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KMID : 0384620110220010042
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Korean Journal of Medical Physics
2011 Volume.22 No. 1 p.42 ~ p.51
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Quantitative Assessment Technology of Small Animal Myocardial Infarction PET Image Using Gaussian Mixture Model
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Woo Sang-Keun
Lee Yong-Jin
Lee Won-Ho
Kim Min-Hwan
Park Ji-Ae
Kim Jin-Su
Kim Jong-Guk
Kang Joo-Hyun
Ji Young-Hoon
Choi Chang-Woon
Lim Sang-Moo
Kim Kyeong-Min
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Abstract
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Nuclear medicine images (SPECT, PET) were widely used tool for assessment of myocardial viability and perfusion. However it had difficult to define accurate myocardial infarct region. The purpose of this study was to investigate methodological approach for automatic measurement of rat myocardial infarct size using polar map with adaptive threshold. Rat myocardial infarction model was induced by ligation of the left circumflex artery. PET images were obtained after intravenous injection of 37 MBq -FDG. After 60 min uptake, each animal was scanned for 20 min with ECG gating. PET data were reconstructed using ordered subset expectation maximization (OSEM) 2D. To automatically make the myocardial contour and generate polar map, we used QGS software (Cedars-Sinai Medical Center). The reference infarct size was defined by infarction area percentage of the total left myocardium using TTC staining. We used three threshold methods (predefined threshold, Otsu and Multi Gaussian mixture model; MGMM). Predefined threshold method was commonly used in other studies. We applied threshold value form 10% to 90% in step of 10%. Otsu algorithm calculated threshold with the maximum between class variance. MGMM method estimated the distribution of image intensity using multiple Gaussian mixture models (MGMM2, MGMM5) and calculated adaptive threshold. The infarct size in polar map was calculated as the percentage of lower threshold area in polar map from the total polar map area. The measured infarct size using different threshold methods was evaluated by comparison with reference infarct size. The mean difference between with polar map defect size by predefined thresholds (20%, 30%, and 40%) and reference infarct size were , and , respectively. Otsu verse reference infarct size was . MGMM methods verse reference infarct size was . The predefined threshold (30%) showed the smallest mean difference with reference infarct size. However, MGMM was more accurate than predefined threshold in under 10% reference infarct size case (MGMM: 0.006%, predefined threshold: 0.59%). In this study, we was to evaluate myocardial infarct size in polar map using multiple Gaussian mixture model. MGMM method was provide adaptive threshold in each subject and will be a useful for automatic measurement of infarct size.
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KEYWORD
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-FDG PET, Myocardial infarction rat, Polar map, Adaptive threshold, Gaussian mixture model
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