title: Automated generation of curved planar reformations from volume data: method and evaluation.
abstract: The authors developed and evaluated a method to automatically create interactive vascular curved planar reformations with computed tomographic (CT) angiographic data. The method decreased user interaction time by 86%, from 15 to 2 minutes. Expert reviewers were asked to indicate their confidence in differentiating automatically created images from clinical-quality manually produced images. The area under the receiver operating characteristic curve was 0.45 (95% CI: 0.39, 0.51), and a test of equivalency indicated that reviewers could not distinguish between images. They also graded image quality as equivalent to that with manual methods and found fewer artifacts on automatically created images. Automatic methods rapidly produce curved planar reformations of equivalent quality with reduced time and effort.
authors.affiliation: Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, S-072B, Stanford, CA 94305-5105, USA.
authors.forename: Raghav
authors.initials: R
authors.lastname: Raman
authors.forename: Sandy
authors.initials: S
authors.lastname: Napel
authors.forename: Christopher F
authors.initials: CF
authors.lastname: Beaulieu
authors.forename: Eric S
authors.initials: ES
authors.lastname: Bain
authors.forename: R Brooke
authors.initials: RB
authors.lastname: Jeffrey
authors.forename: Geoffrey D
authors.initials: GD
authors.lastname: Rubin
mesh_terms: D006801:Humans; D011856:Radiographic Image Enhancement / Q000379:methods*; D013997:Time Factors; D014057:Tomography, X-Ray Computed / Q000379:methods*