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 :
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