Multiobjective guided priors improve the accuracy of near-infrared spectral tomography for breast imaging

Jinchao Feng; Shudong Jiang; Junqing Xu; Yan Zhao; Brian W. Pogue; Keith D. Paulsen

doi:10.1117/1.JBO.21.9.090506

23 September 2016 Multiobjective guided priors improve the accuracy of near-infrared spectral tomography for breast imaging

Jinchao Feng, Shudong Jiang, Junqing Xu, Yan Zhao, Brian W. Pogue, Keith D. Paulsen

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Journal of Biomedical Optics, Vol. 21, Issue 9, 090506 (September 2016). https://doi.org/10.1117/1.JBO.21.9.090506

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.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Jinchao Feng, Shudong Jiang, Junqing Xu, Yan Zhao, Brian W. Pogue, and Keith D. Paulsen "Multiobjective guided priors improve the accuracy of near-infrared spectral tomography for breast imaging," Journal of Biomedical Optics 21(9), 090506 (23 September 2016). https://doi.org/10.1117/1.JBO.21.9.090506

Published: 23 September 2016

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