A flexible image segmentation prior to parametric estimation

被引：6

作者：

Bentourkia, M ^{[1
]}

机构：

[1] Univ Sherbrooke, Dept Med Nucl & Radiobiol, Sherbrooke, PQ J1H 5N4, Canada

来源：

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2001年 / 25卷 / 06期

关键词：

PET; FDG; cerebral blood flow; parametric images; segmentation; clusters;

D O I：

10.1016/S0895-6111(01)00016-7

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

A flexible method based on spatial and temporal pixel variance to compute parametric images in positron emission tomography (PET) is reported. For [F-18]fluorodeoxyglucose and [O-15]water brain studies. images were segmented based on coefficients of variation and correlation coefficients of neighboring pixels, and kinetic parameters were estimated by dynamic (DYN) and autoradiographic (ARG) fitting. For comparison, regional glucose metabolism (rCMRGlc) and blood flow (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. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：501 / 506

页数：6

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