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Proceedings Paper

Estimation of breast dose reduction potential for organ-based tube current modulated CT with wide dose reduction arc
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Paper 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.

Paper Details

Date Published: 9 March 2017
PDF: 7 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013246 (9 March 2017); doi: 10.1117/12.2255797
Show Author Affiliations
Wanyi Fu, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (United States)
Duke Univ. (United States)
Gregory M. Sturgeon, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (United States)
Greeshma Agasthya, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (United States)
W. Paul Segars, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (United States)
Duke Univ. (United States)
Anuj J. Kapadia, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (United States)
Duke Univ. (United States)
Ehsan Samei, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (United States)
Duke Univ. (United States)


Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)

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