A real-time deformable model for flexible instruments inserted into tubular structures

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2489, Issue , 2002, Pages 331-338

  Kukuk, Markus ^a,b   Geiger, Bernhard ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b TU DORTMUND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

MEDICAL IMAGING;

APPROXIMATION METHODS; BRUTE-FORCE APPROACH; DEFORMABLE MODELING; LINEAR COMPLEXITY; PHYSICAL CONSTRAINTS; ROBUSTNESS TESTS; TUBULAR STRUCTURES; WORST-CASE COMPLEXITY;

MEDICAL COMPUTING;

EID: 84944031940     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45787-9_42     Document Type: Conference Paper

References (6)

1. Markus Kukuk et al. TBNA-protocols - Guiding TransBronchial Needle Aspirations Without a Computer in the Operating Room. In MICCAI’01 - LNCS 2208, pages 997–1006. Springer.
2. I. Bricault, G. Ferretti, and P. Cinquin. Multi-level Strategy for Computer-Assisted Transbronchial Biopsy. In MICCAI, volume 1496 of LNCS. Springer, 1998.
3. Kensaku Mori et al. A Method for Tracking the Camera Motion of Real Endoscope by Epipolar Geometry Analysis and Virtual Endoscopy System. In MICCAI, volume 2208 of LNCS, pages 1–8. Springer, 2001.
4. Koji Ikuta et al. Portable Virtual Endoscope System with Force and Visual Display for Insertion Training. In MICCAI, volume 1935 of LNCS. Springer, 2000.
5. Theo van Walsum et al. Deformable B-splines for catheter simulation. In CARS’99, 1999.
6. J. Anderson, W. Brody, et al. Davinci - A vascular catheterization and interventional radiology-based training and patient pretreatment planning simulator. In Proc. of Society of Cardiovascular and Interventional Radiology (SCVIR), March 1996.