Quantitative Assessment Technology of Small Animal Myocardial Infarction PET Image Using Gaussian Mixture Model.
- Author:
Sang Keun WOO
1
;
Yong Jin LEE
;
Wonho LEE
;
Min Hwan KIM
;
Ji Ae PARK
;
Jin Su KIM
;
Jong Guk KIM
;
Joo Hyun KANG
;
Young Hoon JI
;
Chang Woon CHOI
;
Sang Moo LIM
;
Kyeong Min KIM
Author Information
1. Molecular Imaging Research Center, Korea Institute of Radiological and Medical Sciences, Seoul, Korea. kmkim@kcch.re.kr
- Publication Type:Original Article
- Keywords:
18F-FDG PET;
Myocardial infarction rat;
Polar map;
Adaptive threshold;
Gaussian mixture model
- MeSH:
Animals;
Arteries;
Electrocardiography;
Fluorodeoxyglucose F18;
Infarction;
Injections, Intravenous;
Ligation;
Myocardial Infarction;
Myocardium;
Nuclear Medicine;
Oligosaccharides;
Perfusion;
Rats
- From:Korean Journal of Medical Physics
2011;22(1):42-51
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
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 18F-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, em leader 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 7.04+/-3.44%, 3.87+/-2.09% and 2.15+/-2.07%, respectively. Otsu verse reference infarct size was 3.56+/-4.16%. MGMM methods verse reference infarct size was 2.29+/-1.94%. 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.
