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Titolo:
Automated three-dimensional quantification of myocardial perfusion and brain SPECT
Autore:
Slomka, PJ; Radau, P; Hurwitz, GA; Dey, D;
Indirizzi:
Univ Western Ontario, London Hlth Sci Ctr, Dept Diagnost Radiol & Nucl Med, London, ON N6A 4G5, Canada Univ Western Ontario London ON Canada N6A 4G5 London, ON N6A 4G5, Canada
Titolo Testata:
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
fascicolo: 2, volume: 25, anno: 2001,
pagine: 153 - 164
SICI:
0895-6111(200103/04)25:2<153:ATQOMP>2.0.ZU;2-2
Fonte:
ISI
Lingua:
ENG
Soggetto:
IMAGE REGISTRATION; ALIGNMENT;
Keywords:
myocardial perfusion; Alzheimer's disease; nuclear medicine; SPECT; image registration; image quantification; automated analysis; computer aided diagnosis;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
18
Recensione:
Indirizzi per estratti:
Indirizzo: Slomka, PJ Univ Western Ontario, London Hlth Sci Ctr, Dept Diagnost Radiol& Nucl Med, 375 S St, London, ON N6A 4G5, Canada Univ Western Ontario 375 S St London ON Canada N6A 4G5 , Canada
Citazione:
P.J. Slomka et al., "Automated three-dimensional quantification of myocardial perfusion and brain SPECT", COMP MED IM, 25(2), 2001, pp. 153-164

Abstract

To allow automated and objective reading of nuclear medicine tomography, we have developed a set of tools for clinical analysis of myocardial perfusion tomography (PERFIT) and Brain SPECT/PET (BRASS). We exploit algorithms for image registration and use three-dimensional (3D) "normal models' for individual patient comparisons to composite datasets on a "voxel-by-voxel basis" in order to automatically determine the statistically significant abnormalities. A multistage, 3D iterative inter-subject registration of patient images to normal templates is applied, including automated masking of the external activity before final fit. In separate projects, the software has been applied to the analysis of myocardial perfusion SPECT, as well as brainSPECT and PET data. Automatic reading was consistent with visual analysis;it can be applied to the whole spectrum of clinical images, and aid physicians in the daily interpretation of tomographic nuclear medicine images. (C) 2001 Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 23/09/20 alle ore 16:05:20