Knowledge-Based Situation Interpretation for Context-Aware Augmented Reality in Dental Implant Surgery

Knowledge-Based Situation Interpretation for Context-Aware Augmented Reality in Dental Implant Surgery
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基于知识的情境解释,用于牙种植手术中的情境感知增强现实

DOI:
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发表时间:
2010
期刊:
Medical Imaging and Augmented Reality
影响因子:
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通讯作者:
R. Dillmann
R. Dillmann
中科院分区:
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文献类型:
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作者:
Darko Katic;G. Sudra;S. Speidel;G. Castrillon;G. Eggers;R. Dillmann

文献摘要

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这项研究的目的是开发和评估上下文感知增强现实系统,该系统根据手术器械的本地上下文过滤内容。我们以光学方式跟踪患者和仪器的位置,并解释这些数据以识别手术的阶段。根据结果​​,生成并显示适当的可视化结果。对于解释,我们结合了基于规则的演绎方法和基于案例的归纳方法。两者都依赖于基于描述逻辑的本体。在模型实验中,该系统用于支持下颌骨模型中的种植体定位。它在大约 85% 的时间内正确识别了相位并提供了适当的可视化。事实证明,基于知识的术中辅助概念能够及时生成有用的可视化结果。然而,还需要进一步的工作来提高准确性并减少与实际和计划种植位置的偏差。
The objective of this research is to develop and evaluate a context-aware Augmented Reality system which filters content based on the local context of the surgical instrument. We optically track positions of the patient and the instrument and interpret this data to recognize the phase of the operation. Depending on the result, an appropriate visualization is generated and displayed. For the interpretation, we combine a rule-based, deductive approach and a case-based, inductive one. Both rely on a description-logic based ontology. In phantom experiments the system was used to support implant positioning in models of the mandible. It recognized the phase correctly and provided an appropriate visualization about 85% of the time. The knowledge-based concept for intraoperative assistance proved capable of generating useful visualizations in a timely manner. However, further work is necessary to improve accuracy and reduce the deviation from the actual and planned implant positions.