Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ISBI.2009.5193311 | ISBI |
Keywords | Field | DocType |
cortical reconstruction,multichannel imaging,multiple sclerosis patient,automated pipeline,real image,multiple sclerosis,cortical atrophy,magnetic resonance brain image,ms lesion,automated reconstruction,cerebral cortex,ms brain,cortical reconstruction technique,pipelines,brain imaging,image reconstruction,neurophysiology,image segmentation,surface reconstruction,data mining,magnetic resonance | Biomedical engineering,Computer science,Multiple sclerosis,Image segmentation,Cortical atrophy,Artificial intelligence,Cerebral cortex,Iterative reconstruction,Neurophysiology,Pattern recognition,Radiology,Lesion segmentation,Magnetic resonance imaging | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| N. Shiee | 1 | 0 | 0.34 |
| Pierre-Louis Bazin | 2 | 611 | 42.52 |
| Daniel S. Reich | 3 | 209 | 15.94 |
| D. L. Pham | 4 | 0 | 0.34 |