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» Robust Unsupervised Tissue Classification in MR Images
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MICCAI
2006
Springer
15 years 10 months ago
MR Image Segmentation Using Phase Information and a Novel Multiscale Scheme
This paper considers the problem of automatic classification of textured tissues in 3D MRI. More specifically, it aims at validating the use of features extracted from the phase of...
Jurgen Fripp, Peter Stanwell, Pierrick Bourgeat, S...
ISBI
2007
IEEE
15 years 3 months ago
A Continuous Mixture of Tensors Model for Diffusion-Weighted Mr Signal Reconstruction
Diffusion MRI is a non-invasive imaging technique that allows the measurement of water molecular diffusion through tissue in vivo. In this paper, we present a novel statistical mo...
Bing Jian, Baba C. Vemuri, Evren Özarslan, Pa...
ISBI
2006
IEEE
15 years 3 months ago
Using cine MR images to evaluate myocardial infarct transmurality on delayed enhancement images
Evaluating myocardial viability is an important prognostic factor in the follow-up of infarctions. Delayed Enhancement (DE) perfusion images in MRI have been shown to be very valu...
Racha El-Berbari, Nadjia Kachenoura, Alban Redheui...
ISBI
2008
IEEE
15 years 10 months ago
Robust maximum likelihood estimation in Q-space MRI
Q-space imaging is an emerging diffusion weighted MR imaging technique to estimate molecular diffusion probability density functions (PDF's) without the need to assume a Gaus...
Bennett A. Landman, Jonathan A. D. Farrell, Seth A...
CVPR
1999
IEEE
15 years 11 months ago
Model-Guided Segmentation of Corpus Callosum in MR Images
Magnetic resonance imaging (MRI) of the brain, followed by automated segmentation of the corpus callosum (CC) in midsagittal sections have important applications in both clinical ...
Arvid Lundervold, Torfinn Taxt, Nicolae Duta, Anil...