Document Type
Article
Publication Date
9-23-2016
Publication Title
Journal of Biomedical Optics
Department
Thayer School of Engineering
Abstract
An image reconstruction regularization approach for magnetic resonance imaging-guided near-infrared spectral tomography has been developed to improve quantification of total hemoglobin (HbT) and water. By combining prior information from dynamic contrast enhanced (DCE) and diffusion weighted (DW) MR images, the absolute bias errors of HbT and water in the tumor were reduced by 22% and 18%, 21% and 6%, and 10% and 11%, compared to that in the no-prior, DCE- or DW-guided reconstructed images in three-dimensional simulations, respectively. In addition, the apparent contrast values of HbT and water were increased in patient image reconstruction from 1.4 and 1.4 (DCE) or 1.8 and 1.4 (DW) to 4.6 and 1.6.
DOI
10.1117/1.JBO.21.9.090506
Dartmouth Digital Commons Citation
Feng, Jinchao; Jiang, Shudong; Xu, Junqing; Zhao, Yan; Pogue, Brian W.; and Paulsen, Keith D., "Multiobjective Guided Priors Improve the Accuracy of Near-Infrared Spectral Tomography for Breast Imaging" (2016). Dartmouth Scholarship. 3663.
https://digitalcommons.dartmouth.edu/facoa/3663