Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Independent Component Analysis for the Blind Separation Of Spatially Independent Components From ${H_2}^{15}O$ Dynamic Myocardial Positron Emission Tomography

  • Lee, Jae-Sung (Department of Biomedical Engineering and Nuclear Medicine, Seoul National University) ;
  • Ahn, Ji-Young (Department of Biomedical Engineering and Nuclear Medicine, Seoul National University) ;
  • Lee, Dong-Soo (Department of Biomedical Engineering and Nuclear Medicine, Seoul National University) ;
  • Park, Kwang-Suk (Department of Biomedical Engineering and Nuclear Medicine, Seoul National University)
  • Published : 2000.06.01
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Abstract

We applied the ICA method to separate the ventricle and tissue components and to extract left ventricular input function from the H$_2$$^{15}$ O myocardial PET under the assumption that the elementary activities of ventricular pools and myocardium were spatially independent, and that the mixture of them composed dynamic PET frames. ICA-generated left ventricular input functions were compared with the ROI-generated ones, and also with the invasively derived arterial blood samples. Moreover, the rMBF calculated with the ICA-generated input functions and single compartment model was correlated with the results obtained with the radiolabeled microspheres.

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