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Liver Tumor segmentation in CT images using probabilistic
Liver tumors segmentation is an important prerequisite for planning of surgical interventions. For clinical applicability, the segmentation approach must be able to cope with the high variation in shape and gray-value appearance of the liver. We present a [...]

Multiple Sclerosis Lesion Segmentation Using Statistical and Topological Atlases
This paper presents a new fully automatic method for segmentation of brain images that possess multiple sclerosis (MS) lesions. Multichannel magnetic resonance images are used to delineate multiple sclerosis lesions while segmenting the brain into its [...]

3D Segmentation In The Clinic: A Grand Challenge II at MICCAI 2008 - MS Lesion Segmentation
This document examines the application of a new parametric method on the segmentation of MS lesions in brain sMRI, as applied to the data provided for the MS Lesion Segmentation Challenge at MICCAI 2008. The method uses the vector image joint histogram, [...]

Automatic Segmentation of MS Lesions Using a Contextual Model for the MICCAI Grand Challenge
Automatically segmenting subcortical structures in brain images has the potential to greatly accelerate drug trials and population studies of disease. Here we propose an automatic subcortical segmentation algorithm using the auto context model. Unlike many [...]

A robust Expectation-Maximization algorithm for Multiple Sclerosis lesion segmentation
A fully automatic workflow for Multiple Sclerosis (MS) lesion segmentation is described. Fully automatic means that no user interaction is performed in any of the steps and that all parameters are fixed for all the images processed in beforehand. Our workflow [...]

Multiple Sclerosis Detection in Multispectral Magnetic Resonance Images with Principal Components Analysis.
This paper presents a local feature vector based method for automated Multiple Sclerosis (MS) lesion segmentation of multi spectral MRI data. Twenty datasets from MS patients with FLAIR, T1,T2, MD and FA data with expert annotations are available as training [...]

Helper classes for the BSplineDeformableTransform
noindent This document describes two new classes that facilitate the use of the doxygen{BSplineDeformableTransform} in multiresolution registration algorithms. The first class, doxygen{GridScheduleComputer}, defines the B-spline grid, based on a [...]

Coronary Centerline Extraction Using Multiple Hypothesis Tracking and Minimal Paths
No opinion
This paper describes an interactive approach to the identification of coronary arteries in 3D angiography images. The approach is based on a novel multiple hypothesis tracking methodology which is complemented with a standard minimal path search, and it [...]

3D Segmentation in the Clinic: A Grand Challenge II - Coronary Artery Tracking
No opinion
In this paper the Coronary Artery Tracking competition, which was part of the workshop: "3D Segmentation in the Clinic: A Grand Challenge II" is described. This workshopwas held during the 2008 Medical Image Computing and Computer Assisted Intervention [...]

Automatic Coronary Tree Modeling
No opinion
In this paper, we present an automatic method for extracting center axis representations (centerlines) of coronary arteries in contrast enhanced (CE)-CT angiography scans. The algorithm first detects the aorta which is used as an initial mask for [...]

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A generic computer assisted intervention plug-in module for 3D Slicer with multiple device support
by Lassó A., Tokuda J., Vikal S., Tempany C.M., Hata N., Fichtinger G.

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