Fusion of intraoperative force sensoring, surface reconstruction and biomechanical modeling

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

  • S. Röhl - , Karlsruhe Institute of Technology (Author)
  • S. Bodenstedt - , Karlsruhe Institute of Technology (Author)
  • C. Küderle - , Karlsruhe Institute of Technology (Author)
  • S. Suwelack - , Karlsruhe Institute of Technology (Author)
  • H. Kenngott - , Heidelberg University  (Author)
  • B. P. Müller-Stich - , Heidelberg University  (Author)
  • R. Dillmann - , Karlsruhe Institute of Technology (Author)
  • S. Speidel - , National Center for Tumor Diseases (Partners: UKD, MFD, HZDR, DKFZ), Karlsruhe Institute of Technology (Author)

Abstract

Minimally invasive surgery is medically complex and can heavily benefit from computer assistance. One way to help the surgeon is to integrate preoperative planning data into the surgical workflow. This information can be represented as a customized preoperative model of the surgical site. To use it intraoperatively, it has to be updated during the intervention due to the constantly changing environment. Hence, intraoperative sensor data has to be acquired and registered with the preoperative model. Haptic information which could complement the visual sensor data is still not established. In addition, biomechanical modeling of the surgical site can help in reflecting the changes which cannot be captured by intraoperative sensors. We present a setting where a force sensor is integrated into a laparoscopic instrument. In a test scenario using a silicone liver phantom, we register the measured forces with a reconstructed surface model from stereo endoscopic images and a finite element model. The endoscope, the instrument and the liver phantom are tracked with a Polaris optical tracking system. By fusing this information, we can transfer the deformation onto the finite element model. The purpose of this setting is to demonstrate the principles needed and the methods developed for intraoperative sensor data fusion. One emphasis lies on the calibration of the force sensor with the instrument and first experiments with soft tissue. We also present our solution and first results concerning the integration of the force sensor as well as accuracy to the fusion of force measurements, surface reconstruction and biomechanical modeling.

Details

Original languageEnglish
Title of host publicationMedical Imaging 2012
Publication statusPublished - 2012
Peer-reviewedYes

Publication series

SeriesProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8316
ISSN1605-7422

Conference

TitleMedical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling
Duration5 - 7 February 2012
CitySan Diego, CA
CountryUnited States of America

External IDs

ORCID /0000-0002-4590-1908/work/163294177

Keywords

Keywords

  • Finite Element modelling, Force sensoring, Image-Guided Therapy, Registration, Sensor data fusion