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An evaluation method for real-time soft-tissue model used for multi-vertex palpation

机译:用于多顶点触诊的实时软组织模型评估方法

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Soft tissue palpation plays an important role in diagnosing various diseases. Palpating skills are tedious to learn due to the difficulty of describing the sense of touch. Because of its interactive nature, a virtual reality (VR) training system embedding with real-time soft-tissue models may be helpful to teach such skills to medical residents. Studies show that such a VR system impacts human perception during palpating at various levels, largely due to the real-time models. Therefore, we propose a formal method for evaluating real-time models considering the human perception. Based upon surface (multi-vertex) contact with 4 force distributions, the evaluation compared a real-time model with a Finite Element Method (FEM) model featuring physical parameters. The comparison consisted of two statistical approaches - ANOVA and Bland and Altman agreement- to assess both visual displacement and force feedback. A case study demonstrated the advantages provided by this evaluation method.
机译:软组织触觉在诊断各种疾病方面发挥着重要作用。由于描述了触摸感的难度,触诊技巧是繁琐的。由于其互动性,虚拟现实(VR)培训系统与实时软组织模型嵌入可能有助于向医疗居民教授此类技能。研究表明,这种VR系统在触诊各个层次期间影响人类感知,主要是由于实时模型。因此,我们提出了考虑人类感知的实时模型的正式方法。基于表面(多顶点)与4力分布接触,评估比较了具有物理参数的有限元方法(FEM)模型的实时模型。比较包括两个统计方法 - Anova和Bland和Altman协议 - 评估视觉流离失所和强制反馈。案例研究证明了该评估方法提供的优点。

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