Paper
14 September 1993 Optimal metric for factor analysis of medical image sequences
Habib Benali, Frederique Frouin, Irene Buvat, Florent Aubry, F. Coillet, Jean Pierre Bazin, Robert Di Paola
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Abstract
A new statistical approach for Factor Analysis of Medical Image Sequences (FAMIS) is proposed. It leads to the optimal metric to be used in the orthogonal and oblique analysis steps of FAMIS. It is shown that this metric depends on the statistical model related to the image acquisition process and we derived its expression for nuclear medicine and magnetic resonance imaging. A scintigraphic dynamic study illustrates the method. We discuss the normalization induced by this optimal metric in comparison with other normalizations.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Habib Benali, Frederique Frouin, Irene Buvat, Florent Aubry, F. Coillet, Jean Pierre Bazin, and Robert Di Paola "Optimal metric for factor analysis of medical image sequences", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); https://doi.org/10.1117/12.154526
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Cited by 1 scholarly publication.
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KEYWORDS
Statistical analysis

Principal component analysis

Image processing

Medical imaging

Data modeling

Magnetic resonance imaging

Factor analysis

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