DocumentCode
850488
Title
An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization
Author
Grimson, W.E.L. ; Ettinger, G.J. ; White, S.J. ; Lozano-Pérez, T. ; Wells, W.M., III ; Kikinis, R.
Author_Institution
Artificial Intelligence Lab., MIT, Cambridge, MA, USA
Volume
15
Issue
2
fYear
1996
fDate
4/1/1996 12:00:00 AM
Firstpage
129
Lastpage
140
Abstract
There is a need for frameless guidance systems to help surgeons plan the exact location for incisions, to define the margins of tumors, and to precisely identify locations of neighboring critical structures. The authors have developed an automatic technique for registering clinical data, such as segmented magnetic resonance imaging (MRI) or computed tomography (CT) reconstructions, with any view of the patient on the operating table. The authors demonstrate on the specific example of neurosurgery. The method enables a visual mix of live video of the patient and the segmented three-dimensional (3-D) MRI or CT model. This supports enhanced reality techniques for planning and guiding neurosurgical procedures and allows us to interactively view extracranial or intracranial structures nonintrusively. Extensions of the method include image guided biopsies, focused therapeutic procedures, and clinical studies involving change detection over time sequences of images
Keywords
biomedical NMR; brain; computerised tomography; image registration; image segmentation; image sequences; medical image processing; surgery; automatic registration method; brain surgery; clinical studies; enhanced reality visualization; exact incision location; extracranial structures; focused therapeutic procedures; frameless stereotaxy; image guided biopsies; image guided surgery; image time sequences; intracranial structures; neighboring critical structures identification; neurosurgery; segmented three-dimensional model; Artificial intelligence; Biomedical imaging; Biopsy; Computed tomography; Data visualization; Image segmentation; Magnetic resonance imaging; Minimally invasive surgery; Neurosurgery; Three dimensional displays;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/42.491415
Filename
491415
Link To Document