Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images

This paper presents a validation study on statistical nonsupervised brain tissue classification techniques in magnetic resonance (MR) images. Several image models assuming different hypotheses regarding the intensity distribution model, the spatial model and the number of classes are assessed. The m...

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Veröffentlicht in:	IEEE transactions on medical imaging 2005-12, Vol.24 (12), p.1548-1565
Hauptverfasser:	Cuadra, M.B., Cammoun, L., Butz, T., Cuisenaire, O., Thiran, J.-P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Algorithms Artificial Intelligence Brain - anatomy & histology Brain modeling Brain tissue models Computer Simulation Female hidden Markov random fields models Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image quality Image segmentation Imaging, Three-Dimensional - methods Labeling Magnetic field measurement Magnetic noise Magnetic resonance Magnetic resonance imaging Magnetic Resonance Imaging - methods Models, Biological Models, Statistical Noise robustness partial volume Pattern Recognition, Automated - methods Reproducibility of Results Sensitivity and Specificity statistical classification Testing Validation studies validation study
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