Open Access Paper
17 October 2022 Effect of attenuation model on iodine quantification in contrast-enhanced breast CT
Mikhail Mikerov, Koen Michielsen, James G. Nagy, Ioannis Sechopoulos
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Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 123042T (2022) https://doi.org/10.1117/12.2646452
Event: Seventh International Conference on Image Formation in X-Ray Computed Tomography (ICIFXCT 2022), 2022, Baltimore, United States
Abstract
Accurate models of the X-ray attenuation process are required for quantitative estimation of iodine concentration with model-based reconstruction methods. The choice of model is influenced not only by the accuracy sought but also by the increasing complexity when more free parameters need to be reconstructed. The applicability of three attenuation models was investigated in a single pixel problem using either two or three monochromatic beams near the K-edge energy of iodine. We found that an empirical model with five components, proposed by Midgley, leads to the lowest error when modeling iodine free materials and small error in estimating iodine concentration (0.1% and 3.39%), whereas the decomposition into contributions due to photoelectric effect and incoherent scatter results in more accurate estimation of the iodine concentration (0.72%) but has larger error (8.9%) when reconstructing iodine free materials. Decomposition into base materials shows the worst results on both objectives (8.9% and 62%).
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Mikhail Mikerov, Koen Michielsen, James G. Nagy, and Ioannis Sechopoulos "Effect of attenuation model on iodine quantification in contrast-enhanced breast CT", Proc. SPIE 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography, 123042T (17 October 2022); https://doi.org/10.1117/12.2646452
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KEYWORDS
Iodine

Breast

X-ray computed tomography

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