In this paper, we present a new method for the automatic comparison of myocardial motion patterns and the characterization of their degree of abnormality, based on a statistical atlas …
In this paper we present a new method for fully automatic left ventricle segmentation from 4D cardiac MR datasets. To deal with the diverse dataset, we propose a machine learning …
Recently, there has been considerable progress in the construction and application of cardiac atlases and computational models which integrate heart shape, function, and …
The present paper builds upon recent advances in the spatiotemporal alignment of cardiac sequences to construct a statistical atlas of normal motion. Comparing cardiac sequences …
Statistical atlases may help improving the analysis of cardiac wall-motion abnormalities. This study aims at demonstrating the clinical value of such a method to better understand the …
In this paper, we present the use of atlas-based indexes of abnormality for the quantification of cardiac resynchronization therapy (CRT) outcome in terms of motion. We build an atlas of …
We present in this work an efficient and robust framework for the construction of a high- resolution and spatio-temporal atlas of the whole heart from a database of 138 CT 4D …
This paper presents a brief overview of current trends in the construction of population and multi-modal heart atlases in our group and their application to atlas-based cardiac image …
The present paper builds upon recent advances in the spatiotemporal alignment of cardiac sequences to construct a statistical atlas of normal motion. Comparing cardiac sequences …