Program Information
A Smartphone Application for Organ Dose Estimation in CT, Tomosynthesis, and Radiography
J Hoye1*, Y Zhang2 , W Fu3 , P Sahbaee4 , A Kapadia5 , P Segars6 , E Samei7 , (1) ,,,(2) Duke University, Durham, North Carolina, (3) Duke University, Durham, NC, (4) Siemens Healthineers, Cary, NC, (5) Duke University Medical Center, Durham, NC, (6) Duke Univ, Durham, NC, (7) Duke University Medical Center, Durham, NC
Presentations
SU-K-201-3 (Sunday, July 30, 2017) 4:00 PM - 6:00 PM Room: 201
Purpose: Currently, in assessing radiation dose for the diversity of x-ray examinations, researchers and clinicians rely on differing estimated organ dose values derived from different techniques and reference phantoms. The purpose of this study was to calculate and compile validated organ dose values from a large (100+) library of anatomically variable computational adult and pediatric patient models into a single smartphone application capable of estimating the radiation burden of a given individual for CT, radiography, and tomosynthesis.
Methods: The study utilized a library of calculated organ doses each normalized by modality-specific organ dose indices used clinically (e.g., CTDIvol and exposure in air). A validated Monte-Carlo simulation (PENELOPE, 2006) of commercial CT, tomosynthesis, and radiography systems was used to estimate the organ doses from a series of adult and pediatric computational phantoms (XCAT phantoms, ages: 0-78 years). The results, including 13 body and 10 extremity CT protocols with and without tube current modulation and 20 radiography and tomosynthesis protocols, were compiled into an organ dose calculator implemented as a smartphone application.
Results: The organ dose calculator was created with options for calculating CT, tomosynthesis, and radiography organ dose given a user-defined exam and patient characteristics. Organ doses for each modality are reported as size-specific maximum and minimum values based on the estimated uncertainty from models closely matching the patient. The effective dose for the exam (per ICRP 103 publication) and SSDE (per AAPM TG 204 publication) are also reported in the application.
Conclusion: This work analyzes and interprets Monte-Carlo based organ dose estimation across a wide population of patients and x-ray based imaging protocols and packages the results into a usable tool. This work creates a single application for organ dose estimation across a wide population of patients and examinations for use by the scientific and clinical community.
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