Manual and Fully Automated Segmentation to Determine the Ferromagnetic Status of Bullets Using Computed Tomography Dual-Energy Index: A Phantom Study. Issue 5 (September 2019)

• Record Type: Journal Article
• Authors: Ognard, Julien; Dissaux, Brieg; Diallo, Idris; Attar, Lakdar; Saccardy, Claire; Ben Salem, Douraied
• Is Part Of: Journal of computer assisted tomography. Volume 43:Issue 5(2019)
• Publication Date: 2019-09
• Subjects: DEI -- DECT -- bullets -- automatic segmentation; Tomography -- Periodicals; Tomography -- Periodicals; Tomography; Periodicals; 616.0757
• DOI: 10.1097/RCT.0000000000000899
• Languages: English
• ISSNs: 0363-8715

Abstract

Abstract : Objective: The aim was to determine if dual-energy computed tomography (DECT) can discriminate ferromagnetic bullets from nonferromagnetic ones. Methods: The ferromagnetic properties of 29 bullets were determined. All bullets underwent a DECT evaluation, and a manual measurement of the dual-energy index was performed by 2 radiologists, followed by a fully automatic measurement, in 3 different positions in a phantom (air, water, and bone). Results: Twenty-one bullets were found to be nonferromagnetic. There were significant differences between the mean of the dual-energy index measured in the core of ferromagnetic projectiles and those of nonferromagnetic ones in the lung position of the phantom ( P = 0.007). Specificity was 86.36%, and negative predictive value was 90.48%. Among the 29 bullets, 24 were correctly classified. Conclusions: Our study demonstrates that DECT can assess the ferromagnetic status of bullets and their magnetic resonance imaging compatibility using an extended computed tomography scale in an ex vivo phantom model. Abstract : Supplemental digital content is available in the text.