Generalized linear least squares method for fast generation of myocardial blood flow parametric images with N-13 ammonia PET

被引：36

作者：

Chen, KW ^{[1
]}

Lawson, M

Reiman, E

Cooper, A

Feng, DG

Huang, SC

Bandy, D

Ho, D

Yun, LS

Palant, A

机构：

[1] Good Samaritan Reg Med Ctr, PET Ctr, Phoenix, AZ 85006 USA

[2] Univ Arizona, Dept Radiol, Tucson, AZ 85724 USA

[3] Univ Arizona, Dept Math, Tucson, AZ 85724 USA

[4] Univ Arizona, Dept Psychiat, Tucson, AZ 85724 USA

[5] Carl T Hayden Vet Adm Med Ctr, Div Cardiol, Phoenix, AZ 85012 USA

[6] Univ Sydney, Dept Comp Sci, Biomed & Multimedia Informat Technol Grp, Sydney, NSW 2006, Australia

[7] Univ Calif Los Angeles, Sch Med, Dept Pharmacol, Div Nucl Med & Biophys, Los Angeles, CA 90095 USA

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 1998年 / 17卷 / 02期

关键词：

GLLS; myocardial blood flow parametric image; PET-kinetic modeling; spillover-correction;

D O I：

10.1109/42.700735

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, we developed and tested strategies for estimating myocardial blood flow (MBF) and generating MBF parametric images using positron emission tomography (PET), N-13 ammonia, and the generalized linear least square (GLLS) method. GLLS was generalized to the general linear compartment model, modified for the correction of spillover, validated using simulated N-13 ammonia data, and examined using PET data from several patient studies. In comparison to the standard model-fitting procedure, the GLLS method provided similar accuracy and superior computational speed.

引用

页码：236 / 243

页数：8

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