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MICCAI
2003
Springer

Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images

15 years 20 days ago
Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images
Abstract. An automated method for segmenting the outer boundary of abdominal aortic aneurysms in MR images is presented. The method is based on the well known Active Shape Models (ASM), which fit a global landmark-based shape model on the basis of local boundary appearance models. The original three-dimensional ASM scheme is modified to deal with multispectral image information and inconsistent boundary appearance in a principled way, with only a limited amount of training data. In addition, a framework for user interaction is proposed. If required, the obtained segmentation can be corrected in an interactive manner by indicating points on the desired boundary. The methods are evaluated in leave-one-out experiments on 21 datasets. A segmentation scheme combining gray level information from two or three MR sequences produces significantly better results than a single-scan model. Average volume errors with respect to the manual segmentation are 4.0%, in 19 out of 21 datasets. In the case...
Marleen de Bruijne, Bram van Ginneken, Lambertus W
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2003
Where MICCAI
Authors Marleen de Bruijne, Bram van Ginneken, Lambertus W. Bartels, Maarten J. van der Laan, Jan D. Blankensteijn, Wiro J. Niessen, Max A. Viergever
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