Technical note: Nonrigid registration for laparoscopic liver surgery using sparse intraoperative data Conference Paper


Authors: Heiselman, J. S.; Collins, J. A.; Clements, L. W.; Weis, J. A.; Simpson, A. L.; Geevarghese, S. K.; Kingham, T. P.; Jarnagin, W. R.; Miga, M. I.
Editors: Fei, B.; Webster, R. J. 3rd
Title: Technical note: Nonrigid registration for laparoscopic liver surgery using sparse intraoperative data
Conference Title: Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling
Abstract: Soft tissue deformation can be a major source of error for image-guided interventions. Deformations associated with laparoscopic liver surgery can be substantially different from those concomitant with open approaches due to intraoperative practices such as abdominal insufflation and variable degrees of mobilization from the supporting ligaments of the liver. This technical note outlines recent contributions towards nonrigid registration for laparoscopic liver surgery published in the Journal of Medical Imaging special issue on image-guided procedures, robotic interventions, and modeling [10]. In particular, we review (1) a characterization of intraoperative liver deformation from clinically-Acquired sparse digitizations of the organ surface through a series of laparoscopic-To-open conversions, and (2) a novel deformation correction strategy that leverages a set of control points placed across anatomical regions of mechanical support provided to the organ. Perturbations of these control points on a finite element model were used to iteratively reconstruct the intraoperative deformed organ shape from sparse measurements of the liver surface. These characterization and correction methods for laparoscopic deformation were applied to a retrospective clinical series of 25 laparoscopic-To-open conversions performed under image guidance and a phantom validation framework. © 2018 SPIE.
Keywords: laparoscopy; liver; registration; computerized tomography; medical imaging; surgery; robotics; surgical equipment; tissue; deformation; image-guided surgery; deformation corrections; image guided surgery; image-guided intervention; soft tissue deformation; finite element method; intraoperative data; iterative methods; image guided procedures; nonrigid registration; finite element model
Journal Title Proceedings of SPIE
Volume: 10576
Conference Dates: 2018 Feb 12-15
Conference Location: Houston, TX
ISBN: 0277-786X
Publisher: SPIE  
Date Published: 2018-03-12
Start Page: 10576 0D
Language: English
DOI: 10.1117/12.2295026
PROVIDER: scopus
DOI/URL:
Notes: Conference Paper -- Export Date: 4 September 2018 -- Source: Scopus
Altmetric Score
MSK Authors
  1. William R Jarnagin
    600 Jarnagin
  2. T Peter Kingham
    297 Kingham
  3. Amber L Simpson
    53 Simpson