Image processing and modeling for active needle steering in liver surgery

Nan Li Bing, Binh Nguyen Phu, S. H. Ong, Jing Qin, Liang Jing Yang, C. K. Chui

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

Image-guided intervention and needle steering for radiofrequency ablation (RFA) of the liver is reviewed in this paper. In particular, the concept of active needle is proposed for RFA treatment. Methods and techniques of image processing and modeling are presented for a stereo liver model. The liver model and constituent components extracted from computerized tomography (CT) images can be used to plan the navigation paths of the RFA needle. The system also provides an option for active needles, which are more amenable to those refractory cases of RFA treatment.
Original languageEnglish
Title of host publicationProceedings - 2009 International Asia Conference on Informatics in Control, Automation, and Robotics, CAR 2009
Pages306-310
Number of pages5
DOIs
Publication statusPublished - 1 Jul 2009
Externally publishedYes
Event2009 International Asia Conference on Informatics in Control, Automation, and Robotics, CAR 2009 - Bangkok, Thailand
Duration: 1 Feb 20092 Sep 2009

Conference

Conference2009 International Asia Conference on Informatics in Control, Automation, and Robotics, CAR 2009
CountryThailand
CityBangkok
Period1/02/092/09/09

Keywords

  • Active needle steering
  • Medical image processing
  • Radiofrequency ablation
  • Volume rendering and visualization

ASJC Scopus subject areas

  • Information Systems
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

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