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Abstract #3303

Multi-component T2 Modeling for Improved Characterization of Abdominal Neoplasms

Mahesh Bharath Keerthivasan1,2, Jean-Philippe Galons2, Diego Martin3, Ali Bilgin2,3,4, and Maria Altbach2
1Siemens Medical Solutions USA Inc, New York, NY, United States, 2Medical Imaging, University of Arizona, Tucson, AZ, United States, 3Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 4Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States

Turbo spin-echo based T2 quantification of neoplasms is affected by partial volume effects resulting in underestimation of T2 values leading to lesion misclassification. Bi-exponential models proposed for two-component T2 estimation do not account for flip angle variations across the excited slice due to RF imperfections. This work presents a two-component model for accurate T2 estimation in the presence of partial volume which considers the slice profile of the excitation and refocusing pulses. The proposed model has <4% relative error in slices affected by partial volume and allows good separation between benign and malignant lesions in the abdomen.

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