical Physiology, Lund University, Lund, Sweden; 3Engineering, Medviso AB, Lund, Sweden

T2* mapping is a broadly-applied MRI measurement technique with various applications in many areas of MRI, including fMRI, molecular cell tracking, and the in vivo quantification of superparamagnetic contrast agents. This study assessed the validity of a T2* mapping module implemented in Segment (Medviso, AB). The T2* mapping module employs a linear least squares fitting algorithm with a goodness of fit certainty criterion for enhancing the accuracy of T2* maps. When compared with standard methods of T2* mapping, Segment showed an improved correlation with concentration over standard methods in phantom measurements, with a much shorter time of T2* map creation.