论文标题

患者特定的生物力学在准确的计算机辅助手术图像指导中具有临床意义

Patient Specific Biomechanics Are Clinically Significant In Accurate Computer Aided Surgical Image Guidance

论文作者

Barrow, Michael, Chao, Alice, He, Qizhi, Ramamoorthy, Sonia, Sirlin, Claude, Kastner, Ryan

论文摘要

增强现实用于图像指导外科手术(AR IG),将外科地标从术前图像融合到视频覆盖层中。物理模拟对于通过手术的进展进行准确的位置至关重要,通过避免意外损坏血管等。在肝脏手术中,AR IG模拟精度无法模拟患者疾病独有的僵硬变化,从而阻碍了AR IG模拟精度。我们引入了一种新的方法,以根据磁共振弹性(MRE)数据来说明患者特定的刚度变化。据我们所知,我们是第一个证明使用体内生物力学数据进行AR IG地标放置的人。在这项早期工作中,对我们的MRE数据驱动的模拟和传统方法的比较评估显示了地标放置期间的临床准确性显着差异,并激发了进一步的动物模型试验。

Augmented Reality is used in Image Guided surgery (AR IG) to fuse surgical landmarks from preoperative images into a video overlay. Physical simulation is essential to maintaining accurate position of the landmarks as surgery progresses and ensuring patient safety by avoiding accidental damage to vessels etc. In liver procedures, AR IG simulation accuracy is hampered by an inability to model stiffness variations unique to the patients disease. We introduce a novel method to account for patient specific stiffness variation based on Magnetic Resonance Elastography (MRE) data. To the best of our knowledge we are the first to demonstrate the use of in-vivo biomechanical data for AR IG landmark placement. In this early work, a comparative evaluation of our MRE data driven simulation and the traditional method shows clinically significant differences in accuracy during landmark placement and motivates further animal model trials.

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