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Relative Pose Estimation of Surgical Tools in Assisted Minimally Invasive Surgery.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Rangan, C. Pandu
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Martí, Joan
Benedí, José Miguel
Mendonça, Ana Maria
Serrat, Joan
Navarro, Agustin
Source :
Pattern Recognition & Image Analysis (9783540728481); 2007, p428-435, 8p
Publication Year :
2007

Abstract

Minimally Invasive Surgery (MIS) is one of these applications where usually only 2D information is available to perform a 3D task. It requires a high degree of sensory-motor skills to overcome the disengagement between action and perception caused by the physical separation of the surgeon with the operative site. The integration of body movements with visual information serves to assist the surgeon providing a sense of position. Our purpose in this paper is to present a solution to the exterior orientation problem based on computer vision, as a tool in assisted interventions, locating the instruments with respect to the surgeon. Having knowledge of the 3D transformations applied to the instrument and its projections in the image plane, we show it is possible to estimate its orientation with only two different rotations and also its relative position if scale information is supplied. Experimental results show some advantages of this new algorithm such as simplicity and real-time performance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540728481
Database :
Supplemental Index
Journal :
Pattern Recognition & Image Analysis (9783540728481)
Publication Type :
Book
Accession number :
33215605
Full Text :
https://doi.org/10.1007/978-3-540-72849-8_54