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A statistical model for the determination of the optimal metric in factor analysis of medical image sequences (FAMIS)
52
Citations
8
References
1993
Year
EngineeringStatistical Shape AnalysisBiometricsMedical Image SequencesParallel AnalysisImage AnalysisPattern RecognitionImage RegistrationMultilinear Subspace LearningBiostatisticsFactor AnalysisOrthogonal DecompositionPublic HealthStatisticsComputational AnatomyRadiologyMedical ImagingVisual DiagnosisInverse ProblemsMedical Image ComputingBiomedical ImagingComputer-aided DiagnosisClinical ImageMedical Image Analysis
A statistical model is added to the conventional physical model underlying factor analysis of medical image sequences (FAMIS). It allows a derivation of the optimal metric to be used for the orthogonal decomposition involved in FAMIS. The oblique analysis of FAMIS is extended to take this optimal metric into account. The case of scintigraphic image sequences is used. We derive in this case that the optimal decomposition is obtained by correspondence analysis. A scintigraphic dynamic study illustrates the practical consequences of the use of the optimal metric in FAMIS.
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