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In the statistical analysis of functional brain imaging data, regression analysis and cross correlation analysis between time series data on each grid point have been widely used. The results can be graphically represented as an activation map on an anatomical image, but only activation signal, whose temporal pattern resembles the predefined reference function, can be detected. In the present study,...
In this paper, we propose a method to reproduce fluoroscopic image which is utilized during endovascular surgery process, without using x-raying by introducing augmented reality technique, for constructing an endovascular simulator comprised of an in vitro patient- specific blood vessel model. To reproduce the fluoroscopic image, proposed method firstly matches the refraction index of the blood vessel...
In this paper, we propose a novel method to develop biomimetic models using polyurethane elastomer, which has high photoelastic coefficient, and a method to analyze stress states on the model by photoelastic effect. By using this method, stress condition on vascular wall is clearly visualized on vascular fringe as rainbow-colored photoelastic pattern, and stress can be quantitatively measured from...
In order to reduce fluoroscope usage in endovascular surgery there is a need to develop autonomous catheter insertion systems. We propose a system for tracking the position of the catheter using a magnetic motion capture sensor to provide feedback to a catheter driving mechanism to perform autonomous catheter insertion in major vasculature. Catheter insertion path reconstruction experiments were performed...
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