ConoSurf: Open-source 3D scanning system based on a conoscopic holography device for acquiring surgical surfaces

Int J Med Robot. 2017 Sep;13(3):e1788. doi: 10.1002/rcs.1788. Epub 2016 Nov 21.

Abstract

Background: A difficulty in computer-assisted interventions is acquiring the patient's anatomy intraoperatively. Standard modalities have several limitations: low image quality (ultrasound), radiation exposure (computed tomography) or high costs (magnetic resonance imaging). An alternative approach uses a tracked pointer; however, the pointer causes tissue deformation and requires sterilizing. Recent proposals, utilizing a tracked conoscopic holography device, have shown promising results without the previously mentioned drawbacks.

Methods: We have developed an open-source software system that enables real-time surface scanning using a conoscopic holography device and a wide variety of tracking systems, integrated into pre-existing and well-supported software solutions.

Results: The mean target registration error of point measurements was 1.46 mm. For a quick guidance scan, surface reconstruction improved the surface registration error compared with point-set registration.

Conclusions: We have presented a system enabling real-time surface scanning using a tracked conoscopic holography device. Results show that it can be useful for acquiring the patient's anatomy during surgery.

Publication types

  • Evaluation Study

MeSH terms

  • Colectomy / instrumentation
  • Colectomy / statistics & numerical data
  • Colon / pathology
  • Colon / surgery
  • Colonoscopy / instrumentation*
  • Colonoscopy / statistics & numerical data
  • Computer Simulation
  • Computer Systems / statistics & numerical data
  • Holography / instrumentation*
  • Holography / statistics & numerical data
  • Humans
  • Imaging, Three-Dimensional / instrumentation*
  • Imaging, Three-Dimensional / statistics & numerical data
  • Models, Anatomic
  • Software
  • Surgery, Computer-Assisted / instrumentation*
  • Surgery, Computer-Assisted / statistics & numerical data