Abstract
Algorithm-based parametric imaging of myocardial blood flow (MBF), as measured by H2 15O PET, has been the goal of many research efforts. A method for generating parametric images of regional MBF by factor and cluster analysis on H2 15O dynamic myocardial PET was validated by its comparison with gold-standard MBF values determined invasively using radiolabelled microspheres. Right and left ventricular blood pool activities and their factor images were obtained by the application of factor analysis to dynamic frames. By subtraction of the factor images multiplied by their corresponding values on the factors from the original dynamic images for each frame, pure tissue dynamic images were obtained, from which arterial blood activities were excluded. Cluster analysis that averaged pixels having time-activity curves with the same shape was applied to pure tissue images to generate parametric MBF images. The usefulness of this method for quantifying regional MBF was evaluated using canine experiment data. H2 15O PET scans and microsphere studies were performed on seven dogs at rest and after pharmacological stress. The image qualities and the contrast of parametric images obtained using the proposed method were significantly improved over either the tissue factor images or the parametric images obtained using a conventional method. Regional MBFs obtained using the proposed method correlated well with those obtained by the region of interest method (r=0.94) and by the microsphere technique (r=0.90). A non-invasive method is presented for generating parametric images of MBF from H2 15O PET, using factor and cluster analysis.
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Ahn, J. Y., Lee, D. S., Lee, J. S., Kim, S. K., Cheon, G. J., Yeo, J. S., Shin, S. A., Chung, J. K., andLee, M. C. (2001): ‘Quantification of regional myocardial blood flow using dynamic H2 15O PET and factor analysis’.J. Nucl. Med.,42, pp. 782–787
Araujo, L. I., Lammertsma, A. A., Rhodes, C. G., McFalls, E. O., Iida, H., Rechavia, E., Galassi, A., De Silva, R., Jones, T., andMaseri, A. (1991): ‘Noninvasive quantification of regional myocardial blood flow in coronary artery disease with oxygen-15-labeled carbon dioxide inhalation and positron emission tomography’,Circulation,83, pp. 875–885
Barber, D. C. (1980): ‘The use of principal components in the quantitative analysis of gamma camera dynamic studies’,Phys. Med. Biol.,25, pp. 283–292
Bergmann, S. R., Fox, K. A., Rand, A. L., McElvany, K. D., Welch, M. J., Markham, J., andSobel, B. E. (1984): ‘Quantification of regional myocardial blood flow in vivo with H2 15O’,Circulation,70, pp. 724–733
Boarini, D. J., Kassell, N. F., Olin, J. J., andSprowell, J. A. (1982): ‘The effect of intravenous dipyridamole on the cerebral and systemic circulations of the dog’,Stroke,13, pp. 842–847
Bol, A., Melin, J. A., Vanoverschelde, J. L., Baudhuin, T., Vogelaers, D., De Pauw, M., Michel, C., Luxen, A., Labar, D., Cogneau, M. et al. (1993): ‘Direct comparison of [13N]ammonia and [15O]water estimates of perfusion with quantification of regional myocardial blood flow by microspheres’,Circulation,87, pp. 512–525
Chen, K., Lawson, M., Reiman, E., Cooper, A., Feng, D., Huang, S. C., Bandy, D., Ho, D., Yun, L. S., andPalant, A. (1998): ‘Generalized linear least squares method for fast generation of myocardial blood flow parametric images with N-13 ammonia PET’,IEEE Trans. Med. Imaging,17, pp. 236–243
Choi, Y., Huang, S. C., Hawkins, R. A., Kuhle, W. G., Dahlbom, M., Hoh, C. K., Czernin, J., Phelps, M. E., andSchelbert, H. R. (1993): ‘A simplified method for quantification of myocardial blood flow using nitrogen-13-ammonia and dynamic PET’,J. Nucl. Med.,34, pp. 488–497
Di Paola, R., Bazin, J. P., Aubry, F., Aurengo, A., Cavailloles, F., Herry, J. Y., andKahn, E. (1982): ‘Handling of dynamic sequences in nuclear medicine’,IEEE Trans. Nucl. Sci.,29, pp. 1310–1321
Feng, D., Wang, Z., andHuang, S.-C. (1993): ‘A study on statistically reliable and computationally efficient algorithms for generating local cerebral blood flow parametric images with positron emission tomography’,IEEE Trans. Med. Imaging.,12, pp. 182–188
Feng, D., Huang, S.-C., Wang, Z., andHo, D. (1996): ‘An unbiased parametric imaging algorithm for nonuniformly sampled biomedical system parameter estimation’,IEEE Trans. Med. Imaging,15, pp. 512–518
Gewirtz, H. (1993): ‘Parametric images for quantitative measurements of regional myocardial blood flow in humans: a step in the right direction’,J. Nucl. Med.,34, pp. 862–864
