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Journal of Medical Imaging

Automated, patient-specific estimation of regional imparted energy and dose from tube current modulated computed tomography exams across 13 protocols
Author(s): Jeremiah Sanders; Xiaoyu Tian; William P. Segars; John Boone; Ehsan Samei
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Paper Abstract

Currently, computed tomography (CT) dosimetry relies on surrogates for dose, such as CT dose index and size-specific dose estimates, rather than dose per se. Organ dose is considered as the gold standard for radiation dosimetry. However, organ dose estimation requires precise knowledge of organ locations. Regional imparted energy and dose can also be used to quantify radiation burden and are beneficial because they do not require knowledge of organ size or location. This work investigated an automated technique to retrospectively estimate the imparted energy from tube current-modulated (TCM) CT exams across 13 protocols. Monte Carlo simulations of various head and body TCM CT examinations across various tube potentials and TCM strengths were performed on 58 adult computational extended cardiac-torso phantoms to develop relationships between scanned mass and imparted energy normalized by dose length product. Results from the Monte Carlo simulations indicate that normalized imparted energy increases with increasing both scanned mass and tube potential, but it is relatively unaffected by the strength of the TCM. The automated algorithm was tested on 40 clinical datasets with a 98% success rate.

Paper Details

Date Published: 24 January 2017
PDF: 9 pages
J. Med. Imag. 4(1) 013503 doi: 10.1117/1.JMI.4.1.013503
Published in: Journal of Medical Imaging Volume 4, Issue 1
Show Author Affiliations
Jeremiah Sanders, Duke Univ. (United States)
Xiaoyu Tian, Duke Univ. (United States)
William P. Segars, Duke Univ. (United States)
John Boone, UC Davis Medical Ctr. (United States)
Ehsan Samei, Carl E. Ravin Advanced Imaging Labs. (United States)
Duke Univ. (United States)


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