Methodology for fusing multiple segmentations to pro-duce an improved result has been useful in computational anatomical studies. Although obtaining segmentations of anatomy having a particular topology are essential to stud-ies using diffeomorphic deformation based analyses, no methods of label fusion presented to date have incorporated information regarding the topology of the anatomy. In this paper, we introduce “Topology STAPLE”, a novel method that statistically fuses multiple rater segmentations into a topologically correct segmentation. We evaluate the method on both simulated data and real delineations of the cerebel-lum produced by human raters. 1
A number of procedures have been developed for brain morphometry, many of which are essential in fun...
In brain structural segmentation, multi-atlas strategies are increasingly being used over single-atl...
International audienceCerebral structure segmentation from 3D MRI data is an important task for seve...
Topological concepts are critically important in the computation of anatomical representations, esta...
Abstract. We present here a new method for correcting the topology of objects segmented from medical...
Abstract. Segmentation is critical to understanding the complex relationships between biological str...
In this paper we present a novel label fusion algorithm suited for scenarios in which different manu...
AbstractIn this paper we present a novel label fusion algorithm suited for scenarios in which differ...
International audienceAccurate segmentation of cerebral structures remains, after two decades of res...
<p><b>(A)</b> The algorithm involves performing a hierarchical clustering analysis with all voxels i...
The automatic segmentation of interest structures is devoted to the morphological analysis of brain ...
Automatic segmentation methods are important tools for quantitative analysis of Magnetic Resonance I...
The human brain is composed of a variety of structures, or regions of interest (ROIs), that are resp...
Label fusion is a critical step in many image segmentation frameworks (e.g., multi-atlas segmentatio...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
A number of procedures have been developed for brain morphometry, many of which are essential in fun...
In brain structural segmentation, multi-atlas strategies are increasingly being used over single-atl...
International audienceCerebral structure segmentation from 3D MRI data is an important task for seve...
Topological concepts are critically important in the computation of anatomical representations, esta...
Abstract. We present here a new method for correcting the topology of objects segmented from medical...
Abstract. Segmentation is critical to understanding the complex relationships between biological str...
In this paper we present a novel label fusion algorithm suited for scenarios in which different manu...
AbstractIn this paper we present a novel label fusion algorithm suited for scenarios in which differ...
International audienceAccurate segmentation of cerebral structures remains, after two decades of res...
<p><b>(A)</b> The algorithm involves performing a hierarchical clustering analysis with all voxels i...
The automatic segmentation of interest structures is devoted to the morphological analysis of brain ...
Automatic segmentation methods are important tools for quantitative analysis of Magnetic Resonance I...
The human brain is composed of a variety of structures, or regions of interest (ROIs), that are resp...
Label fusion is a critical step in many image segmentation frameworks (e.g., multi-atlas segmentatio...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
A number of procedures have been developed for brain morphometry, many of which are essential in fun...
In brain structural segmentation, multi-atlas strategies are increasingly being used over single-atl...
International audienceCerebral structure segmentation from 3D MRI data is an important task for seve...