Yonggang Lu1,2, Thanh D. Nguyen3,
Noel C. F. Codella3, Dorinna D. Mendoza4, Jonathan
Weinsaft4, Bruce B. Lerman5, Yi Wang3
1Wiscom Intelligent System Co.,Ltd.,
Nanjing, Jiangsu, China; 2Department of Radiology , Weill Medical
College of Cornell University, New York, NY, United States; 3Department
of Radiology, Weill Medical College of Cornell University, New York, NY,
United States; 4Department of Medicine, Division of Cardiology,
Weill Medical College of Cornell University, New York, NY, United States; 5Department
of Medicine, Weill Medical College of Cornell University, New York, NY,
United States
A
GMM clustering method with a free-breathing 3D Navigator-Gated DE-MRI was
proposed for myocardial infarction segmentation in this study. Compared to commonly used methods, the
novel method has a superior performance of more accuracy and
operator-independence in assessing myocardial infarction as demonstrated by
preliminary experiments with in vivo human data.