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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References
Barber DC (1980). The use of principal components in the quantitative analysis of gamma camera dynamic studies. Phys. Med.Biol. 25:283–292.
Bazin JP, Di Paola R, Gibaud B, Rougier P and Tubiana M (1980). Factor analysis of dynamic scintigraphic data as a modelling method. An application to the detection of metastases. In: Information Processing in Medical Imaging. Di Paola R and Kahn E (eds), INSERM, Paris, pp. 345–366.
Benzécri JP (1973). L'analyse des correspondances. Dunod, Paris.
Britton KE, Nimmon CC, Whitfield HN, Hendry WF and Wickham JEA (1979). Obstructive nephropathy; successful evaluation with radionuclides. Lancet i:905–907.
Diffey BL, Hall FM and Corfield JR (1976). J. Nucl. Med. 17:352–355.
Di Paola R, Bazin JP, Aubry F, Aurengo A, Cavailloles F, Herry JY and Kahn E (1982). Handling of dynamic sequences in nuclear medicine. IEEE Trans. Nucl. Sci. NS-29:1310–1321.
Goris ML, Daspit SG, McLaughlin P and Kriss JP (1976). Interpolated background subtraction. J. Nucl. Med. 17:744–747.
Griffin DW, Donovan IA, Harding LK, White CM and Chackett KF (1982). Application of gravitational clustering analysis to liquid gastric emptying. Phys. Med. Biol. 27:1263–1267.
Hannequin P, Liehn JC and Valeyre J (1990). Cluster analysis for automatic image segmentation in dynamic scintigraphies. Nucl. Med. Commun. 11:383–393.
Houston AS (1984). The effect of apex-finding errors on factor images obtained from factor analysis and oblique transformation. Phys. Med. Biol. 29:1109–1116.
Houston AS (1986). The use of set theory and cluster analysis to investigate the constraint problem in factor analysis in dynamic structures (FADS). In: Information Processing in Medical Imaging. Bacharach SL (ed), Martinus Nijhoff, Dordrecht, pp. 177–192.
Houston AS (1988). The use of cluster analysis and constrained optimisation techniques in factor analysis of dynamic structures. In: Mathematics and Computer Science in Medical Imaging. Viergever MA and Todd-Pokropek A (eds), NATO ASI Series F:39:491–503.
Jambu M (1978). Classification automatique pour l'analyse des données. 1: Méthodes et algorithmes. Dunod, Paris.
Murase K, Mochizuki T and Hamamoto K (1988). Quantitative aspect of two-factor analysis applied to radionuclide gated cardiac studies. Eur. J. Nucl. Med. 14:190–195.
Nijran KS and Barber DC (1985). Towards automatic analysis of dynamic radionuclide studies using principal-components factor analysis. Phys. Med. Biol. 30:1315–1325.
Nijran KS and Barber DC (1986). Factor analysis of dynamic function studies using a priori physiological information. Phys. Med. Biol. 31:1107–1117.
Nijran KS and Barber DC (1988). The importance of constraints in factor analysis of dynamic studies. In: Information Processing in Medical Imaging, de Graaf CN and Viergever MA (eds), Plenum, New York, pp. 521–529.
Philippe L, Mena I, Darcourt J and French WJ (1988). Evaluation of valvular regurgitation by factor analysis of first-pass angiography. J. Nucl. Med. 29:159–167.
Sámal M and Kárný M (1989). Quantitative aspects of factor analysis in nuclear cardiology. Eur. J. Nucl. Med. 15:165–166.
Sámal M, Sürová H, Kárný M, Maříková E, Pěnička P and Dienstbier Z (1988). The reality and meaning of physiological factors. In: Information Processing in Medical Imaging. de Graaf CN and Viergever MA (eds), Plenum, New York, pp. 499–519.
Sampson WFD, Hamilton CI and Jenkins L (1985). Estimation of GFR and functioning renal parenchyma from 99mTc-DTPA(Sn) renogram. Eur. J. Nucl. Med. 11:A48 (abstract only).
Schmidlin P (1979). Quantitative evaluation and imaging of functions using pattern recognition methods. Phys. Med. Biol. 24:385–395.
Villanueva-Meyer J, Philippe L, Cordero S, Marcus CS and Mena I (1986). Use of factor analysis in the evaluation of left to right cardiac shunts. J. Nucl. Med. 27:1442–1448.
Wright WE (1977). Gravitational clustering. Pattern Recognition 9:151–166.
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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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