Fusion of intraoperative force sensoring, surface reconstruction and biomechanical modeling

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • S. Röhl - , Karlsruher Institut für Technologie (Autor:in)
  • S. Bodenstedt - , Karlsruher Institut für Technologie (Autor:in)
  • C. Küderle - , Karlsruher Institut für Technologie (Autor:in)
  • S. Suwelack - , Karlsruher Institut für Technologie (Autor:in)
  • H. Kenngott - , Universität Heidelberg (Autor:in)
  • B. P. Müller-Stich - , Universität Heidelberg (Autor:in)
  • R. Dillmann - , Karlsruher Institut für Technologie (Autor:in)
  • S. Speidel - , Nationales Centrum für Tumorerkrankungen (Partner: UKD, MFD, HZDR, DKFZ), Karlsruher Institut für Technologie (Autor:in)

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

OriginalspracheEnglisch
TitelMedical Imaging 2012
PublikationsstatusVeröffentlicht - 2012
Peer-Review-StatusJa

Publikationsreihe

ReiheProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Band8316
ISSN1605-7422

Konferenz

TitelMedical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling
Dauer5 - 7 Februar 2012
StadtSan Diego, CA
LandUSA/Vereinigte Staaten

Externe IDs

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

Schlagworte

Schlagwörter

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