Paper
29 March 2016 Optimal exposure techniques for iodinated contrast enhanced breast CT
Stephen J. Glick, Andrey Makeev
Author Affiliations +
Abstract
Screening for breast cancer using mammography has been very successful in the effort to reduce breast cancer mortality, and its use has largely resulted in the 30% reduction in breast cancer mortality observed since 1990 [1]. However, diagnostic mammography remains an area of breast imaging that is in great need for improvement. One imaging modality proposed for improving the accuracy of diagnostic workup is iodinated contrast-enhanced breast CT [2]. In this study, a mathematical framework is used to evaluate optimal exposure techniques for contrast-enhanced breast CT. The ideal observer signal-to-noise ratio (i.e., d’) figure-of-merit is used to provide a task performance based assessment of optimal acquisition parameters under the assumptions of a linear, shift-invariant imaging system. A parallel-cascade model was used to estimate signal and noise propagation through the detector, and a realistic lesion model with iodine uptake was embedded into a structured breast background. Ideal observer performance was investigated across kVp settings, filter materials, and filter thickness. Results indicated many kVp spectra/filter combinations can improve performance over currently used x-ray spectra.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen J. Glick and Andrey Makeev "Optimal exposure techniques for iodinated contrast enhanced breast CT", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97832N (29 March 2016); https://doi.org/10.1117/12.2216806
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Cited by 1 scholarly publication.
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KEYWORDS
Breast

X-rays

Tumor growth modeling

Iodine

Breast cancer

Signal to noise ratio

X-ray computed tomography

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