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A quantitative comparison of current methods of factor analysis of dynamic structures (FADS) in renal dynamic studies

  • 7. Factor Analysis
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Information Processing in Medical Imaging (IPMI 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 511))

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Abstract

Five methods of performing factor analysis of dynamic structures are compared in this paper. These are apex-seeking; the intersection method; cluster analysis; spatial constraints; and simple structure. Variants of these have been implemented in a workstation environment. The methods were tested on sequential images of 40 individual kidneys obtained from 20 radionuclide dynamic studies. For each kidney, estimates of whole kidney transit time, parenchymal transit time, and glomerular filtration rate had been made using conventional region-of-interest techniques. Each method produced three curves (representing three structures) which, in almost every case, corresponded to parenchyma, collecting system, and blood background. These curves were normalised to represent the total counts per frame contributed from each structure, and whole kidney transit time, parenchymal transit time, and glomerular filtration rate estimated for each kidney. For whole kidney transit times, values obtained from factor methods, with the exception of apex-seeking, were in good agreement with those obtained conventionally. For parenchymal transit times, values obtained from factor analysis were higher than, and poorly correlated with, values obtained conventionally. For glomerular filtration rate, values obtained from factor analysis were generally higher than, and moderately correlated with, values obtained conventionally.

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Alan C. F. Colchester David J. Hawkes

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© 1991 Springer-Verlag Berlin Heidelberg

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Houston, A.S., Nijran, K.S. (1991). A quantitative comparison of current methods of factor analysis of dynamic structures (FADS) in renal dynamic studies. In: Colchester, A.C.F., Hawkes, D.J. (eds) Information Processing in Medical Imaging. IPMI 1991. Lecture Notes in Computer Science, vol 511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0033767

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  • DOI: https://doi.org/10.1007/BFb0033767

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  • Print ISBN: 978-3-540-54246-9

  • Online ISBN: 978-3-540-47521-7

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