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Multiobjective Guided Priors Improve the Accuracy of Near-infrared Spectral Tomography for Breast Imaging

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Journal J Biomed Opt
Date 2016 Sep 24
PMID 27658468
Citations 8
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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.

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References
1.
Fang Q, Moore R, Kopans D, Boas D . Compositional-prior-guided image reconstruction algorithm for multi-modality imaging. Biomed Opt Express. 2011; 1(1):223-235. PMC: 3005170. DOI: 10.1364/boe.1.000223. View

2.
Deng B, Brooks D, Boas D, Lundqvist M, Fang Q . Characterization of structural-prior guided optical tomography using realistic breast models derived from dual-energy x-ray mammography. Biomed Opt Express. 2015; 6(7):2366-79. PMC: 4505695. DOI: 10.1364/BOE.6.002366. View

3.
Zhang L, Zhao Y, Jiang S, Pogue B, Paulsen K . Direct regularization from co-registered anatomical images for MRI-guided near-infrared spectral tomographic image reconstruction. Biomed Opt Express. 2015; 6(9):3618-30. PMC: 4574684. DOI: 10.1364/BOE.6.003618. View

4.
Ntziachristos V, Yodh A, Schnall M, Chance B . MRI-guided diffuse optical spectroscopy of malignant and benign breast lesions. Neoplasia. 2002; 4(4):347-54. PMC: 1661680. DOI: 10.1038/sj.neo.7900244. View

5.
Mastanduno M, Xu J, El-Ghussein F, Jiang S, Yin H, Zhao Y . MR-Guided Near-Infrared Spectral Tomography Increases Diagnostic Performance of Breast MRI. Clin Cancer Res. 2015; 21(17):3906-12. PMC: 4763338. DOI: 10.1158/1078-0432.CCR-14-2546. View