Physics of Medical Imaging

Automated, patient-specific estimation of regional imparted energy and dose from tube current modulated computed tomography exams across 13 protocols

[+] Author Affiliations
Jeremiah Sanders

Duke University, Medical Physics Graduate Program, 2424 Erwin Road, Suite 101, Durham, North Carolina 27705, United States

Duke University, Clinical Imaging Physics Group, 2424 Erwin Road, Suite 302, Durham, North Carolina 27705, United States

Duke University, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Road, Suite 302, Durham, North Carolina 27705, United States

Xiaoyu Tian

Duke University, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Road, Suite 302, Durham, North Carolina 27705, United States

Duke University, Department of Biomedical Engineering, 101 Science Drive, Campus Box 90281, Durham, North Carolina 27708, United States

William Paul Segars

Duke University, Medical Physics Graduate Program, 2424 Erwin Road, Suite 101, Durham, North Carolina 27705, United States

Duke University, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Road, Suite 302, Durham, North Carolina 27705, United States

Duke University, Department of Radiology, 2301 Erwin Road, Box 3808, Durham, North Carolina 27710, United States

John Boone

University of California Davis, Departments of Radiology and Biomedical Engineering, Engineering, 451 Health Sciences Drive, GBSF Room 2303, Davis, California 95616, United States

Ehsan Samei

Duke University, Medical Physics Graduate Program, 2424 Erwin Road, Suite 101, Durham, North Carolina 27705, United States

Duke University, Clinical Imaging Physics Group, 2424 Erwin Road, Suite 302, Durham, North Carolina 27705, United States

Duke University, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Road, Suite 302, Durham, North Carolina 27705, United States

Duke University, Department of Biomedical Engineering, 101 Science Drive, Campus Box 90281, Durham, North Carolina 27708, United States

Duke University, Department of Radiology, 2301 Erwin Road, Box 3808, Durham, North Carolina 27710, United States

Duke University, Departments of Physics and Electrical and Computer Engineering, 2424 Erwin Road, Suite 302, Durham, North Carolina 27705, United States

J. Med. Imag. 4(1), 013503 (Jan 24, 2017). doi:10.1117/1.JMI.4.1.013503
History: Received April 27, 2016; Accepted December 29, 2016
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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.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Jeremiah Sanders ; Xiaoyu Tian ; William Paul Segars ; John Boone and Ehsan Samei
"Automated, patient-specific estimation of regional imparted energy and dose from tube current modulated computed tomography exams across 13 protocols", J. Med. Imag. 4(1), 013503 (Jan 24, 2017). ; http://dx.doi.org/10.1117/1.JMI.4.1.013503


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