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Abstract #2756

Evaluation of Principal Component Model-Based Algorithm for T2 Estimation of Small Objects

Chuan Huang1, Christian G. Graff2, Ali Bilgin3,4, Maria I. Altbach5

1Mathematics, University of Arizona, Tucson, AZ, United States; 2Division of Imaging & Applied Mathematics, Food & Drug Administration; 3Biomedical Engineering, University of Arizona; 4Electrical & Computer Engineering, University of Arizona; 5Radiology, University of Arizona

Radial Fast Spin Echo (FSE) methods have been proposed for fast T2 mapping using highly undersampled data. One approach to process the data is based on echo sharing where mixed TE data sets are used to reconstruct T2 maps. Due to the mixing of TE data, however, T2 estimation for small structures could be problematic.