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Titolo:
REGISTRATION OF DYNAMIC DOPAMINE D-2 RECEPTOR IMAGES USING PRINCIPAL COMPONENT ANALYSIS
Autore:
ACTON PD; PILOWSKY LS; SUCKLING J; BRAMMER MJ; ELL PJ;
Indirizzi:
UNIV COLL LONDON,SCH MED,MIDDLESEX HOSP,INST NUCL MED,MORTIMER ST LONDON W1N 8AA ENGLAND INST PSYCHIAT LONDON ENGLAND UNIV LONDON KINGS COLL,SCH MED & DENT,CLIN AGE RES UNIT LONDON ENGLAND
Titolo Testata:
European journal of nuclear medicine
fascicolo: 11, volume: 24, anno: 1997,
pagine: 1405 - 1412
SICI:
0340-6997(1997)24:11<1405:RODDDR>2.0.ZU;2-U
Fonte:
ISI
Lingua:
ENG
Soggetto:
EMISSION TOMOGRAPHY IMAGES; I-123 IBZM; AUTOMATED ALGORITHM; PET; SEQUENCES; SPECT; BRAIN;
Keywords:
IMAGE REGISTRATION; PRINCIPAL COMPONENT ANALYSIS; DOPAMINE D2 RECEPTOR IMAGES; IODINE 123-IODOBENZAMIDE; IODINE 123-EPIDEPRIDE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
26
Recensione:
Indirizzi per estratti:
Citazione:
P.D. Acton et al., "REGISTRATION OF DYNAMIC DOPAMINE D-2 RECEPTOR IMAGES USING PRINCIPAL COMPONENT ANALYSIS", European journal of nuclear medicine, 24(11), 1997, pp. 1405-1412

Abstract

This paper describes a novel technique for registering a dynamic sequence of single-photon emission tomography (SPET) dopamine D-2 receptorimages, using principal component analysis (PCA). Conventional methods for registering images, such as count difference and correlation coefficient algorithms, fail to take into account the dynamic nature of the data, resulting in large systematic errors when registering time-varying images. However, by using principal component analysis to extract the temporal structure of the image sequence, misregistration can bequantified by examining the distribution of eigenvalues. The registration procedures were tested using a computer-generated dynamic phantomderived from a high-resolution magnetic resonance image of a realistic brain phantom. Each method was also applied to clinical SPET images of dopamine D-2 receptors, using the ligands iodine-123 iodobenzamide and iodine-123 epidepride, to investigate the influence of misregistration on kinetic modelling parameters and the binding potential. The PCA technique gave highly significant (P<0.001) improvements in image registration, leading to alignment errors in x and y of about 25% of thealternative methods, with reductions in autocorrelations over time. It could also be applied to align image sequences which the other methods failed completely to register, particularly I-123-epidepride scans. The PCA method produced data of much greater quality for subsequent kinetic modelling, with an improvement of nearly 50% in the chi(2) of the fit to the compartmental model, and provided superior quality registration of particularly difficult dynamic sequences.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 22/01/20 alle ore 22:01:28