Abstract
We evaluated applicability of ICA (Independent Component Analysis) for the separation of functional components from H \(_{\rm 2}^{\rm 15}\) O PET (Positron Emission Tomography) cardiac images. The effects of varying myocardial perfusion to the separation results were investigated using a dynamic 2D numerical phantom. The effects of motion in cardiac region were studied using a dynamic 3D phantom. In this 3D phantom, the anatomy and the motion of the heart were simulated based on the MCAT (Mathematical Cardiac Torso) phantom and the image acquisition process was simulated with the PET SORTEO Monte Carlo simulator. With ICA, it was possible to separate the right and left ventricles in the all tests, even with large motion of the heart. In addition, we extracted the ventricle volumes from the ICA component images using the Deformable Surface Model based on Dual Surface Minimization (DM-DSM). In the future our aim is to use the extracted volumes for movement correction.
This work was supported by TEKES Drug 2000 technology program, Tampere Graduate School of Information Sciences and Engineering (TISE), Graduate School of Tampere University of Technology. Anu Juslin obtained a grant from the Cultural Foundation of Pirkanmaa for this work. Jussi Tohka’s work was funded by the Academy of Finland under the grants no. 204782 and 104824 and by the NIH/NCRR grant P41 RR013642, additional support was provided by the NIH Roadmap Initiative for Bioinformatics and Computational Biology U54 RR021813 funded by the NCRR, NCBC, and NIGMS.
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References
Bergmann, S.R., Herrero, P., Markham, J., Weinheimer, C.J., Walsh, M.N.: Noninvasive quantitation of myocardial blood flow in human subjects with oxygen-15-labeled water and positron emission tomography. J. Am. Coll. Cardiol. 14, 639–652 (1989)
Ter–Pogossian, M.M., Bergmann, S.R., Sobel, B.E.: Influence of Cardiac and Respiratory Motion on Tomographic Reconstructions of the Heart: Implications for quantitative Nuclear Cardiology. J. Comput. Assist. Tomogr. 6(6), 1148–1155 (1982)
Hyvärinen, A., Karhunen, J., Oja, E.: Independent Component Analysis, USA. John Wiley Sons, Inc., Chichester (2001)
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., Lee, M.C.: Blind separation of cardiac components and extraction of input function from \(H_{2}^{15}O\) dynamic myocardial PET using Independent Component Analysis. J. Nucl. Med. 42(6), 938–943 (2001)
Kalliokoski, K.K., Nuutila, P., Laine, H., Luotolahti, M., Janatuinen, T., Raitakari, O.T., Takala, T.O., Knuuti, J.: Myocardial perfusion and perfusion reserve in endurance-trained men. Med. Sci. Sports Exerc. 34, 948–953 (2002)
Magadán-Méndez, M., Kivimäki, A., Ruotsalainen, U.: ICA separations of Functional Components from Dynamic Cardiac PET data. IEEE Nuclear Science Symposium Conference Record 4, 2618–2622 (2003)
Pretarius, P.H., Xia, W., King, M.A., Tsui, B.M.W., Lacroix, K.J.: A mathematical model of motion of the heart for use in generating source and attenuation maps for simulating emission imaging. Med. Phys. 26(11), 2323–2332 (1999)
Segars, W.P., Lalush, D.S., Tsui, B.W.M.: Modelling respiratory mechanics in the MCAT and spline based MCAT phantoms. IEEE Trans. Nucl. Sci. 48(1), 89–97 (2001)
Reilhac, A., Lartizien, C., Costes, N., Comtat, C., Evans, A.C.: PET-SORTEO: A Monte Carlo-based simulator with high count rate capabilities. IEEE Trans. Nucl. Sci. 51(1), 46–52 (2004)
Ruotsalainen, U., Raitakari, M., Nuutila, P., Oikonen, V., Sipilä, H., Teräs, M., Knuuti, J., Bloomfield, P., Iida, H.: Quantitative Blood Flow Measurement of Skeletal Muscle Using Oxygen-15 water and PET. J. Nucl. Med. 38, 314–319 (1997)
Furuie, S.S., Herman, G.T., Narayan, T.K., Kinahan, P.E., Karp, J.S., Lewitt, R.M., Matej, S.: A methodology for testing of statistically significant differences between fully 3D PET reconstruction algorithms. Phys. Med. Biol. 39, 341–354 (1994)
Tohka, J., Mykkänen, J.: Deformable Mesh for Automated Surface Extraction from Noisy images. Int. J. Image and Graphics 4(3), 405–432 (2004)
Mykkänen, J., Tohka, J., Luoma, J., Ruotsalainen, U.: Automatic Extraction of Brain Surface and Mid-sagittal plane from PET images applying deformable Models. Technical Report of Department of Computer Sciences, University of Tampere, Finland (2003), http://www.cs.uta.fi/reports/r2003.html
Hyvärinen, A., Oja, E.: A fast fixed-point algorithm for Independent Component Analysis. Neural Computation 9(7), 1483–1492 (1997)
Jackson, D.A., Sommers, K.M., Harvey, H.H.: Similarity coefficients: Measures of co-occurence and association or simply measures of occurrence? The American Naturalist 133(3), 436–453 (1989)
Albán, E., Katkovnik, V., Egiazarian, K.: Adaptive window size gradient estimation for image edge detection. In: Proceedings of SPIE Electronic Imaging, Image Processing: Algorithms and Systems II, Santa Clara, California, USA, pp. 54–65 (2003)
Albán, E., Tohka, J., Ruotsalainen, U.: Adaptive Edge Detection Based on 3D Kernel Functions for Biomedical Image Analysis. To appear in Proceedings of SPIE Electronic Imaging, Image Processing: Algorithms and Systems IV, San Jose, California, USA (January 2005)
Tohka, J.: Surface Smoothing Based on a Sphere Shape Model. In: Proc. of 6th Nordic Signal Processing Symposium, NORSIG 2004, pp. 17–20 (2004)
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Juslin, A., Reilhac, A., Magadán-Méndez, M., Albán, E., Tohka, J., Ruotsalainen, U. (2005). Assessment of Separation of Functional Components with ICA from Dynamic Cardiac Perfusion PET Phantom Images for Volume Extraction with Deformable Surface Models. In: Frangi, A.F., Radeva, P.I., Santos, A., Hernandez, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2005. Lecture Notes in Computer Science, vol 3504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494621_34
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DOI: https://doi.org/10.1007/11494621_34
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