Name
Title | ||
|---|---|---|
Image-based Registration for a Neurosurgical Robot: Comparison Using Iterative Closest Point and Coherent Point Drift Algorithms. |
Abstract | ||
|---|---|---|
Stereotactic neurosurgical robots allow quick, accurate location of small targets within the brain, relying on accurate registration of pre-operative MRI/CT images with patient and robot coordinate systems during surgery. Fiducial markers or a stereotactic frame are used as registration landmarks; the patient's head is fixed in position throughout surgery. An image-based system could be quicker and less invasive, allowing the head to be moved during surgery to give greater ease of access, but would be required to retain a surgical precision of ∼1mm at the target point. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.procs.2016.07.006 | Procedia Computer Science |
Keywords | Field | DocType |
Registration,ICP,CPD,neurosurgery,robot , | Coordinate system,Computer vision,Fiducial marker,Computer science,Image based,Algorithm,Artificial intelligence,Coherent point drift,Region of interest,Point cloud,Robot,Iterative closest point | Conference |
Volume | ISSN | Citations |
90 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jennifer R. Cutter | 1 | 0 | 0.34 |
| Iain B. Styles | 2 | 0 | 2.37 |
| Ales Leonardis | 3 | 1636 | 147.33 |
| Hamid Dehghani | 4 | 51 | 11.58 |