The Proceedings of Mechanical Engineering Congress, Japan
Online ISSN : 2424-2667
ISSN-L : 2424-2667
2022
Session ID : J241p-01
Conference information

Estimation of the behavior of the tip of an endovascular treatment device in a blood vessel using learning data
*Junpei MOCHIDAKoji MORIKazuto TAKASHIMANaoki TOMATakashi SAITO
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Abstract

Since endovascular treatment is manually operated by the operator, the device causes unexpected movements of the operator, resulting in vascular injury. It is effective to automatically plan the route to prevent this accident. In order to achieve this, it is necessary to know the blood vessel shape and the spatial distribution of the operability of the device tip in advance. In this study, we propose a method to estimate the operability of different blood vessel shapes using the operability database obtained by numerical calculation in advance. The operability of the guide wire was calculated using nine blood vessel models with different radii of curvature at one curve region. These results were stored as a database. Furthermore, the degree of abnormality of these values was calculated. In order to estimate the operability of the new blood vessel shape, 30 operability in the part close to the blood vessel shape was extracted from the database. The estimated local responsiveness could be estimated accurately (mean value of relative error 28.6%) for regions with low abnormality. However, the estimation accuracy of the regions with high degree of abnormality (mean value of relative error 2155.8%) was not good. This estimation method has the advantage that the region responsiveness can be estimated in a short time only by performing the procedure of examining the degree of abnormality of the learning data in advance. It was found that the estimation accuracy was insufficient at the region where the responsiveness changed significantly locally.

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© 2022 The Japan Society of Mechanical Engineers
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