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An approach to the three-dimensional reconstruction of coronary arteries is presented. The principal objective is to show how modeling of a vascular network, together with algorithmic procedures, can lead to accurate 3-D structure and feature labeling. The labeling problem is stated directly within the 3-D reconstruction framework. The reconstruction(More)
A new generation of sub-second multi-slices computed tomography (MSCT) scanners, which allow a complete coronary coverage, is becoming widely available. Nevertheless, they need to be associated with 3D processing tools to quantify the coronary diseases. This study proposes to evaluate a new 3D moment-based method for the extraction of the coronary network(More)
A statistical methodology is proposed to rank several estimation methods of a relevant clinical parameter when no gold standard is available. Based on a regression without truth method, the proposed approach was applied to rank eight methods without using any a priori information regarding the reliability of each method and its degree of automation. It was(More)
The main objective of this work is to track the aortic valve plane in intra-operative fluoroscopic images in order to optimize and secure Transcatheter Aortic Valve Implantation (TAVI) procedure. This paper is focused on the issue of aortic valve calcifications tracking in fluoroscopic images. We propose a new method based on the Tracking-Learning-Detection(More)
This work aimed at combining different segmentation approaches to produce a robust and accurate segmentation result. Three to five segmentation results of the left ventricle were combined using the STAPLE algorithm and the reliability of the resulting segmentation was evaluated in comparison with the result of each individual segmentation method. This(More)
Cardiac Resynchronization Therapy (CRT) can be optimized by the fusion of anatomical, functional and electrical information in a unified framework in order to identify the most effective pacing sites. The aim of this work is to perform a registration between dynamic CT and ultrasound (US) images (2D speckle tracking mode). The proposed registration approach(More)
Cardiac resynchronization therapy (CRT) has been shown to improve cardiovascular function in specific patients suffering from heart failure. This procedure still needs to be optimized to overcome the high rate of implanted patients that do not respond to this therapy. We propose in this work a better characterization of the electro-mechanical (EM) coupling(More)
This manuscript describes our recent developments towards better understanding of the mechanisms amenable to cardiac resynchronization therapy response. We report the results from a full multimodal dataset corresponding to eight patients from the euHeart project. The datasets include echocardiography, MRI and electrophysiological studies. We investigate two(More)
In this paper, we deal with the problem of tracking the coronary venous tree from Multi-Slice Computed Tomog-raphy (MSCT) angiography. Contrast inhomogeneities are a major issue. The proposed tracking procedure is based on minimum-cost path computation and makes use of 'Fast-Marching' technique. The algorithm aims at propagating a front inside a vascular(More)