Name
Abstract | ||
|---|---|---|
Deep brain stimulation (DBS) is a surgical procedure for treating motor-related neurological disorders. DBS clinical efficacy hinges on precise surgical planning and accurate electrode placement, which in turn call upon several image processing and visualization tasks, such as image registration, image segmentation, image fusion, and 3D visualization. These tasks are often performed by a heterogeneous set of software tools, which adopt differing formats and geometrical conventions and require patient-specific parameterization or interactive tuning. To overcome these issues, we introduce in this article PyDBS, a fully integrated and automated image processing workflow for DBS surgery. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s11548-014-1007-y | Int. J. Computer Assisted Radiology and Surgery |
Keywords | Field | DocType |
3d visualization | Computer vision,Surgical planning,Image fusion,Computer science,Visualization,Image processing,Image segmentation,Software,Artificial intelligence,Surgery,Workflow,Image registration | Journal |
Volume | Issue | ISSN |
10 | 2 | 1861-6429 |
Citations | PageRank | References |
10 | 0.73 | 10 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiziano D'albis | 1 | 23 | 2.60 |
| Claire Haegelen | 2 | 116 | 12.01 |
| Caroline Essert | 3 | 58 | 7.15 |
| Sara Fernández-Vidal | 4 | 17 | 1.56 |
| Florent Lalys | 5 | 248 | 16.44 |
| Pierre Jannin | 6 | 644 | 58.36 |