DocumentCode
2079548
Title
An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization
Author
Grimson, W.E.L. ; Lozano-Pérez, T. ; White, S.J. ; Wells, W.M., III ; Kikinis, R. ; Ettinger, G.J.
Author_Institution
Artificial Intelligence Lab., MIT, Cambridge, MA, USA
fYear
1994
fDate
21-23 Jun 1994
Firstpage
430
Lastpage
436
Abstract
There is a need for frameless guidance systems to help neurosurgeons to plan the exact location of a craniotomy, to define the margins of tumors and to precisely identify locations of neighboring critical structures. We have developed an automatic technique for registering clinical data, such as segmented MRI or CT reconstructions, with the patient´s head on the operating table. A second method calibrates the position of a video camera relative to the patient. The combination allows a visual mix of live video of the patient with the segmented 3D MRI or CT model, enabling enhanced reality techniques for planning and guiding neurosurgical procedures, and to interactively view extracranial or intracranial structures non-intrusively. Extensions of the method include image guided biopsies, focused therapeutic procedures and clinical studies involving change detection over time sequences of images
Keywords
image recognition; image segmentation; medical computing; medical image processing; CT reconstructions; automatic registration method; automatic technique; clinical data; clinical studies; craniotomy; enhanced reality techniques; enhanced reality visualization; exact location; focused therapeutic procedures; frameless guidance systems; frameless stereotaxy; image guided biopsies; image guided surgery; intracranial structures; live video; neighboring critical structures; neurosurgeons; neurosurgical procedures; segmented MRI; tumors; video camera position; Biomedical computing; Image registration; Image segmentation; Object recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Conference_Location
Seattle, WA
ISSN
1063-6919
Print_ISBN
0-8186-5825-8
Type
conf
DOI
10.1109/CVPR.1994.323862
Filename
323862
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