DocumentCode :
385383
Title :
Textured laser range scanning and registration of the cortical surface
Author :
Sinha, Tuhin K. ; Cash, David M. ; Wei, Robert J. ; Galloway, Robert L. ; Niga, M.I.
Author_Institution :
Dept. of Biomed. Eng., Vanderbilt Univ., Nashville, TN, USA
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
1183
Abstract :
A novel method for intra-operative data acquisition using a laser range scanner is presented for applications in model-updated image-guided surgery. The scanner produces a point cloud containing true-color encoded range data of its field-of-view. This allows characterization of intra-operative conditions using both intensity and geometry information. Furthermore, a rigid-body registration algorithm is developed to incorporate the scanner´s unique data into image-guided surgery applications. The algorithm builds on iterative closest point transforms and mutual information. Phantom registration experiments have shown submillimetric accuracies using the scanner and the algorithm. In this paper we present a set of qualitative results from a neurosurgical case.
Keywords :
brain; image coding; image registration; image texture; iterative methods; laser applications in medicine; medical image processing; phantoms; surgery; cortical surface registration; field-of-view; geometry information; image-guided surgery; intensity information; neurosurgical case; phantom registration experiments; rigid-body registration algorithm; submillimetric accuracies; textured laser range scanning; true-color encoded range data; Clouds; Data acquisition; Geometrical optics; Information geometry; Iterative algorithms; Laser modes; Laser surgery; Mutual information; Surface emitting lasers; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
ISSN :
1094-687X
Print_ISBN :
0-7803-7612-9
Type :
conf
DOI :
10.1109/IEMBS.2002.1106337
Filename :
1106337
Link To Document :
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