The aim of this study is to create an automatic frameworkfor sustained ventricular arrhythmia (VA) prediction using cardiac com-puted tomography (CT) images. We built an image processing pipelineand a deep learning network to explore the relation between post-infarctleft ventricular myocardium thickness and previous occurrence of VA.Our...
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June 21, 2021 (v1)Conference paperUploaded on: December 4, 2022
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October 4, 2020 (v1)Conference paper
The short-axis view defined such that a series of slices are perpendicular to the long-axis of the left ventricle (LV) is one of the most important views in cardiovascular imaging. Raw trans-axial Computed Tomography (CT) images must be often reformatted prior to diagnostic interpretation in short-axis view. The clinical importance of this...
Uploaded on: December 4, 2022 -
October 4, 2020 (v1)Conference paper
Many uncertainties remain about the relation between post-infarct scars and ventricular arrhythmia. Most post-infarct patients suffer scar-related arrhythmia several years after the infarct event suggesting that scar remodeling is a process that might require years until the affected tissue becomes arrhythmogenic. In clinical practice, a simple...
Uploaded on: December 4, 2022 -
September 18, 2022 (v1)Conference paper
Heterogeneity of left ventricular (LV) myocardium infarction scar plays an important role as anatomical substrate in ventricular arrhythmia (VA) mechanism. LV myocardium thinning, as observed on cardiac computed tomography (CT), has been shown to correlate with LV myocardial scar and with abnormal electrical activity. In this project, we...
Uploaded on: December 4, 2022