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In prostate cancer radiotherapy, accurate segmentation of prostate and organs at risk in planning CT and follow-up CBCT images is an essential part of the therapy planning and optimization. Automatic segmentation is challenging because of the poor constrast in soft tissues. Although atlas-based approaches may provide a priori structural information by propagating manual expert delineations to a new...
In this work, we sought to assist the optimization of Cardiac Resynchronization Therapy (CRT) through the characterization of electro-mechanical delays for each region of the Left Ventricle. This characterization is based on the fusion of electrical, mechanical and anatomical data acquired from Electro-Anatomical Mapping (EAM), Speckle Tracking Echocardiography (STE) and Multislice CT (MSCT) imaging,...
A main limit of biventricular Cardiac Resynchronization Therapy (CRT) is the high rate of non-responder. A challenging task to carry out remains both the identification of the most effective pacing sites and the left ventricular lead positioning by a venous access. This paper aims to show how cardiac CT imaging can be helpful for the clinician to analyse venous system and cardiac function before the...
Cardiac Resynchronization Therapy (CRT) can be optimized by the identification of the most effective pacing sites. The aim of this study is to perform this identification by using electrical and anatomical informations respectively from Electro-Anatomical Mapping (EAM) data and Multislice Computerized Tomography (MSCT) imaging. In order to represent these informations in a unified framework, a two...
Cardiac Resynchronization Therapy is a treatment for bi-ventricular asynchronism. It can be optimized by the identification of the most effective pacing sites. The aim of this study is to provide a helpful tool to perform this identification by the fusion of electrical and anatomical information resulting from Electro-Anatomic Mapping (EAM) data and Multislice Computerized Tomography (MSCT) imaging...
The goal of this work is to evaluate the capabilities of Multislice Computed Tomography (MSCT) to assess local cardiac function. MSCT dynamic acquisition provides datasets representing the whole cardiac cycle, enabling to describe the left ventricle both anatomically and functionally. In order to estimate the cardiac function, a motion estimation method has been proposed, based on a multi-resolution...
The goal of this work is to assess global cardiac function in terms of ventricular volume from multi-slice computed tomography dynamic dataset. We propose an approach for the segmentation of the left ventricle and the measurement of the ventricular volume along the whole cardiac cycle. It is based on the segmentation of the left cavities using a fuzzy connectedness algorithm. The interactive placement...
New tools for the assessment of intra-ventricular dyssynchrony can enable the optimization of Bi-ventricular cardiac resynchronization therapy. Multislice-CT (MSCT) imaging may be a good complement to ultrasound (US) imaging modalities. Moreover, its potential to get a functional and anatomical description of the heart within a single exam constitutes a motivation for this work. This paper is focused...
In this paper we present a new technique for general purpose, semi-interactive and multi-object segmentation in N-dimensional images. This method associates supervised classification methodologies with a region growing algorithm coupled with a connectivity approach. These concepts are combined in a competitive context implemented via a distributed real-time technology which allows multi-object detection...
A new generation of multislice computed tomography (MSCT) scanners, which allow a complete heart coverage, is becoming widely available. With retrospective data reconstruction, it offers new perspectives for cardiac kinetics evaluation in non invasive imaging with volume sequences of high spatial and temporal resolutions. A new method is proposed for cardiac motion extraction in MSCT. It is based...
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