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Improvement of Mesh Free Deforming Analysis for Maxillofacial Palpation on a Virtual Training System

Authors: Kenji Yoshitomi; Tatsushi Tokuyasu; Kazuhiko Toshimitsu; Takaaki Nakayama; Kazutoshi Okamura; Kazunori Yoshiura;

Improvement of Mesh Free Deforming Analysis for Maxillofacial Palpation on a Virtual Training System

Abstract

Palpation is important medical diagnostic technic to make correct diagnosis of symptomatic state. It requires a lot of palpation experience under leadership of an experienced medical doctor. Hence, a palpation training system with virtual model of an affected part is useful to get better at the skill. However, there is no practical training for maxillofacial palpation in the dental education curriculum in Japan. So, it is necessary for dental students that the virtual training system is developed, which can to practice maxillofacial palpation. Then, a trial palpation training system for maxillofacial disorder is developed by using virtual reality model and haptic interface. The system is consisted of a PC and the haptic device - PHANToM Omni. A virtual affected part model is constructed from multi-CT images through commercial software. In particular, the dynamic responding virtual model and real-time analysis method through simplified mesh free method are improved. Consequently, we succeed in operation at the real-time by the palpation training system.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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