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JRM Vol.20 No.3 pp. 441-448
doi: 10.20965/jrm.2008.p0441
(2008)

Paper:

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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***, and Ikuo Takahashi****

*Dept. of Micro-Nano Systems Engineering, Nagoya University, Nagoya, Aichi 464-8603, Japan

**Dept. of Bioengineering and Robotics, Tohoku University, Sendai, Miyagi 980-8579, Japan

***Dept. of Neurosurgery School of Medicine, Toyoake, Aichi 470-1192, Japan

****Dept. of Neurosurgery, Anjo Kosei Hospital

Received:
September 28, 2007
Accepted:
March 27, 2008
Published:
June 20, 2008
Creative Commons License
Keywords:
patient specific organ model, endovascular intervention, augumented reality, rapid prototyping, photoelastic analysis
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 in-vitro. 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 simulation more understandable for catheter use and fluoroscopy use and reading.
Cite this article as:
S. Ikeda, C. Villagran, T. Fukuda, Y. Okada, F. Arai, M. Negoro, M. Hayakawa, and I. Takahashi, “Patient-Specific IVR Endovascular Simulator with Augmented Reality for Medical Training and Robot Evaluation,” J. Robot. Mechatron., Vol.20 No.3, pp. 441-448, 2008.
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