Blood vessel detection in navigated ultrasound: An assistance system for liver resections

2011 IEEE/ICME International Conference on Complex Medical Engineering, CME 2011

Volumn , Issue , 2011, Pages 445-450

  Doerfler, Nikolas ^a   Seidl, Bernhard ^a   Shevchenko, Nikita ^a   Stenzel, Roland ^a   Lueth, Tim C ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Liver surgery assistance; Navigated resection instruments; Ultrasound segmentation

Indexed keywords

ASSISTANCE SYSTEM; BLOOD VESSEL DETECTION; IMAGE MODALITY; LIVER RESECTIONS; LIVER SURGERY; LIVER VESSELS; NAVIGATED RESECTION INSTRUMENTS; PATIENT'S ANATOMY; RESECTION PROCESS; SEGMENTATION ALGORITHMS; SURGERY ASSISTANCE SYSTEM; SURGICAL OPERATION; ULTRASOUND IMAGES; VESSEL STRUCTURE;

ALGORITHMS; BIOMEDICAL ENGINEERING; BLOOD VESSELS; IMAGE SEGMENTATION; INSTRUMENTS; NAVIGATION; SURGERY; TUMORS; ULTRASONICS;

ULTRASONIC APPLICATIONS;

EID: 79960019702     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCME.2011.5876781     Document Type: Conference Paper

References (12)

1. S. Mylona, A. Papevangelou, G. Sqourakis, C. C. Karaliotas, Ultrasonographical anatomy for the surgeon: The value of Intraoperative Ultrasonography, in Liver and Bilary tract Surgery, pp. 49-60, Springer Medizin Verlag, Wien/New York, 2006.
2. S. Nowatschin, M. Markert, S. Weber, T. C. Lüth, A System for Analyzing intraoperative B-Mode Ultrasound Scans of the Liver, 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, August 22-26, 2007, pp. 1346-1349.
3. J. Olesch, N. Papenberg, T. Lange, M. Conrad, B. Fischer, Matching CT and ultrasound data of the liver by landmark constrained image registration, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modelling. Proceedings of the SPIE, Volume 7261 (2009), pp. 72610G-72610G-7, 2009.
4. N. Shevchenko, B. Seidl, J. Schwaiger, M. Markert, T. C. Lueth, MiMed Liver: A Planning System for Liver Surgery, 32nd Annual International Conference of the IEEE EMBS Buenos Aires, Argentina, August 31 - September 4, 2010, pp. 1882-1885.
5. th Annual International Conference of the IEEE, Hong Kong China, Volume 2, pp. 812-815, Nov. 1998.
6. S. Poonguzhali, G. Ravindran, A complete automatic region growing method for segmentation of masses on ultrasound images, International Conference on biomedical and pharmaceutical engineering, Anna Univ., Chennai, pp. 88-92, 2006.
7. M. Kass, A. Witkin, D. Terzopoulos, Snakes: Active Contour Models, International Journal of Computer Vision, pp. 321-331, 1988.
8. O. Husby, H. Rue, Estimating blood vessel areas in ultrasound images using a deformable template model, Statist. Model., Vol. 4, no. 3 pp. 211-226, 2004.
9. J. A. Noble, D. Boukerroui, Ultrasound image segmentation: a survey, IEEE Trans Med Imaging; 25(8); pp. 987-1010, Aug 2006.
10. N. Hiransakolwong, P. S. Windyga, K. A. Hua, K. Vu, A Full Automatic Segmenting System for Ultrasound Images, WACV02, pp. 90-94, 2002.
11. G. P. Penney, J. M. Blackall, M. S. Hamady, T. Sabharwal, A. Adam, D. J. Hawkes, Registration of freehand 3D ultrasound and magnetic resonance liver images, Medical Image Analysis, Volume 8, Issue 1, pp. 81-91, ISSN 1361-8415, March 2004.
12. S. Nowatschin, S. Weber, T. C. Lueth, Fast and simple segmentation of vessels in the liver using intraoperative ultrasound data. CARS: Int'l Congress on Computer Assisted Radiology and Surgery, Osaka, Japan, June 28 - July 1, 2006, In Lemke, Inamura, Doi, Vannier, Farman (Ed.), International Journal of Computer Assisted Radiology and Surgery, Elsevier, pp. 288-290, 2006.