Neuroscience 2005 Abstract
| Presentation Number: | 755.2 |
|---|---|
| Abstract Title: | Segmentation of the human cerebellar cortex using MRI-based atlasing. |
| Authors: |
Makris, N.*1
; Schmahmann, J. D.2
; Howard, J. D.1
; Kaiser, J. R.1
; Hodge, S. M.1
; Papadimitriou, G. M.1
; Boriel, D. L.1
; Tang, L.1
; Tulloch, S. N.1
; Davis, O. C.1
; Jackson, J. S.1
; Haselgrove, C.1
; Piennar, R.1
; Hui, K. K. S.2
; Seidman, L. S.3
; Rauch, S.2
; Caviness Jr., V. S.2
; Kennedy, D. N.1
1Neurol. Center Morphometric Analysis, Massachusetts General Hospital, Charlestown, MA 2Radiology, Massachusetts General Hospital, Charlestown, MA 3Psychiatry, Massachusetts General Hospital, Charlestown, MA |
| Primary Theme and Topics |
Sensory and Motor Systems - Cerebellum -- Cortex and nuclei |
| Session: |
755. Anatomy and Pathology Poster |
| Presentation Time: | Tuesday, November 15, 2005 2:00 PM-3:00 PM |
| Location: | Washington Convention Center - Hall A-C, Board # FF18 |
| Keywords: | CEREBELLUM |
Introduction: We described a parcellation system of the human cerebellar cortex, which is based upon neuroanatomy and conserves the topographic uniqueness of the individual brain [1]. In the present study we created a volume atlas and a surface atlas of the human cerebellar cortex. This was based on nine cerebellar datasets, which have been previously segmented and parcellated.
Methods: The cerebellar cortex of nine adult human subjects was segmented and parcellated into 32 parcellation units (PUs) [1, 2] using T1-weighted anatomic MR images. Registration of volumes and surfaces for the nine datasets was performed using the FreeSurfer system [3]. A volumetric and a surface atlas were created based on these nine cerebellar datasets. This resulted in registered grey scale maps and labeled volumetric and surface maps. For every voxel in the average volume maps we generated a probabilistic distribution of the voxel labels. Similarly for every vertex in the average surface maps we obtained a probability of the surface labeling.
Results and Discussion: The atlasing of the human cerebellar cortex was achieved using morphometric MRI. These probabilistic volumetric and surface average maps can be used for segmentation of novel datasets by registration of their MRI scans with the atlas.
References:
1. Makris N et al., Human Cerebellum: Surface Assisted Cortical Parcellation and Volumetry with Magnetic Resonance Imaging. J Cogn Neurosci, 15:4, 1-16, 2003.
2. Makris N et al., MRI-based Surface Assisted Parcellation of the Human Cerebellar Cortex: An Anatomically Specified Method with Estimate of Reliability. Neuroimage, 25:4, 1146-1160, 2005.
3. Fischl B et al., Cortical Surface-based analysis: II. Inflation, flattening and a surface-based coordinate system. Neuroimage, 9, 195-207, 1999.
Methods: The cerebellar cortex of nine adult human subjects was segmented and parcellated into 32 parcellation units (PUs) [1, 2] using T1-weighted anatomic MR images. Registration of volumes and surfaces for the nine datasets was performed using the FreeSurfer system [3]. A volumetric and a surface atlas were created based on these nine cerebellar datasets. This resulted in registered grey scale maps and labeled volumetric and surface maps. For every voxel in the average volume maps we generated a probabilistic distribution of the voxel labels. Similarly for every vertex in the average surface maps we obtained a probability of the surface labeling.
Results and Discussion: The atlasing of the human cerebellar cortex was achieved using morphometric MRI. These probabilistic volumetric and surface average maps can be used for segmentation of novel datasets by registration of their MRI scans with the atlas.
References:
1. Makris N et al., Human Cerebellum: Surface Assisted Cortical Parcellation and Volumetry with Magnetic Resonance Imaging. J Cogn Neurosci, 15:4, 1-16, 2003.
2. Makris N et al., MRI-based Surface Assisted Parcellation of the Human Cerebellar Cortex: An Anatomically Specified Method with Estimate of Reliability. Neuroimage, 25:4, 1146-1160, 2005.
3. Fischl B et al., Cortical Surface-based analysis: II. Inflation, flattening and a surface-based coordinate system. Neuroimage, 9, 195-207, 1999.
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2005 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2005. Online.
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