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In this paper, we present a novel framework to simulate and visualize blood flow at high levels of detail through the aortic valve. We generate a 4D reconstruction of the aortic root using contrast-enhanced CT imagery, and attach it to a model of the left ventricle segmented from the Visible Human Project dataset. This full R-R animated model is then used as solid boundary conditions in a highly-accurate...
High resolution cardiac CT imaging technology has revealed the complex endocardial structures of the left ventricle, such as the trabeculae and the papillary muscles. In this paper, we study the morphology of such complex structures. We represent the structures accurately and concisely using curve skeletons, and measure these structures using topological and geometrical features. It is observed both...
While recent developments in the field of ventricular blood flow simulations have pushed modeling to increasingly high levels of accuracy, there has been a steep cost in computation time. Current state-of-the-art simulators take days to run, which is impractical for use in a clinical setting. In this paper, we describe novel adaptations of the SPH algorithm to this problem to achieve an order of magnitude...
In this paper, we propose methods to extract the motion of papillary muscles from high resolution CT images, and quantitatively characterize them by extracting spatio-temporal skeletons. This method first reconstructs and visualizes detailed models of papillary muscles using a two-stage coarse-to-fine registration. To describe the model's shape and motion effectively and efficiently, high level abstractions...
Many cardiovascular diseases, such as ischemia and arrhythmia, will cause abnormal motion of the myocardium, leading to a change of the blood flow pattern in the heart and an increased risk of the formation of thrombus. In this paper, we propose a new method to use high-resolution 4D CT data to model the complex moving boundaries of the heart walls, accurately simulate blood flow using the Navier-Stokes...
CT-based coronary artery calcium (CAC) scanning has been introduced as a noninvasive, low-radiation imaging technique for the assessment of the overall coronary arterial atherosclerotic burden. A 3-D CAC volume contains significant clinically relevant information, which is unused by conventional whole-heart CAC quantification methods. In this paper, we have developed a novel distance-weighted lesion-specific...
Deformable models have had great successes over the past 20 years in medical applications. We have recently developed new classes of deformable models which we term hybrid deformable models to automate the model initialization process and make improvements in segmentation and registration. In this paper we present several hybrid deformable methods we have been developing for segmentation and registration...
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