Title :
Use of IBASPM atlas-based automatic segmentation toolbox in pathological brains: Effect of template selection
Author :
Garcia-Vázquez, Verónica ; Reig, Santiago ; Janssen, Joost ; Pascau, Javier ; Rodríguez-Ruano, Alexia ; Udias, Angel ; Chamorro, Judit ; Vaquero, Juan Jose ; Desco, Manuel
Author_Institution :
Unidad de Medicina y CirugÃ\xad;a Experimental, Hospital General Universitario Gregorio Marañón, CIBERSAM, Madrid, 28088 Spain
Abstract :
IBASPM software is an atlas-based method for automatic segmentation of brain structures, available as a freeware toolbox for the SPM package. To test the influence of the atlas when segmenting normal and pathologic brains, manual segmentation of the caudate nucleus head was compared to automatic segmentations using four different atlases: the default MNI AAL atlas; a customized atlas created from a combined sample of patients (n=20) and controls (n=18); and a customized atlas obtained separately for each group. Maximum average ratio of overlapping voxels (dice overlap) between manual and automatic segmentation was 71% for controls and 52% for patients. In both groups, overlap ratios were better when using the customized atlases, instead of the standard MNI AAL atlas. Accuracy of the method was biased between left and right hemispheres, and also between groups, individual variability being higher in patients than in controls. Volumetric measurements using the customized atlases were also more accurate than using the MNI AAL atlas. Volume data were closer to manual segmentation values than dice overlap ratio (average differences ranging from 22.7% for MNI AAL atlas to 10.1% for customized atlas of patients and controls combined). Results suggests a low overall performance of IBASPM as an automatic segmentation method for the head of the caudate nucleus. Because of the biases observed, the use of this method for analyzing caudate nucleus in patients presenting anatomical abnormalities should be cautiously carried out.
Keywords :
Automatic control; Brain; Image edge detection; Image segmentation; Magnetic analysis; Magnetic resonance imaging; Packaging; Pathology; Scanning probe microscopy; Volume measurement;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2008. NSS '08. IEEE
Conference_Location :
Dresden, Germany
Print_ISBN :
978-1-4244-2714-7
Electronic_ISBN :
1095-7863
DOI :
10.1109/NSSMIC.2008.4774225