Thursday 13:30-15:30 Computer 38
13:30 3724. Myocardial Infarction Segmentation by GMM Clustering Method with Free-Breathing 3D Navigator-Gated DE-MRI
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.
14:00 3725. Interstrain Comparisons of Murine Global Cardiac Mechanical Function Using MRI
Christakis Constantinides1, Nikolas Aristokleous1, Konstantinos Fokianos2, Jeff Brandenburg3, Dimitrios Perperidis1
1Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus; 2Mathematics and Statistics, University of Cyprus, Nicosia, Cyprus; 3Radiology, Duke University Medical Center, Durham, NC, United States
Quantitative characterization of ventricular function has become important for the assessment of cardiac performance in heart disease. As the manipulation of the mammalian genome becomes routine, it is now possible to generate animal models to study cardiovascular function and dysfunction. Critical to successful phenotypic screening of mouse models of the cardiovascular system using MRI are highly efficient four-dimensional (4D) acquisition protocols, and reduction of the computational image processing complexity for accurate quantification. The -goal of this study is the efficient, quantitative assessment of interstrain cardiac performance in C57BL/6J and DBA/2J mouse hearts under anesthesia, using MRI.
14:30 3726. Feasibility of Myocardial T1 Mapping from Cine-IR Images by Image Warping
Vincenzo Positano1, Matteo Milanesi1, Piergiorgio Masci1, Thomas KIng Foo2, J C. Hardy2, Luca Marinelli2, Andrea Barison, 1,3, Daniele De Marchi1, Massimo Lombardi1, Luigi Landini4
1MRI Laboratory, "G- Monasterio" Foundation and Istitute of Clinical Physiology, Pisa, Italy; 2Global Research Center, General Electric, Niskayuna, NY, United States; 3Scuola Sant'Anna, Pisa, Italy; 4Department of Information Engineering, University of Pisa, Italy
Myocardial T1 mapping from Cine-IR images is feasible by warping the myocardium signal in each frame on a standardized model, evaluating the pixel-by-pixel T1 distribution on the model, and finally warping back the resulting T1 map on each frame.
15:00 3727. Myocardial Motion Estimation from Cardiac Cine-MRI with a Phase-Based Optical Flow Method
Marie Xavier1, Alain Lalande1, Paul Michael Walker1, Jean-Christophe Eicher2, Jean-Eric Wolf, 1,2, François Brunotte1, Louis Legrand1
1LE2I, University of Burgundy, Dijon, France; 2Department of Cardiology, University Hospital, Dijon, France
Generally, the evaluation of myocardial motion from cine-MRI sequences requires a visual evaluation of the regional contractile function and depends on the experience of the reader. To automatically detect local myocardial wall motion abnormalities from cine-MRI sequence, an optical flow technique based on phase information was used. First, the robustness of the technique with regards to Rician noise and to brightness variations was evaluated on synthetic images. Then, in the context of cardiac cine-MRI, a segmental decomposition of the myocardium allowed us to study the mean velocity along the cardiac cycle and gave similar values to those obtained by echocardiography.
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