JRM Vol.17 No.3 pp. 327-334
doi: 10.20965/jrm.2005.p0327


An In Vitro Patient-Specific Biological Model of the Cerebral Artery Reproduced with a Membranous Configuration for Simulating Endovascular Intervention

Seiichi Ikeda*, Fumihito Arai*, Toshio Fukuda*,
Makoto Negoro**, and Keiko Irie**

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

**Dept. of Neurosurgery School of Medicine, Fujita Health University, Toyoake 470-1192, Japan

October 21, 2004
June 6, 2005
June 20, 2005
medical system, endovascular intervention, vascular model, rapid prototype, medical imaging

We propose an in vitro patient-specific anatomical model of the human cerebral artery and its simulation of endovascular intervention, a potent treatment modality for cerebrovascular diseases. Our proposed model reproduces the 3-dimensional vasculature lumen, using computed tomography (CT) and magnetic resonance (MR) fluoroscopic information, within a thin artery-like membranous configuration having material properties close to arterial tissue. This cerebral arterial model reproduces an exceedingly realistic surgical feel, dynamic vascular deformation and, other important aspects involving endovascular intervention, realizing a highly realistic surgical simulation. We also propose another vasculature model that reproduces the subarachnoid space around the cerebral arteries. This version simulates endovascular intervention realistically. The model is compatible with current major imaging modalities such as CT, MR, and transcranial Doppler (TDC), and should provide effective platforms for applications, such as diagnosis, surgical planning, medical training, hemodynamic analysis and medical system development and evaluation, especially surgical robots.

Cite this article as:
S. Ikeda, F. Arai, T. Fukuda, <. Negoro, and K. Irie, “An In Vitro Patient-Specific Biological Model of the Cerebral Artery Reproduced with a Membranous Configuration for Simulating Endovascular Intervention,” J. Robot. Mechatron., Vol.17, No.3, pp. 327-334, 2005.
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Last updated on Dec. 02, 2020