Preliminary study of a novel method for conveying corrected image volumes in surgical navigation
- 18 September 2012
- journal article
- research article
- Published by Wiley in International Journal of Medical Robotics and Computer Assisted Surgery
- Vol. 9 (1), 109-118
- https://doi.org/10.1002/rcs.1459
Abstract
Background Commercial image‐guided surgery systems rely on the fundamental assumption that preoperative medical images represent the physical state of the patient in the operating room. The guidance display typically consists of a three‐dimensional (3D) model derived from medical images and three orthogonal views of the imaging data. A challenging question in image‐guided surgery is: what happens when the images used in the guidance display no longer correspond to the current geometric state of the anatomy and guidance information is still desirable? Methods We modify the conventional display with two techniques for incorporating a displacement field from a finite‐element model into the guidance display and present a preliminary study of the effect of our method on performance with a simple surgical task. The topic of this paper is methods for conveying the computational model solution, not the model itself. To address the integration of the computational model solution into the display, a novel method of applying the deformation to the tool tip was developed, which quickly corrects for deformation but also maintains the pristine nature of the preoperative images. We compare the proposed technique to an existing method that applies the deformation field to the image volume. Results A pilot study compared mean performance with our method of applying the deformation to the tool tip and the conventional technique. These methods were statistically similar with respect to accuracy of localization (p < 0.05) and amount of time (p < 0.05) required for localization of the target. Conclusions These results suggest that our new technique can be used in place of the computationally expensive task of deforming the image volume, without affecting the time or accuracy of the surgical task. Most notably, our work addresses the problem of incorporating deformation correction into the guidance display and offers a first step toward understanding its effect on surgical performance. Copyright © 2012 John Wiley & Sons, Ltd.Keywords
Funding Information
- National Institutes of Health, partly under the National Cancer Institute (Grant No. R01CA162477)
- National Institute for Neurological Disorders and Stroke (Grant No. R01NS04925)
This publication has 24 references indexed in Scilit:
- 3D XFEM-based modeling of retraction for preoperative image updateComputer Aided Surgery, 2011
- Model-updated image-guided liver surgery: Preliminary results using surface characterizationProgress in Biophysics and Molecular Biology, 2010
- A Sparse Intraoperative Data-Driven Biomechanical Model to Compensate for Brain Shift during NeuronavigationAmerican Journal of Neuroradiology, 2010
- Robust surface registration using salient anatomical features for image‐guided liver surgery: Algorithm and validationMedical Physics, 2008
- Development and validation of a three dimensional ultrasound based navigation system for tumor resectionEuropean Journal of Surgical Oncology, 2008
- Image-guided surgery of liver metastases by three-dimensional ultrasound-based optoelectronic navigationBritish Journal of Surgery, 2007
- An integrated range-sensing, segmentation and registration framework for the characterization of intra-surgical brain deformations in image-guided surgeryComputer Vision and Image Understanding, 2003
- Serial registration of intraoperative MR images of the brainMedical Image Analysis, 2002
- Model-updated image guidance: initial clinical experiences with gravity-induced brain deformationIEEE Transactions on Medical Imaging, 1999
- Marching cubes: A high resolution 3D surface construction algorithmACM SIGGRAPH Computer Graphics, 1987