A flexible image segmentation prior to parametric estimation

✍ Scribed by M'hamed Bentourkia

• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 207 KB
• Volume: 25
• Category: Article
• ISSN: 0895-6111
• DOI: 10.1016/s0895-6111(01)00016-7

✦ Synopsis

A ¯exible method based on spatial and temporal pixel variance to compute parametric images in positron emission tomography (PET) is reported. For [ 18 F]¯uorodeoxyglucose and [ 15 O]water brain studies, images were segmented based on coef®cients of variation and correlation coef®cients of neighboring pixels, and kinetic parameters were estimated by dynamic (DYN) and autoradiographic (ARG) ®tting. For comparison, regional glucose metabolism (rCMRGlc) and blood ¯ow (rCBF) in both DYN and ARG were estimated from segmented and usual images. The maximal relative error was found to be 4, 10 and 17% for ARG and DYN rCMRGlc and DYN rCBF, respectively.