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Titolo:
FOUNDATIONS OF FACTOR-ANALYSIS OF MEDICAL IMAGE SEQUENCES - A UNIFIEDAPPROACH AND SOME PRACTICAL IMPLICATIONS
Autore:
BENALI H; BUVAT I; FROUIN F; BAZIN JP; DIPAOLA R;
Indirizzi:
INST GUSTAVE ROUSSY,INSERM,U66 F-94805 VILLEJUIF FRANCE
Titolo Testata:
Image and vision computing
fascicolo: 6, volume: 12, anno: 1994,
pagine: 375 - 385
SICI:
0262-8856(1994)12:6<375:FOFOMI>2.0.ZU;2-P
Fonte:
ISI
Lingua:
ENG
Soggetto:
DYNAMIC RADIONUCLIDE; PRINCIPAL-COMPONENTS; FAMIS;
Keywords:
FACTOR ANALYSIS OF MEDICAL IMAGE SEQUENCES; FIXED EFFECT MODEL; TARGET APEX SEEKING;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
26
Recensione:
Indirizzi per estratti:
Citazione:
H. Benali et al., "FOUNDATIONS OF FACTOR-ANALYSIS OF MEDICAL IMAGE SEQUENCES - A UNIFIEDAPPROACH AND SOME PRACTICAL IMPLICATIONS", Image and vision computing, 12(6), 1994, pp. 375-385

Abstract

Factor Analysis of Medical Image Sequences (FAMIS) is presently conducted either in the function space or in the image space. A unified approach jointly using these two spaces is presented. First, the solutionof a statistical model for scintigraphic image sequences leads to theuse of correspondence analysis which is the optimal orthogonal decomposition of this data. Then, two symmetrical hypotheses concerning either the underlying fundamental functions or the underlying fundamental spatial distributions are derived. These hypotheses are merged in an original method to solve FAMIS physical model. Using this unified approach, a priori knowledge about functions and images can be jointly taken into account to improve the estimation of the underlying structures. Some practical applications of the method are illustrated on simulated data.

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Documento generato il 01/10/20 alle ore 16:17:11