Open Access
22 May 2019 Reducing image artifact in diffuse optical tomography by iterative perturbation correction based on multiwavelength measurements
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Abstract
Ultrasound (US) guided diffuse optical tomography has demonstrated great potential for breast cancer diagnosis, treatment monitoring, and chemotherapy response prediction. Optical measurements of four different wavelengths are used to reconstruct unknown optical absorption maps, which are then used to calculate the hemoglobin concentration distribution of the US visible lesion. Reconstructed absorption maps are prone to image artifacts from outliers in measurement data from tissue heterogeneity, bad coupling between tissue and light guides, and motion by patient or operator. We propose an automated iterative perturbation correction algorithm to reduce image artifacts based on the structural similarity index (SSIM) of absorption maps of four optical wavelengths. The initial image is estimated from the truncated pseudoinverse solution. The SSIM was calculated for each wavelength to assess its similarity with other wavelengths. An absorption map is repeatedly reconstructed and projected back into measurement space to quantify projection error. Outlier measurements with highest projection errors are iteratively removed until all wavelength images are structurally similar with SSIM values greater than a threshold. Clinical data demonstrate statistically significant improvement in image artifact reduction.
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.
K. M. Shihab Uddin and Quing Zhu "Reducing image artifact in diffuse optical tomography by iterative perturbation correction based on multiwavelength measurements," Journal of Biomedical Optics 24(5), 056005 (22 May 2019). https://doi.org/10.1117/1.JBO.24.5.056005
Received: 14 December 2018; Accepted: 19 April 2019; Published: 22 May 2019
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CITATIONS
Cited by 14 scholarly publications.
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KEYWORDS
Absorption

Diffuse optical tomography

Breast

Tissue optics

Reconstruction algorithms

Breast cancer

Tissues

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