Systematic optimization of MRI guided near infrared diffuse optical spectroscopy in breast

Yan Zhao; Michael A. Mastanduno; Shudong Jiang; Fadi El-Ghussein; Junqing Xu; Jiang Gui; Brian W. Pogue; Keith D. Paulsen

doi:10.1117/12.2079453

5 March 2015 Systematic optimization of MRI guided near infrared diffuse optical spectroscopy in breast

Yan Zhao, Michael A. Mastanduno, Shudong Jiang, Fadi El-Ghussein, Junqing Xu, Jiang Gui, Brian W. Pogue, Keith D. Paulsen

Author Affiliations +

Proceedings Volume 9316, Multimodal Biomedical Imaging X; 931605 (2015) https://doi.org/10.1117/12.2079453
Event: SPIE BiOS, 2015, San Francisco, California, United States

Abstract

A hybrid frequency domain (FD)-continuous wave (CW) MRI/NIRS system was validated in a clinical trial involving patients with at least ACR 4 radiologic findings in Xi’an, China. In this study, MRI guided nonlinear iterative reconstruction of near-infrared spectroscopy (NIRS) images with limited phase data is investigated. In addition, a systematic optimization of the system hardware design has been conducted as well. We are able to get less than 3% variation in tumor contrast to the surrounding normal tissue, by reducing the number of FD detectors from 16 to 6, showing the potential of reducing the FD detectors. Furthermore, a lookup table of the scattering properties has been made by averaging four MRI-identified breast density groups. By using this look-up table for the patient with the noisy phase data, similar AUCs and p-values are achieved for differentiating the malignant from benign patients.

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Yan Zhao, Yan Zhao, Michael A. Mastanduno, Michael A. Mastanduno, Shudong Jiang, Shudong Jiang, Fadi El-Ghussein, Fadi El-Ghussein, Junqing Xu, Junqing Xu, Jiang Gui, Jiang Gui, Brian W. Pogue, Brian W. Pogue, Keith D. Paulsen, Keith D. Paulsen, } "Systematic optimization of MRI guided near infrared diffuse optical spectroscopy in breast", Proc. SPIE 9316, Multimodal Biomedical Imaging X, 931605 (5 March 2015); doi: 10.1117/12.2079453; https://doi.org/10.1117/12.2079453

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