Linear image reconstruction for a diffuse optical mammography system in a noncompressed geometry using scattering fluid

Abstract

Diffuse optical tomography (DOT) is a potential new imaging modality to detect or monitor breast lesions. Recently, Philips developed a new DOT system capable of transmission and fluorescence imaging, where the investigated breast is hanging freely into the measurement cup containing scattering fluid. We present a fast and robust image reconstruction algorithm that is used for the transmission measurements. The algorithm is based on the Rytov approximation. We show that this algorithm can be used over a wide range of tissue optical properties if the reconstruction is adapted to each patient. We use estimates of the breast shape and average tissue optical properties to initialize the reconstruction, which improves the image quality significantly. We demonstrate the capability of the measurement system and reconstruction to image breast lesions by clinical examples.

© 2008 Optical Society of America

Optical mammography combined with fluorescence imaging: lesion detection using scatterplots

Anaïs Leproux, Marjolein van der Voort, Martin B. van der Mark, Rik Harbers, Stephanie M. W. Y. van de Ven, and Ton G. van Leeuwen
Biomed. Opt. Express 2(4) 1007-1020 (2011)

Three-dimensional time-resolved optical mammography of the uncompressed breast

Louise C. Enfield, Adam P. Gibson, Nicholas L. Everdell, David T. Delpy, Martin Schweiger, Simon R. Arridge, Caroline Richardson, Mohammad Keshtgar, Michael Douek, and Jeremy C. Hebden
Appl. Opt. 46(17) 3628-3638 (2007)

In vivo breast imaging with diffuse optical tomography based on higher-order diffusion equations

Yong Xu, Xuejun Gu, Laurie L. Fajardo, and Huabei Jiang
Appl. Opt. 42(16) 3163-3169 (2003)

Improving DOT reconstruction with a Born iterative method and US-guided sparse regularization

Shiqi Xu, K. M. Shihab Uddin, and Quing Zhu
Biomed. Opt. Express 10(5) 2528-2541 (2019)

Three-dimensional simulation of near-infrared diffusion in tissue: boundary condition and geometry analysis for finite-element image reconstruction

Brian W. Pogue, Shireen Geimer, Troy O. McBride, Shudong Jiang, Ulf L. Österberg, and Keith D. Paulsen
Appl. Opt. 40(4) 588-600 (2001)