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Abstract #2419

Two-component model of prostate tissue using hybrid multidimensional T2 and diffusion-weighted imaging

Ingrid Framås Syversen1, Mattijs Elschot2, Tone Frost Bathen2, and Pål Erik Goa3
1Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway, 2Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 3Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway

T2 and diffusion-weighted imaging (DWI) are increasingly used in the detection and staging of prostate cancer, however, usually under the assumption that the T2 values and apparent diffusion coefficients (ADC) are independent of each other. Using hybrid multidimensional imaging, where images are acquired at two echo times and two b-values, we estimate volume fractions of slow and fast diffusion compartments in the prostate with a two-compartment model. The results suggest that the volume fractions can be used to discriminate between tumor and normal prostate tissue.

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