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Titolo:
A fast nonlinear method for parametric imaging of myocardial perfusion by dynamic N-13-ammonia PET
Autore:
Golish, SR; Hove, JD; Schelbert, HR; Gambhir, SS;
Indirizzi:
Univ Calif Los Angeles, Crump Inst Mol Imaging, Sch Med, Los Angeles, CA 90095 USA Univ Calif Los Angeles Los Angeles CA USA 90095 Los Angeles, CA 90095 USA Univ Calif Los Angeles, Dept Comp Sci, Los Angeles, CA 90095 USA Univ Calif Los Angeles Los Angeles CA USA 90095 Los Angeles, CA 90095 USA Univ Calif Los Angeles, Dept Mol & Med Pharmacol, Los Angeles, CA 90095 USA Univ Calif Los Angeles Los Angeles CA USA 90095 Los Angeles, CA 90095 USA Univ Calif Los Angeles, Dept Biomath, Los Angeles, CA 90095 USA Univ CalifLos Angeles Los Angeles CA USA 90095 Los Angeles, CA 90095 USA Rigshosp, DK-2100 Copenhagen, Denmark Rigshosp Copenhagen Denmark DK-2100 igshosp, DK-2100 Copenhagen, Denmark
Titolo Testata:
JOURNAL OF NUCLEAR MEDICINE
fascicolo: 6, volume: 42, anno: 2001,
pagine: 924 - 931
SICI:
0161-5505(200106)42:6<924:AFNMFP>2.0.ZU;2-S
Fonte:
ISI
Lingua:
ENG
Soggetto:
POSITRON EMISSION TOMOGRAPHY; N-13 AMMONIA; QUANTIFICATION; NETWORKS; IMAGES; NITROGEN-13-AMMONIA; APPROXIMATION; ALGORITHMS; CONSTANTS; MODELS;
Keywords:
parametric imaging; N-13-ammonia PET; sigmoidal networks; artificial neural networks; function estimation; nonlinear regression;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
40
Recensione:
Indirizzi per estratti:
Indirizzo: Gambhir, SS Univ Calif Los Angeles, Crump Inst Mol Imaging, Sch Med, B3-399 BRI,700 Westwood Plaza, Los Angeles, CA 90095 USA Univ Calif Los Angeles B3-399 BRI,700 Westwood Plaza Los Angeles CA USA 90095
Citazione:
S.R. Golish et al., "A fast nonlinear method for parametric imaging of myocardial perfusion by dynamic N-13-ammonia PET", J NUCL MED, 42(6), 2001, pp. 924-931

Abstract

A parametric image of myocardial perfusion (mL/min/g) is a quantitative image generated by fitting a tracer kinetic model to dynamic(13)N-ammmonia PET data on a pixel-by-pixel basis. There are several methods for such parameter estimation problems, including weighted nonlinear regression (WNLR) anda fast linearizing method known as Patlak analysis. Previous work showed that sigmoidal networks can be used for parameter estimation of mono- and biexponential models. The method used in this study is a hybrid of WNLR and sigmoidal networks called nonlinear regression estimation (NRE). The purposeof the study is to compare NRE with WNLR and Patlak analysis for parametric imaging of perfusion in the canine heart by N-13-ammonia PET. Methods: A simulation study measured the statistical performance of NRE, WNLR, and Patlak analysis for a probabilistic model of time-activity curves. Four caninesubjects were injected with 740 MBq N-13-ammonia and scanned dynamically. Images were reconstructed with filtered backprojection and resliced into short-axis cuts. Parametric images of a single midventricular plane per subject were generated by NRE, WNLR, and Patlak analysis. Small regions of interest (ROIs) were drawn on each parametric image (8 ROls per subject for a total of 32). Results: For the simulation study, the median absolute value ofthe relative error for a perfusion value of 1.0 mL/min/g was 16.6% for NRE, 17.9% for WNLR, 19.5% for Patlak analysis, and 14.5% for an optimal WNLR method (computable by simulation only). All methods are unbiased conditioned on a wide range of perfusion values. For the canine studies, the least squares line fits comparing NRE (y) and Patlak analysis (z) with WNLR (x) forall 32 ROls were y = 1.02x - 0.028 and z = 0.90x + 0.019, respectively. Both NRE and Patlak analysis generate 128 x 128 parametric images in seconds. Conclusion: The statistical performance of NRE is competitive with WNLR and superior to Patlak analysis for parametric imaging of myocardial perfusion. NRE is a fast nonlinear alternative to Patlak analysis and other fast linearizing methods for parametric imaging. NRE should be applicable to many other tracers and tracer kinetic models.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 19/01/20 alle ore 20:05:02