Meeting Banner
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.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here