Title :
FCD segmentation using texture asymmetry of MR-T1 images of the brain
Author :
Bergo, Felipe P G ; Falcao, Alexandre X. ; Yasuda, Clarissa L. ; Cendes, Fernando
Author_Institution :
LIV, Inst. of Comput., Campinas
Abstract :
Focal cortical dysplasia is the most common malformation in patients with intractable epilepsy. The segmentation of FCD lesions in MR-T1 images of the brain is a crucial step for treatment planning. In this work we present a new FCD segmentation technique based on analysis of texture asymmetry. This technique does not rely on template-based segmentation and is applicable to patients of any age, regardless of anatomic variations. We evaluated the method on 5 patients (aged 1 ly-51y), and obtained 100% detection rate and coverage of 76.9% of the lesional voxels.
Keywords :
biomedical MRI; brain; diseases; feature extraction; image classification; image segmentation; medical image processing; MR-T1 images; brain; curvilinear reformatting computation; feature extraction; focal cortical dysplasia; image segmentation; outlier removal; pattern recognition; texture asymmetry; voxel classification; Aging; Chromium; Epilepsy; Feature extraction; Image segmentation; Image texture analysis; Lesions; Magnetic resonance imaging; Medical diagnosis; Pediatrics; Epilepsy; Focal Cortical Dysplasia; Image Segmentation; Medical diagnosis; Pattern Recognition;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-2002-5
Electronic_ISBN :
978-1-4244-2003-2
DOI :
10.1109/ISBI.2008.4541023
