Patient-Specific IVR Endovascular Simulator with Augmented Reality for Medical Training and Robot Evaluation

Seiichi Ikeda, Carlos Tercero Villagran, Toshio Fukuda, Yuta Okada, Fumihito Arai, Makoto Negoro, Motoharu Hayakawa, Ikuo Takahashi

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Endovascular intervention using interventional radiology (IVR) is most commonly used in cerebralvascular treatment. Medical imaging such as digital subtraction angiography (DSA) and vascular mapping make vasculature and catheters easier to read from fluoroscopy during endovascular intervention. We propose simulating IVR using augmented reality, reproducing fluoroscopic images and a patient-specific blood vessel model without X-ray imaging. The advantages of the patient-specific vascular model reproducing the human vasculature lumen with 13 μm resolution include 1) a realistic “feel,” 2) excellent tool behavior simulation during intervention, and 3) surgical training alternative to physician training invitro. Simulated fluoroscopic images are created in two steps: First, the blood vessel model refraction index is matched to surrounding glycerin solution to conceal the vascular model, making the silicone vasculature appear human as seen in endovascular intervention. Second, an augmented reality (AR) environment is created using image subtraction and overlap, making model-based endovascular simulationmore understandable for catheter use and fluoroscopy use and reading.

Original languageEnglish
Pages (from-to)441-448
Number of pages8
JournalJournal of Robotics and Mechatronics
Volume20
Issue number3
DOIs
Publication statusPublished - 2008

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Electrical and Electronic Engineering

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