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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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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