In this video, we present a research project on cardiac trabeculae segmentation. Trabeculae are fine muscle columns within human ventricles whose both ends are attached to the wall. Extracting these structures are very challenging even with state-of-the-art image segmentation techniques. We observed that these structures form natural topological handles. Based on such observation, we developed a topological approach, which employs advanced computational topology methods and achieve high quality segmentation results
Accurate topology is key when performing meaningful anatomical segmentations, however, it is often o...
The task of simultaneous segmentation of complex anatomical structures such as the cardiac organs is...
The objective of the project is to develop practical algorithms to segment the human heart’s left an...
Heart disease is a major cause of mortality worldwide. Detecting/diagnosing such diseases in their e...
The role of trabeculations and their normal morphological expression in the human heart is still unc...
International audienceHeart disease is the leading cause of death in the developed world. Cardiac pa...
This paper presents a new spatial fully connected tubular network for 3D tubular-structure segmentat...
Medical image-based 3D cardiac models have grown rapidly in the last fifteen years due to the advanc...
Automated segmentation to find the endocardial boundary of the left heart ventricle from magnetic r...
Multi-class segmentation of cardiac magnetic resonance (CMR) images seeks a separation of data into ...
Topological concepts are critically important in the computation of anatomical representations, esta...
The ventricular-blood interface is geometrically complex due to the presence of ventricular trabecul...
Cardiac magnetic resonance (MR) images were segmented by the use of fractal concepts. The method uti...
International audienceCerebral structure segmentation from 3D MRI data is an important task for seve...
One important topic in medical image analysis is segmenting wall structures from different cardiac m...
Accurate topology is key when performing meaningful anatomical segmentations, however, it is often o...
The task of simultaneous segmentation of complex anatomical structures such as the cardiac organs is...
The objective of the project is to develop practical algorithms to segment the human heart’s left an...
Heart disease is a major cause of mortality worldwide. Detecting/diagnosing such diseases in their e...
The role of trabeculations and their normal morphological expression in the human heart is still unc...
International audienceHeart disease is the leading cause of death in the developed world. Cardiac pa...
This paper presents a new spatial fully connected tubular network for 3D tubular-structure segmentat...
Medical image-based 3D cardiac models have grown rapidly in the last fifteen years due to the advanc...
Automated segmentation to find the endocardial boundary of the left heart ventricle from magnetic r...
Multi-class segmentation of cardiac magnetic resonance (CMR) images seeks a separation of data into ...
Topological concepts are critically important in the computation of anatomical representations, esta...
The ventricular-blood interface is geometrically complex due to the presence of ventricular trabecul...
Cardiac magnetic resonance (MR) images were segmented by the use of fractal concepts. The method uti...
International audienceCerebral structure segmentation from 3D MRI data is an important task for seve...
One important topic in medical image analysis is segmenting wall structures from different cardiac m...
Accurate topology is key when performing meaningful anatomical segmentations, however, it is often o...
The task of simultaneous segmentation of complex anatomical structures such as the cardiac organs is...
The objective of the project is to develop practical algorithms to segment the human heart’s left an...