Ru-San Tan

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This paper describes an automatic algorithm that uses a geometry-driven optimization approach to restore the shape of three-dimensional (3D) left ventricular (LV) models created from magnetic resonance imaging (MRI) data. The basic premise is to restore the LV shape such that the LV epicardial surface is smooth after the restoration and that the general(More)
Right ventricular (RV) dysfunction is known to be highly correlated with mortality and morbidity; nevertheless, imaging-based assessment of RV anatomy and physiology lags far behind that of the left ventricle. In this study, we advance RV imaging using cardiac magnetic resonance (CMR) to accomplish the following aims: (i) track the motion of six tricuspid(More)
We develop an automatic method to generate a set of 4D 1-to-1 corresponding surface meshes of the right ventricle (RV) which are motion registered over the whole cardiac cycle. The inputs are a set of 3D RV surface meshes at different phases of the cardiac cycle, each reconstructed independently from border-delineated MR images. To generate point(More)
To determine the left ventricle (LV) chamber volume from cine-MR images, it is necessary to locate the aortic / mitral valve plane with guidance from the long-axis images to isolate (or trim) the LV. However, manual identification of the trimming planes for all frames in the cine-MR scan is tedious and does not guarantee that the LV myocardium volume is(More)
This paper describes a computer method to correct the shape of three-dimensional (3D) left ventricle (LV) models created from magnetic resonance imaging (MRI) data that is affected by patient motion during scanning. Three-dimensional meshes of the LV endocardial and epicardial surfaces are created from border-delineated MRI data at every time frame of the(More)
This study aimed to assess the feasibility of using the regional uniformity of the left ventricle (LV) wall stress (WS) to diagnose patients with myocardial infarction. We present a novel method using a similarity map that measures the degree of uniformity in nominal systolic WS across pairs of segments within the same patient. The values of the nominal WS(More)
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