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Journal of Medical Imaging

Organ dose variability and trends in tomosynthesis and radiography
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Paper Abstract

The purpose of this study was to investigate relationships between patient attributes and organ dose for a population of computational phantoms for 20 tomosynthesis and radiography protocols. Organ dose was estimated from 54 adult computational phantoms (age: 18 to 78 years, weight 52 to 117 kg) using a validated Monte-Carlo simulation (PENELOPE) of a system capable of performing tomosynthesis and radiography. The geometry and field of view for each exam were modeled to match clinical protocols. For each protocol, the energy deposited in each organ was estimated by the simulations, converted to dose units, and then normalized by exposure in air. Dose to radiosensitive organs was studied as a function of average patient thickness in the region of interest and as a function of body mass index. For tomosynthesis, organ doses were also studied as a function of x-ray tube position. This work developed comprehensive information for organ dose dependencies across a range of tomosynthesis and radiography protocols. The results showed a protocol-dependent exponential decrease with an increasing patient size. There was a variability in organ dose across the patient population, which should be incorporated in the metrology of organ dose. The results can be used to prospectively and retrospectively estimate organ dose for tomosynthesis and radiography.

Paper Details

Date Published: 1 August 2017
PDF: 29 pages
J. Med. Imag. 4(3) 031207 doi: 10.1117/1.JMI.4.3.031207
Published in: Journal of Medical Imaging Volume 4, Issue 3
Show Author Affiliations
Jocelyn Hoye, Duke Univ. Medical Ctr. (United States)
Yakun Zhang, Duke Univ. (United States)
Duke Univ. Medical Ctr. (United States)
Greeshma Agasthya, Duke Univ. Medical Ctr. (United States)
Greg M. Sturgeon, Carl E. Ravin Advanced Imaging Labs. (United States)
Anuj J. Kapadia, Duke Univ. Medical Ctr. (United States)
Wiliam P. Segars, Carl E. Ravin Advanced Imaging Labs. (United States)
Ehsan Samei, Carl E. Ravin Advanced Imaging Labs. (United States)

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