title: Synthetic positron emission tomography-computed tomography images for use in perceptual studies.
abstract: To better understand fundamental issues, perception studies of the fusion display would best be performed with a panel of lesions of variable location, size, intensity, and background. There are compelling reasons to use synthetic images that contain artificial lesions for perception research. A consideration of how to obtain this panel of lesions is the nucleus of the present review. This article is a conjoint effort of 3 groups that have joined together to review results from work that they and others have performed. The techniques we review include (1) substitution of lesions into a preexisting image matrix (either using actual prior patient-derived lesions or mathematically modeled artificial lesions), (2) addition of images (either in the attenuation-corrected image space or at an earlier stage before image reconstruction), and (3) simulation of the entire patient image. A judicious combination of the techniques discussed in this review may represent the most efficient pathway of simulating statistically varied but realistic appearing lesions.
authors: Department of Nuclear Medicine, New Jersey Medical School, UMDNJ, Newark, NJ, USA.
authors: Brian
authors: B
authors: D'Alessandro
authors: Mark
authors: M
authors: Madsen
authors: Ehsan
authors: E
authors: Samei
authors: Xiang
authors: X
authors: Li
authors: Jin
authors: J
authors: Wooi-Tan
authors: Kevin S
authors: KS
authors: Berbaum
authors: Kevin
authors: K
authors: Schartz
authors: Robert
authors: R
authors: Caldwell
authors: Lionel S
authors: LS
authors: Zuckier
mesh_terms: D000465:Algorithms; D016477:Artifacts; D003626:Data Display; D003951:Diagnostic Errors / Q000517:prevention & control*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D010465:Perception; D049268:Positron-Emission Tomography / Q000379:methods*; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*