Titlebook: CVRMed-MRCAS‘97; First Joint Conferen Jocelyne Troccaz,Eric Grimson,Ralph Mösges Conference proceedings 1997 Springer-Verlag Berlin Heidelb

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Volumetric medical images segmentation using shape constrained deformable models,n (based on iterative closest point algorithm) method. This new method increases the robustness of segmentation while allowing very complex deformation of the original template. Examples of segmentation of the liver and brain ventricles are provided.

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Definition of a 4D continuous polar transformation for the tracking and the analysis of LV motion,ipetal contraction, rotation around the long-axis, elevation). To recover the motion from original data, the 4D polar transformation is calculated using an adaptation of the Iterative Closest Point algorithm. We present the mathematical framework and a demonstration of its feasability on a gated SPECT sequence.

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Conference proceedings 1997ted medicine and medical informatics. Among the areas covered are medical imaging, virtual reality, medical robotics, and computer-integrated therapy and surgery. The book is of relevance to clinicians, medical engineers, and computer scientists.

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Philip S. Yu,Mon -Song Chen,Dilip D. Kandlurng them to incorporate . knowledge in the form of energy and force-based constraints, and provide intuitive interactive capabilities. This paper describes ACD-based deformable surfaces and demonstrates their potential for extracting and reconstructing some of the most complex biological structures from medical image volumes.

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Thomas D. C. Little,Riccardo Gusellave devised a hybrid design that overcomes these limitations. In our experiments we demonstrate that this integration automates and significantly improves the object boundary detection results, independent of the imaging modality used.

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Xiaonan Zhao,Zhanhuai Li,Leijie Zenges the means by which Gibbs modeling and, thus, Bayesian analysis can be applied to the problem. In this paper, we review these developments and demonstrate the methods on MRI data, including the computation of interval estimates.

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Peter J. Nistler,Jean-Luc Gaudiotdescribed which uses mainly a 3-D watershed transform. Application is done to . extraction of spheroidal joint surfaces with the help of an ellipsoidal model. The whole algorithm is shown to be accurate and time efficient.