Title :
Automated reconstruction of the cerebral cortex in multiple sclerosis patients
Author :
Shiee, N. ; Bazin, P.-L. ; Reich, Daniel S. ; Pham, D.L.
Author_Institution :
Lab. of Med. Image Comput., Johns Hopkins Univ., Baltimore, MD, USA
fDate :
June 28 2009-July 1 2009
Abstract :
Although cortical atrophy in multiple sclerosis (MS) has been reported in the literature, most cortical reconstruction techniques do not account for lesions. In this work, we propose an automated pipeline for cortical reconstruction from magnetic resonance brain images with MS lesions. The pipeline extends previously well validated methods to allow for the presence of lesions and to accommodate multichannel imaging. We validate this approach on simulated and real images. Application of the pipeline to 103 MS brains produces thickness measurements that agree well with the literature.
Keywords :
biomedical MRI; biomedical measurement; brain; diseases; image reconstruction; medical image processing; neurophysiology; thickness measurement; MS lesion; accommodate multichannel imaging; automated pipeline; cerebral cortex; cortical atrophy; image reconstruction technique; magnetic resonance brain image; multiple sclerosis patient; thickness measurement; Atrophy; Brain modeling; Cerebral cortex; Image reconstruction; Lesions; Magnetic resonance; Magnetic resonance imaging; Multiple sclerosis; Pipelines; Thickness measurement; Cortical reconstruction; Cortical thickness; Lesion segmentation; Multiple sclerosis;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193311