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MICCAI
2001
Springer
14 years 28 days ago
A New Method for the Registration of Cardiac PET and MR Images Using Deformable Model Based Segmentation of the Main Thorax Stru
Abstract. Integration of magnetic resonance (MR) and positron emission tomography (PET) images of the heart has proved its usefulness for the estimation of the myocardial viability...
Timo Mäkelä, Patrick Clarysse, Jyrki L&o...
PAMI
2010
171views more  PAMI 2010»
13 years 6 months ago
Automatic Construction of Correspondences for Tubular Surfaces
Abstract— Statistical shape modeling is an established technique and is used for a variety of tasks in medical image processing, such as image segmentation and analysis. A challe...
Toon Huysmans, Jan Sijbers, Brigitte Verdonk
IPMI
2007
Springer
14 years 9 months ago
Regional Appearance in Deformable Model Segmentation
Automated medical image segmentation is a challenging task that benefits from the use of effective image appearance models. In this paper, we compare appearance models at three reg...
Joshua Stough, Robert E. Broadhurst, Stephen M. Pi...
MICCAI
2002
Springer
14 years 9 months ago
A Statistical Shape Model for the Liver
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...
Hans Lamecker, Thomas Lange, Martin Seebass
ISBI
2007
IEEE
14 years 2 months ago
Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models
This paper presents a new framework for shape modeling and analysis. A shape instance is described by a curvature-based shape descriptor. A Profile Hidden Markov Model (PHMM) is ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas