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13 February 2007 Reference selection of NIR breast imaging using perturbation approach
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Abstract
A typical perturbation-based image reconstruction technique requires a homogeneous reference for accurate estimation of target-caused perturbation and accurate reconstruction of target optical properties. Therefore reference selection is critical. In this report, we analyze the influence of different references on reconstructed optical images when a typical perturbation approach, such as Born method, is used for imaging reconstruction. A new photon tracking method using Monte Carlo simulation is developed and used to analyze the contributions of a target and a chest-wall layer underneath the breast tissue to the NIR measurements. We have found that a chest-wall layer has much larger contribution than the target when the breast-tissue layer thickness is less than 1.5 to 2.0 cm deep depending on bulk optical properties. Different references, such as optical property-matched and depth-unmatched reference, depth-matched and property-unmatched reference, property-unmatched and depth-unmatched reference, and property-matched and depth-matched reference, are compared and evaluated using the total perturbation and the reconstructed image quality as quantitative criteria. We have found that the property-matched and depth-matched reference provides the best result with error less than 5%, and the depth-matched and property-unmatched reference provides the worst results with error larger than 60%. Phantom experiments confirm with the simulation results. As results, we suggest using the measurements from a normal contralateral site of the same quadrant as the breast lesion with matched propagation depth as best property-matched and depth-matched reference with the help of co-registered ultrasound in clinical trials.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chen Xu and Quing Zhu "Reference selection of NIR breast imaging using perturbation approach", Proc. SPIE 6434, Optical Tomography and Spectroscopy of Tissue VII, 643415 (13 February 2007); https://doi.org/10.1117/12.700869
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