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Titolo:
Use of wavelet transforms in analysis of time-activity data from cardiac PET
Autore:
Lin, JW; Laine, AF; Akinboboye, O; Bergmann, SR;
Indirizzi:
Columbia Univ Coll Phys & Surg, Dept Med, Div Cardiol, New York, NY 10032 USA Columbia Univ Coll Phys & Surg New York NY USA 10032 w York, NY 10032 USA Columbia Univ Coll Phys & Surg, Dept Radiol, New York, NY 10032 USA Columbia Univ Coll Phys & Surg New York NY USA 10032 w York, NY 10032 USA Columbia Univ, Dept Biomed Engn, New York, NY USA Columbia Univ New York NY USA a Univ, Dept Biomed Engn, New York, NY USA
Titolo Testata:
JOURNAL OF NUCLEAR MEDICINE
fascicolo: 2, volume: 42, anno: 2001,
pagine: 194 - 200
SICI:
0161-5505(200102)42:2<194:UOWTIA>2.0.ZU;2-X
Fonte:
ISI
Lingua:
ENG
Soggetto:
MYOCARDIAL BLOOD-FLOW; POSITRON EMISSION TOMOGRAPHY; N-13 AMMONIA; DYNAMIC PET; QUANTIFICATION; PERFUSION; MODEL; SHRINKAGE; RB-82;
Keywords:
quantitative PET; myocardial blood flow; noise reduction; data analysis;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
21
Recensione:
Indirizzi per estratti:
Indirizzo: Bergmann, SR Columbia Univ Coll Phys & Surg, Dept Med, Div Cardiol, PH 10-405,630 W 168th St, New York, NY 10032 USA Columbia Univ Coll Phys & Surg PH 10-405,630 W 168th St New York NY USA 10032
Citazione:
J.W. Lin et al., "Use of wavelet transforms in analysis of time-activity data from cardiac PET", J NUCL MED, 42(2), 2001, pp. 194-200

Abstract

Because of its intrinsic quantitative properties, PET permits measurement of myocardial perfusion and metabolism in absolute terms (i.e., mL/g/min), However, quantification has been limited by errors produced in image acquisition, selection of regions of interest, and data analysis. The goal of this study was to evaluate a newly developed, novel, wavelet-based noise-reduction approach that can objectively extract biologic signals hidden within dynamic PET data. Methods: Quantification of myocardial perfusion using dynamic PET imaging with Rb-82, (H2O)-O-15, and (NH3)-N-13 was selected to evaluate the effects of the wavelet-based noise-reduction protocol. Dynamic PETdata were fitted to appropriate mathematic models before and after wavelet-based noise reduction to get flow estimates. Time-activity curves, precision, accuracy, and differentiating capacity derived from the wavelet protocol were compared with those obtained from unmodified data processing, A total of 84 human studies was analyzed, including 43 at rest (18 Rb-82 scans, 18 (H2O)-O-15 scans, and 7 (NH3)-N-13 scans) and 41 after coronary hyperemiawith dipyridamole (17 Rb-82 scans, 17 (H2O)-O-15 scans, and 7 (NH3)-N-13 scans). Results: For every tracer tested under all conditions, the wavelet method improved the shape of blood and tissue time-activity curves, increased estimate-to-error ratios, and maintained fidelity of flow in regions as small as 0.85 cm(3). It also improved the accuracy of flow estimates derivedfrom Rb-82 to the level of that achieved with H(2)(15)0, which was not affected markedly by the wavelet process. In studies of patients with coronarydisease, regional heterogeneity of myocardial perfusion was preserved and flow estimates in infarcted regions were differentiated more easily from normal regions. Conclusion: The wavelet-based noise-reduction method effectively and objectively extracted tracer time-activity curves from data with low signal-to-noise ratios and improved the accuracy and precision of measurements with all tracer techniques studied. The approach should be generalizable to other image modalities such as functional MRI and CT and, therefore,improve the ability to quantify dynamic physiologic processes.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 22/01/20 alle ore 06:46:09