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Abstract #0843

Non-invasive mapping of non-parametric cell size distributions using MRI-cytometry

Junzhong Xu1, Xiaoyu Jiang1, Sean P Devan2, Lori R Arlinghaus1, Eliot T McKinley1, Jingping Xie1, Zhongliang Zu1, Qing Wang3, A Bapsi Chakravarthy1, Yong Wang3, and John C Gore1
1Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt University, Nashville, TN, United States, 3Washingon University, St. Louis, MO, United States

Non-invasive mapping of cell size distribution provides a unique means to probe biological tissues. We introduce a diffusion MRI based framework that does not require prior assumptions on distribution functions to provide tissue microstructural properties including non-cell-volume-weighted cell size distributions. We validated this approach, which we call MRI-cytometry, comprehensively using computer simulations in silico, cultured cells in vitro, and animal xenografts in vivo. We then demonstrate the implementation of MRI-cytometry in imaging breast cancer patients using clinical 3T MRI, indicating its potential clinical application such as more specific assessments of tumor status and therapeutic responses.

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