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Abstract #4413

Multi-dimensional Moment Imaging (MMI) for probing tissue microstructure

Lipeng Ning1,2, Filip Szczepankiewicz1,2, Borjan Gagoski2,3, Carl-Fredrik Westin1,2, and Yogesh Rathi1,2
1Brigham and Women's Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Boston Children's Hospital, Boston, MA, United States

Multi-dimensional imaging techniques can provide complementary information to investigate the microscopic organizations of biological tissue. Deriving meaningful indices from these multi-dimensional imaging data is important to make these techniques relevant to clinical research. In this work, we introduce a general framework to estimate the moments of the joint probability distribution of T1, T2 relaxation and diffusion coefficients. This framework is an extension of our previously introduced REDIM approach which only focused on joint moments of T2 relaxation and diffusion. We show the cross coupling between different parameters using three datasets acquired using different protocols.

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