MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
The detection of calcified plaques is an essential step in the assessment of coronary heart diseases. However, manual plaque segmentation is subjected to intra- and inter-observer ...
MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
Brain aneurysm rupture has been reported to be directly related to the size of aneurysms. The current method used to determine aneurysm size is to manually measure the width of th...
MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
Abstract. Graph-based algorithms have become increasingly popular for medical image segmentation. The fundamental process for each of these algorithms is to use the image content t...
MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
We introduce a fibre tract segmentation algorithm based on the geometric coherence of fibre orientations as indicated by a streamline flow model. The inference of local flow approx...
MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
Abstract. This paper addresses the problem of automatically segmenting bone structures in low resolution clinical MRI datasets. The novel aspect of the proposed method is the combi...
MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
This paper evaluates the performance of a level set algorithm for segmenting the endocardium in short-axis ultrasound images. The evaluation is carried out using an anthropomorphic...
MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
Abstract. This paper presents a machine-learning approach to the interactive classification of suspected liver metastases in fMRI images. The method uses fMRI-based statistical mod...
MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
Abstract. We present a new method for the simultaneous, nearly automatic segmentation of liver contours, vessels, and metastatic lesions from abdominal CTA scans. The method repeat...
MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...