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Published Articles >> Table of Contents >> Abstract
Fifth International Conference on Computer Vision (ICCV'95)
p. 549
3D-2D projective registration of free-form curves and surfaces
J. Feldmar, INRIA, Sophia Antipolis, France
N. Ayache, INRIA, Sophia Antipolis, France
F. Betting, INRIA, Sophia Antipolis, France
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCV.1995.466891
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| Abstract |
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Some medical interventions require knowing the correspondence between an MRI/CT pre-operative image and the actual position of the patient. Examples occur in neurosurgery, radiotherapy, interventional radiology, but also in video surgery (laparoscopy). We present in this article three new techniques for performing this task without artificial markers. We find the 3D-2D projective transformation (composition of a rigid displacement and a perspective projection) which maps a 3D object onto a 2D image of this object. Depending on the object model (curve or surface), and on the 2D image acquisition system (X-Ray, video), the techniques are different but the framework is common. It does not depend on the initial relative positions of the objects and deals with the occlusions and the outliers. Results are presented on real medical data to demonstrate the validity of our approach.
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 Additional Information
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Index Terms- image registration; biomedical NMR; medical image processing; image reconstruction; 3D-2D projective registration; free-form curves; surfaces; MRI preoperative image; neurosurgery; radiotherapy; interventional radiology; video surgery; laparoscopy; artificial markers; perspective projection; rigid displacement; 3D object; 2D image; object model; 2D image acquisition system; outliers; occlusions
Citation:
J. Feldmar, N. Ayache, F. Betting,
"3D-2D projective registration of free-form curves and surfaces,"
iccv,
p. 549,
Fifth International Conference on Computer Vision (ICCV'95),
1995
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