作者
Vishwesh Nath, Samuel Remedios, Prasanna Parvathaneni, Colin B Hansen, Roza G Bayrak, Camilo Bermudez, Justin A Blaber, Kurt G Schilling, Vaibhav A Janve, Yurui Gao, Yuankai Huo, Ilwoo Lyu, Owen Williams, Susan Resnick, Lori Beason-Held, Baxter P Rogers, Iwona Stepniewska, Adam W Anderson, Bennett A Landman
发表日期
2019/2
期刊
Proceedings of SPIE--the International Society for Optical Engineering
卷号
10949
出版商
NIH Public Access
简介
Diffusion weighted magnetic resonance imaging (DW-MRI) is interpreted as a quantitative method that is sensitive to tissue microarchitecture at a millimeter scale. However, the sensitization is dependent on acquisition sequences (eg, diffusion time, gradient strength, etc.) and susceptible to imaging artifacts. Hence, comparison of quantitative DW-MRI biomarkers across field strengths (including different scanners, hardware performance, and sequence design considerations) is a challenging area of research. We propose a novel method to estimate microstructure using DW-MRI that is robust to scanner difference between 1.5 T and 3T imaging. We propose to use a null space deep network (NSDN) architecture to model DW-MRI signal as fiber orientation distributions (FOD) to represent tissue microstructure. The NSDN approach is consistent with histologically observed microstructure (on previously acquired ex …
学术搜索中的文章
V Nath, S Remedios, P Parvathaneni, CB Hansen… - Proceedings of SPIE--the International Society for …, 2019