4 August 2017 Breast dose reduction with organ-based, wide-angle tube current modulated CT
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This study aimed to estimate the organ dose reduction potential for organ-dose-based tube current modulated (ODM) thoracic computed tomography (CT) with a wide dose reduction arc. Twenty-one computational anthropomorphic phantoms (XCAT) were used to create a virtual patient population with clinical anatomic variations. The phantoms were created based on patient images with normal anatomy (age range: 27 to 66 years, weight range: 52.0 to 105.8 kg). For each phantom, two breast tissue compositions were simulated: 50/50 and 20/80 (glandular-to-adipose ratio). A validated Monte Carlo program (PENELOPE, Universitat de Barcelona, Spain) 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) 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 and stomach) exhibited substantial decreases, and the medial, distributed, and posterior region saw either an increase of less than 5% or no significant change. ODM significantly reduced organ doses especially for radiosensitive superficial anterior organs such as the breasts.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Wanyi Fu, Wanyi Fu, Gregory M. Sturgeon, Gregory M. Sturgeon, Greeshma Agasthya, Greeshma Agasthya, Wiliam Paul Segars, Wiliam Paul Segars, Anuj J. Kapadia, Anuj J. Kapadia, Ehsan Samei, Ehsan Samei, } "Breast dose reduction with organ-based, wide-angle tube current modulated CT," Journal of Medical Imaging 4(3), 031208 (4 August 2017). https://doi.org/10.1117/1.JMI.4.3.031208 . Submission: Received: 31 March 2017; Accepted: 6 July 2017
Received: 31 March 2017; Accepted: 6 July 2017; Published: 4 August 2017

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