Paper
9 March 2017 Estimation of breast dose reduction potential for organ-based tube current modulated CT with wide dose reduction arc
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Abstract
This study aimed to estimate the organ dose reduction potential for organ-dose-based tube current modulated (ODM) thoracic CT with wide dose reduction arc. Twenty-one computational anthropomorphic phantoms (XCAT, age range: 27– 75 years, weight range: 52.0-105.8 kg) were used to create a virtual patient population with clinical anatomic variations. For each phantom, two breast tissue compositions were simulated: 50/50 and 20/80 (glandular-to-adipose ratio). A validated Monte Carlo program was used to estimate the organ dose for standard tube current modulation (TCM) (SmartmA, GE Healthcare) and ODM (GE Healthcare) for a commercial CT scanner (Revolution, GE Healthcare) with explicitly modeled tube current modulation profile, scanner geometry, bowtie filtration, and source spectrum. Organ dose was determined using a typical clinical thoracic CT protocol. Both organ dose and CTDIvol-to-organ dose conversion coefficients (h factors) were compared between TCM and ODM. ODM significantly reduced all radiosensitive organ doses (p<0.01). The breast dose was reduced by 30±2%. For h factors, organs in the anterior region (e.g. thyroid, stomach) exhibited substantial decreases, and the medial, distributed, and posterior region either saw an increase or no significant change. The organ-dose-based tube current modulation significantly reduced organ doses especially for radiosensitive superficial anterior organs such as the breasts.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wanyi Fu, Gregory M. Sturgeon, Greeshma Agasthya, W. Paul Segars, Anuj J. Kapadia, and Ehsan Samei "Estimation of breast dose reduction potential for organ-based tube current modulated CT with wide dose reduction arc", Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013246 (9 March 2017); https://doi.org/10.1117/12.2255797
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KEYWORDS
Breast

Medicine

Monte Carlo methods

Scanners

Computed tomography

X-ray computed tomography

Tissues

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