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» Segmentation of MR images with intensity inhomogeneities
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IPMI
2003
Springer
13 years 11 months ago
Knowledge-Driven Automated Extraction of the Human Cerebral Ventricular System from MR Images
This work presents an efficient and automated method to extract the human cerebral ventricular system from MRI driven by anatomic knowledge. The ventricular system is divided into ...
Yan Xia, Qingmao Hu, Aamer Aziz, Wieslaw Lucjan No...
ISBI
2004
IEEE
14 years 7 months ago
Robust Unsupervised Tissue Classification in MR Images
A general framework for performing robust, unsupervised tissue classification in magnetic resonance images is presented. Tissue classification is formulated as an estimation probl...
Dzung L. Pham, Jerry L. Prince
TMI
1998
128views more  TMI 1998»
13 years 5 months ago
Fully Automatic Segmentation of the Brain in MRI
— A robust fully automatic method for segmenting the brain from head magnetic resonance (MR) images has been developed, which works even in the presence of radio frequency (RF) i...
M. Stella Atkins, Blair T. Mackiewich
TIP
2008
144views more  TIP 2008»
13 years 6 months ago
Minimization of Region-Scalable Fitting Energy for Image Segmentation
Intensity inhomogeneities often occur in real-world images and may cause considerable difficulties in image segmentation. In order to overcome the difficulties caused by intensity ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...
MICCAI
2002
Springer
14 years 7 months ago
Validation of Tissue Modelization and Classification Techniques in T1-Weighted MR Brain Images
Abstract. We propose a deep study on tissue modelization and classification Techniques on T1-weighted MR images. Three approaches have been taken into account to perform this valid...
Meritxell Bach Cuadra, Bram Platel, Eduardo Solana...