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Intravascular imaging using ultrasound or optical coherence tomography (OCT) is predominantly used to adjunct clinical information in interventional cardiology. OCT provides high-resolution images for detailed investigation of atherosclerosis-induced thickening of the lumen wall resulting in arterial blockage and triggering acute coronary events. However, the stochastic uncertainty of speckles limits...
Cardiac electroanatomical mapping (EAM) to locate myocardial scar substrate during ventricular tachycardia (VT) ablation therapy is currently faced with a major limitation. The presence of epicardial fat leads to false-positive low-voltage maps that may interpreted as myocardial scar. Pre-procedural cardiac magnetic resonance (CMR) imaging can produce images of the heart in which both cardiac geometry...
Due to high scattering effects inside lumen, detection of luminal borders in intravascular ultrasound (IVUS) images becomes challenging when high frequency transducers are employed. In this paper, we further study previously developed three-dimensional (3D) multiscale overcomplete brushlet-driven harmonic analysis, motivated by what experts visually do, to trace the lumen borders by exploiting spatial...
The shadow regions in ultrasound (US) B-mode images are due to severe reflection of backscattered signals from dense tissue/medium interface. The loss of ultrasound energy as well as lack of textural or spectral features in these regions raise uncertainty, resulting confusion among experts decisions and developed computer-aided diagnosis (CAD) algorithms outcomes. In this paper, we present a novel...
In this paper we present a new automated method for detecting endocardial and epicardial borders in the left (LV) and right ventricles (RV) of the human heart. Our approach relies on morphological operations on both binary and grayscale images. First, the standard power-law transformation is applied on the image. Then, a region of interest (ROI) is selected semi-automatically, followed by automated...
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