Hermansen, F., Ashburner, J., Spinks, T. J., Kooner, J. S., Camici, P. G., andLammertsma, A. A. (1998): ‘Generation of myocardial factor images directly from the dynamic oxygen-15-water scan without use of an oxygen-15-carbon monoxide blood-pool scan’,J. Nucl. Med.,29, pp. 1696–1702
Herrero, P., Markham, J., Myears, D. W., Weiheimer, C. J., andBergmann, S. R. (1988): ‘Measurement of myocardial blood flow with positron emission tomography: correction for count spillover and partial volume effects’,Math. Comput. Model.,11, pp. 807–812
Heymann, M. A., Payne, B. D., Hoffman, J. I., andRudolph, A. M. (1977): ‘Blood flow measurements with radionuclide-labeled particles’,Prog. Cardiovasc. Dis.,20, pp. 55–79
Iida, H., Kanno, I., Takahashi, A., Miura, S., Murakami M., Takahashi, K., Ono, Y., Shishido, F., Inugami, A., andTomura, N. (1988): ‘Measurement of absolute myocardial blood flow with H2 15O and dynamic positron-emission tomography. Strategy for quantification in relation to the partial-volume effect’,Circulation,78, pp. 104–115
Iida, H., Rhodes, C. G., De Silva, R., Yamamoto, Y., Araujo, L. I., Maseri, A., andJones, T. (1991): ‘Myocardial tissue fraction-correction for partial volume effects and measure of tissue viability’,J. Nucl. Med.,32, pp. 2169–2175
Iida, H., Tamura, Y., Kitamura, K., Bloomfield, P. M., Eberl, S., andOno, Y. (2000): ‘Histochemical correlates of15O-water-perfusable tissue fraction in experimental canine studies of old myocardial infarction’,J. Nucl. Med.,41, pp. 1737–1745
Kassell, N. F., Boarini, D. J., Olin, J. J., andSprowell, J. A. (1983): ‘Cerebral and systemic circulatory effects of arterial hypotension induced by adenosine’,J. Neurosurg.,58, pp. 69–76
Kimura, Y., Hsu, H., Toyama, H., Senda, M. andAlpert, N. M. (1999): ‘Improved signal-to-noise ratio in parametric images by cluster analysis’,Neuroimage,9, pp. 554–561
Kimura, Y., Senda, M., andAlpert, N. M. (2002): ‘Fast formation of statistically reliable FDG parametric images based on clustering and principal components’,Phys. Med. Biol.,47, pp. 455–468
Lammertsma, A. A., De Silva, R., Araujo, L. I., andJones, T. (1992): ‘Measurement of regional myocardial blood flow using C15O2 and positron emission tomography: comparison of tracer models’,Clin. Phys. Physiol. Meas.,13, pp. 1–20
Lee, B. I., Lee, J. S., Lee, D. S., Kang, W. J., Lee, J. J., Kim, S. J., Choi, S. J., Chung, J.-K. andLee, M. C. (2005): ‘Assessment of the feasibility of ensemble ICA for the quantification of myocardial blood flow using dynamic H2 15O PET’,J. Nucl. Med.,5, in press
Lee, J. S., Ahn, J. Y., Lee, D. S., Seo, K., andPark, K. S. (2000): ‘Application of factor and cluster analysis for the parametric image of myocardial blood flow using H2 15O and dynamic PET’.Proc. IEEE Nucl. Sci. Symp. Med. Imag. Conf.
Lee, J. S., Lee, D. S., Ahn, J. Y., Cheon, G. J., Kim, S. K., Yeo, J. S., Seo, K., Park, K. S., Chung, J. K., andLee, M. C. (2001a): ‘Blind separation of cardiac components and extraction of input function from H2 15O dynamic myocardial PET using independent component analysis’,J. Nucl. Med.,42, pp. 938–943
Lee, J. S., Lee, D. D., Choi, S., Park, K. S., andLee, D. S. (2001b): ‘Non-negative matrix factorization of dynamic images in nuclear medicine’.Proc. IEEE Nucl. Sci. Symp. Med. Imag. Conf.
Lee, J. S., Ahn, J. Y., Lee, D. S., Iida, H., Kim, K. M., Yeo, J. S., Cheon, G. J., Kim, S.-K., Park, K. S., Chung, J.-K., andLee, M. C. (2001c): ‘Generation of MBF parametric image from H2 15O dynamic myocardial PET using linear least squares method’,J. Nucl. Med.,5, p. 59P (Abstract)
Peters, A. M., andMyers, M. J. (1998): ‘Physiological measurements with radionuclides in clinical practice’ (Oxford Medical Publications, Oxford, 1998)
Sitek, A., Gullberg, G. T., andHuesman, R. H. (2002): ‘Correction for ambiguous solutions in factor analysis using a penalized least squares objective’,IEEE Trans. Med. Imaging,21, pp. 216–225
Wu, H. M., Hoh, C. K., Buxton, D. B., Kuhle, W. G., Schelbert, H. R., Choi, Y., Hawkins, R. A., Phelps, M. E., andHuang, S. C. (1995a): ‘Quantification of myocardial blood flow using dynamic nitrogen-13-ammonia PET studies and factor analysis of dynamic structures’,J. Nucl. Med.,36, pp. 2087–2093
Wu, H. M., Hoh, C. K., Choi, Y., Schelbert, H. R., Hawkins, R. A., Phelps, M. E., andHuang, S. C. (1995b): ‘Factor analysis for extraction of blood time-activity curves in dynamic FDG-PET studies’,J. Nucl. Med.,36, pp. 1714–1722
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Lee, J.S., Lee, D.S., Ahn, J.Y. et al. Parametric image of myocardial blood flow generated from dynamic H2 15O PET using factor analysis and cluster analysis. Med. Biol. Eng. Comput. 43, 678–685 (2005). https://doi.org/10.1007/BF02351043
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DOI: https://doi.org/10.1007/BF02351043