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

Author

Chen, Kewei ; Lawson, Michael ; Reiman, Eric ; Cooper, Alan ; Feng, Dagan ; Huang, Sung Cheng ; Bandy, Daniel ; Ho, Dino ; Yun, Lang Sheng ; Palant, Anita

Author_Institution

PET Center, Good Samaritan Regional Med. Center, Phoenix, AZ, USA

Volume

17

Issue

2

fYear

1998

fDate

4/1/1998 12:00:00 AM

Firstpage

236

Lastpage

243

Abstract

In this paper, the authors 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.

Keywords

blood flow measurement; cardiology; medical image processing; muscle; positron emission tomography; N-13 ammonia PET; NH/sub 3/; computational speed; general linear compartment model; generalized linear least squares method; medical diagnostic imaging; myocardial blood flow parametric images generation; nuclear medicine; spillover correction; standard model-fitting procedure; Biomedical imaging; Biomedical measurements; Blood flow; Image generation; Kinetic theory; Least squares approximation; Least squares methods; Medical diagnostic imaging; Myocardium; Positron emission tomography; Aged; Algorithms; Ammonia; Computer Simulation; Coronary Circulation; Coronary Disease; Heart; Humans; Image Enhancement; Internal Mammary-Coronary Artery Anastomosis; Least-Squares Analysis; Linear Models; Male; Models, Cardiovascular; Nitrogen Radioisotopes; Radiopharmaceuticals; Reproducibility of Results; Time Factors; Tomography, Emission-Computed;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.700735

Filename

700735