A database of 40 patient‐based computational models for benchmarking organ dose estimates in CT

• Published in: Medical physics (Lancaster) Vol. 47; no. 12; pp. 6562 - 6566
• Main Authors: Samei, Ehsan, Ria, Francesco, Tian, Xiaoyu, Segars, Paul W.
• Format: Journal Article
• Language: English
• Published: United States 01.12.2020
• Subjects: Adult; benchmark; Benchmarking; Computer Simulation; CT organ dose; Female; Humans; Male; Monte Carlo; Monte Carlo Method; Phantoms, Imaging; Radiation Dosage; Tomography, X-Ray Computed; uncertainties; CT organ dose; database; Monte Carlo; uncertainties; benchmark

Purpose Patient radiation burden in computed tomography (CT) can best be characterized through risk estimates derived from organ doses. Organ doses can be estimated by Monte Carlo simulations of the CT procedures on computational phantoms assumed to emulate the patients. However, the results are sub...