Abstract
When performing the diffuse optical tomography (DOT) of the breast, the mismatch between the forward model and the experimental conditions will significantly hinder the reconstruction accuracy. Therefore, the reference measurement is commonly used to calibrate the measured data before the reconstruction. However, it is complicated to customize corresponding reference phantoms based on the breast shape and background optical parameters of different subjects in clinical trials. Furthermore, although high-density (HD) DOT configuration has been proven to improve imaging quality, a large number of source-detector (SD) pairs also increase the difficulty of multi-channel correction. To enhance the applicability of the breast DOT, a data self-calibration method based on an HD parallel-plate DOT system is proposed in this paper to replace the conventional relative measurement on a reference phantom. The reference predicted data can be constructed directly from the measurement data with the support of the HD-DOT system, which has nearly a hundred sets of measurements at each SD distance. The proposed scheme has been validated by Monte Carlo (MC) simulation, breast-size phantom experiments, and clinical trials, exhibiting the feasibility in ensuring the quality of the DOT reconstruction while effectively reducing the complexity associated with relative measurements on reference phantoms.
Highlights
Diffuse optical tomography (DOT) is a highly specific functional imaging modality for breast cancer imaging, which can offer a low-cost, non-invasive, and portable alternative technology to magnetic resonance imaging (MRI), positron emission tomography (PET), and digital breast tomosynthesis (DBT) [1,2,3,4,5]
Photon propagation in breast tissue can be described by the diffusion equation (DE), and the absorption distribution in the tissue is obtained by solving the inverse problem
We first evaluated the difference between the estimated virtual reference measurement data and the reference phantom data in Monte Carlo (MC) simulation using the relative error as Eq [12]: oo 1 I J G est(rsi, rdj ) − G ref
Summary
Diffuse optical tomography (DOT) is a highly specific functional imaging modality for breast cancer imaging, which can offer a low-cost, non-invasive, and portable alternative technology to magnetic resonance imaging (MRI), positron emission tomography (PET), and digital breast tomosynthesis (DBT) [1,2,3,4,5]. Photon propagation in breast tissue can be described by the diffusion equation (DE), and the absorption distribution in the tissue is obtained by solving the inverse problem. Based on multi-wavelength measurements and spectral unmixing, the concentration distribution of. Tumor tissue usually exhibits increased blood vessel density and decreased oxygen content, which leads to a higher total hemoglobin concentration and lower blood oxygen saturation. Since biological tissue is the turbid and highly scattering media, the quality of the reconstructed DOT image is unsatisfactory [9]
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