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Magnetic Resonance Imaging
Volume 28, Issue 2
, Pages 245-254
, February 2010
An improved lesion detection approach based on similarity measurement between fuzzy intensity segmentation and spatial probability maps
References
- . Automatic segmentation of different-sized white matter lesions by voxel probability estimation. Medical Image Analysis, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. 2004;8(3):205–215
- . Probabilistic segmentation of white matter lesions in MR imaging. NeuroImage. 2004;21(3):1037–1044
- . Probabilistic segmentation of brain tissue in MR imaging. NeuroImage. 2005;27(4):795–804
- Unified Approach for Multiple Sclerosis Lesion Segmentation on Brain MRI. Ann Biomed Eng. 2006;V34(1):142–151
- . Segmentation and quantification of black holes in multiple sclerosis. NeuroImage. 2006;29(2):467–474
- . Automated segmentation of multiple sclerosis lesions by model outlier detection. IEEE Trans Med Imaging. 2001;20(8):677–688
- Increased differentiation of intracranial white matter lesions by multispectral 3D-tissue segmentation: preliminary results. Magn Reson Imaging. 2001;19(2):207–218
- . Brain MRI lesion load quantification in multiple sclerosis: a comparison between automated multispectral and semi-automated thresholding computer-assisted techniques. Magn Reson Imaging. 2002;20(10):713–720
- Automated segmentation and measurement of global white matter lesion volume in patients with multiple sclerosis. J Magn Reson Imaging. 2000;12(6):799–807
- . Morphometric analysis of white matter lesions in MR images: method and validation. IEEE Trans Med Imaging. 1994;13(4):716–724
- . Multiple sclerosis lesion quantification using fuzzy-connectedness principles. IEEE Trans Med Imaging. 1997;16(5):598–609
- . Automatic tumor segmentation using knowledge-based techniques. IEEE Trans Med Imaging. 1998;17(2):187–201
- . White matter lesion segmentation from volumetric MR images. Medical Imaging and Augmented Reality. 2004;113–120
- . Detection of infarct lesions from single MRI modality using inconsistency between voxel intensity and spatial location—a 3D automatic approach. IEEE Trans Inf Technol Biomed. 2008;12(4):532–540
- . Atlas-based segmentation of pathological MR brain images using a model of lesion growth. IEEE Trans Med Imaging. 2004;23(10):1301–1314
- . Identifying lesions on structural brain images — validation of the method and application to neuropsychological patients. Brain Lang. 2005;94(2):167–177
- . Feature-based statistical analysis of structural MR data for automatic detection of focal cortical dysplastic lesions. NeuroImage. 2005;27(2):253–266
- . VBM lesion detection depends on the normalization template: a study using simulated atrophy. Magn Reson Imaging. 2007;25(10):1385–1396
- . In: Pattern recognition with fuzzy object function algorithms. Norwell (MA): Kluwer Academic Publishers; 1981;p. 256
- . An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation. IEEE Trans Med Imaging. 2003;22(9):1063–1075
- . Adaptive fuzzy segmentation of magnetic resonance images. IEEE Trans Med Imaging. 1999;18(9):737–752
- . MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization. IEEE Trans Inf Technol Biomed. 2005;9(3):459–467
- . Comparison of similarity metrics for texture image retrieval. in TENCON 2003. In: Conference on Convergent Technologies for Asia-Pacific Region. 2003;
- . Unified segmentation. NeuroImage. 2005;26(3):839–851
- . Fully automatic segmentation of the brain in MRI. IEEE Trans Med Imaging. 1998;17(1):98–107
- . Robust unsupervised segmentation of infarct lesion from diffusion tensor MR images using multiscale statistical classification and partial volume voxel reclassification. NeuroImage. 2004;23(4):1507–1518
- . Measurement and reliability: statistical thinking considerations. Schizophrenia Bull. 1991;17(3):483–489
- . Automatic MRI brain tissue segmentation using a hybrid statistical and geometric model.. In: Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on. 2006;
PII: S0730-725X(09)00175-1
doi: 10.1016/j.mri.2009.06.007
© 2010 Elsevier Inc. All rights reserved.
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Magnetic Resonance Imaging
Volume 28, Issue 2
, Pages 245-254
, February 2010
