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Titolo: LINEAR DIMENSION REDUCTION OF SEQUENCES OF MEDICAL IMAGES .2. DIRECT SUM DECOMPOSITION
Autore: HERMANSEN F; BLOOMFIELD PM; ASHBURNER J; CAMICI PG; LAMMERTSMA AA;
 Indirizzi:
 HAMMERSMITH HOSP,ROYAL POSTGRAD MED SCH,MRC,CTR CLIN SCI,CYCLOTRON UNIT,PET,METHODOL GRP LONDON W12 0HS ENGLAND HAMMERSMITH HOSP,ROYAL POSTGRAD MED SCH,MRC,CTR CLIN SCI,CYCLOTRON UNIT,PET,CARDIOL GRP LONDON W12 0HS ENGLAND
 Titolo Testata:
 Physics in medicine and biology
fascicolo: 11,
volume: 40,
anno: 1995,
pagine: 1921  1941
 SICI:
 00319155(1995)40:11<1921:LDROSO>2.0.ZU;2X
 Fonte:
 ISI
 Lingua:
 ENG
 Soggetto:
 POSITRON EMISSION TOMOGRAPHY; MYOCARDIAL BLOODFLOW;
 Tipo documento:
 Article
 Natura:
 Periodico
 Settore Disciplinare:
 Science Citation Index Expanded
 Citazioni:
 17
 Recensione:
 Indirizzi per estratti:



 Citazione:
 F. Hermansen et al., "LINEAR DIMENSION REDUCTION OF SEQUENCES OF MEDICAL IMAGES .2. DIRECT SUM DECOMPOSITION", Physics in medicine and biology, 40(11), 1995, pp. 19211941
Abstract
Using unitary transformations together with a previously described statistical theory for optimal linear dimension reduction it is shown how pixels in a sequence of images can be decomposed into a sum of variates, covariates, and residual vectors, with all covariances equal to zero. It is demonstrated that this decomposition is optimal with respect to noise. In addition, it results in simplified and well conditionedequations for dimension reduction and elimination of covariates. The factor images are not degraded by subdivision of the time intervals. In contrast to traditional factor analysis, the factors can be measureddirectly or calculated based on physiological models. This procedure not only solves the rotation problem associated with factor analysis, but also eliminates the need for calculation of the principal components altogether. Examples are given of factor images of the heart, generated from a dynamic study using oxygen15labelled water and positron emission tomography. As a special application of the method, it is shown that the factor images may reveal any contamination of the blood curve derived from the original dynamic images with myocardial activity.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 24/09/20 alle ore 21:02:14