Robot-assisted ventriculoscopic 3D reconstruction for guidance of deep-brain stimulation surgery

P. Vagdargi, Ali Uneri, C. K. Jones, P. Wu, R. Han, M. Luciano, W. S. Anderson, G. D. Hager, J. H. Siewerdsen

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Purpose: Emerging deep-brain stimulation (DBS) procedures require a high degree of accuracy in placement of neuroelectrodes, even in the presence of deformation due to cerebrospinal fluid (CSF) egress during surgical access. We are developing ventriculoscope and hand-eye calibration methods for a robot-assisted guidance system to augment accurate electrode placement through transventricular approach. Methods: The ventriculoscope camera was modelled and calibrated for lens distortion using three different checkerboards, followed by evaluation on a separate board. The experimental system employed a benchtop UR3e robot (Universal Robots, Denmark) and ventriculoscope (Karl Storz, Tuttlingen, Germany) affixed to the end effector - referred to as the robotassisted ventriculoscopy (RAV) platform. Performance was evaluated in terms of three error metrics (RPE, FCE and PDE). Experiments were conducted to estimate the camera frame of reference using hand-eye calibration methods, and evaluated using a ChAruco board, using five different solvers and residual calibration error as the metric. Results: Camera calibration demonstrated subpixel (0.81 ± 0.11) px reprojection error and projection distance error (PDE) <0.5 mm. The error was observed to converge for any checkerboard used given a sufficient number of calibration images. The hand-eye calibration exhibited sub-mm residual error (0.26 ± 0.18) mm insensitive to the solver used. Conclusions: The RAV system demonstrates sub-mm ventriculoscope camera calibration error and robot-to-camera handeye residual error, providing a valuable platform for the development of advanced 3D guidance systems for emerging DBS approaches. Future work aims to develop structure-from-motion (SfM) methods to reconstruct a 3D optical scene using endoscopic video frames and further testing using rigid and deformable anatomical phantoms as well as cadaver studies.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2021
Subtitle of host publicationImage-Guided Procedures, Robotic Interventions, and Modeling
EditorsCristian A. Linte, Jeffrey H. Siewerdsen
ISBN (Electronic)9781510640252
StatePublished - 2021
EventMedical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling - Virtual, Online
Duration: Feb 15 2021Feb 19 2021

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceMedical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling
CityVirtual, Online


  • Augmented reality
  • Computer Vision
  • Image-guided surgery
  • Neurosurgery
  • Ventriculoscopy

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging


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