Document Type

Article

Publication Date

6-25-2018

Publication Title

Biomedical Optics Express

Department

Thayer School of Engineering

Abstract

Structural image-guided near-infrared spectral tomography (NIRST) has been developed as a way to use diffuse NIR spectroscopy within the context of image-guided quantification of tissue spectral features. A direct regularization imaging (DRI) method for NIRST has the value of not requiring any image segmentation. Here, we present a comprehensive investigational study to analyze the impact of the weighting function implied when weighting the recovery of optical coefficients in DRI based NIRST. This was done using simulations, phantom and clinical patient exam data. Simulations where the true object is known indicate that changes to this weighting function can vary the contrast by 10%, the contrast to noise ratio by 20% and the full width half maximum (FWHM) by 30%. The results from phantoms and human images show that a linear inverse distance weighting function appears optimal, and that incorporation of this function can generally improve the recovered total hemoglobin contrast of the tumor to the normal surrounding tissue by more than 15% in human cases.

DOI

10.1364/BOE.9.003266

Comments

© 2018 Optical Society of America. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.

Original Citation

Jinchao Feng, Shudong Jiang, Brian W. Pogue, and Keith Paulsen, "Weighting function effects in a direct regularization method for image-guided near-infrared spectral tomography of breast cancer," Biomed. Opt. Express 9, 3266-3283 (2018)

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