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MICCAI
1999
Springer
13 years 11 months ago
Image Processing for Diffusion Tensor Magnetic Resonance Imaging
This paper1 describes image processing techniques for Diffusion Tensor Magnetic Resonance. In Diffusion Tensor MRI, a tensor describing local water diffusion is acquired for each v...
Carl-Fredrik Westin, S. E. Maier, B. Khidhir, Pete...
CORR
2008
Springer
119views Education» more  CORR 2008»
13 years 7 months ago
Atlas-Based Prostate Segmentation Using an Hybrid Registration
Abstract Purpose: This paper presents the preliminary results of a semiautomatic method for prostate segmentation of Magnetic Resonance Images (MRI) which aims to be incorporated i...
Sébastien Martin, Vincent Daanen, Jocelyne ...
MICCAI
2004
Springer
14 years 8 months ago
Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameter...
Aly A. Farag, Hossam S. Hassan
MICCAI
2004
Springer
14 years 8 months ago
Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI
We propose an original approach for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical images proc...
Christophe Lenglet, Mikaël Rousson, Rachid De...
TMI
1998
122views more  TMI 1998»
13 years 7 months ago
Segmentation and Interpretation of MR Brain Images: An Improved Active Shape Model
Abstract— This paper reports a novel method for fully automated segmentation that is based on description of shape and its variation using point distribution models (PDM’s). An...
Nicolae Duta, Milan Sonka