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基于 GPU 的稳健虚拟现实模拟,用于各种针几何形状和位置的射频消融。

Robust GPU-based virtual reality simulation of radio-frequency ablations for various needle geometries and locations.

机构信息

Institute of Medical Informatics, University of Lübeck, Lübeck, Germany.

出版信息

Int J Comput Assist Radiol Surg. 2019 Nov;14(11):1825-1835. doi: 10.1007/s11548-019-02033-w. Epub 2019 Jul 23.

Abstract

PURPOSE

Radio-frequency ablations play an important role in the therapy of malignant liver lesions. The navigation of a needle to the lesion poses a challenge for both the trainees and intervening physicians.

METHODS

This publication presents a new GPU-based, accurate method for the simulation of radio-frequency ablations for lesions at the needle tip in general and for an existing visuo-haptic 4D VR simulator. The method is implemented real time capable with Nvidia CUDA.

RESULTS

It performs better than a literature method concerning the theoretical characteristic of monotonic convergence of the bioheat PDE and a in vitro gold standard with significant improvements ([Formula: see text]) in terms of Pearson correlations. It shows no failure modes or theoretically inconsistent individual simulation results after the initial phase of 10 s. On the Nvidia 1080 Ti GPU, it achieves a very high frame rendering performance of > 480 Hz.

CONCLUSION

Our method provides a more robust and safer real-time ablation planning and intraoperative guidance technique, especially avoiding the overestimation of the ablated tissue death zone, which is risky for the patient in terms of tumor recurrence. Future in vitro measurements and optimization shall further improve the conservative estimate.

摘要

目的

射频消融在恶性肝肿瘤治疗中具有重要作用。对于培训人员和介入医生来说,将针导航到病变部位是一个挑战。

方法

本研究提出了一种新的基于 GPU 的准确方法,用于模拟针尖处病变的射频消融,适用于现有的视触 4D VR 模拟器。该方法通过 Nvidia CUDA 实现了实时能力。

结果

与文献中的方法相比,它在生物热 PDE 的单调收敛理论特性和金标准体外实验方面表现更好,皮尔逊相关系数有显著提高([公式:见正文])。在初始的 10 秒阶段之后,它没有出现故障模式或理论上不一致的单个模拟结果。在 Nvidia 1080 Ti GPU 上,它实现了非常高的帧渲染性能,超过 480 Hz。

结论

我们的方法提供了一种更稳健、更安全的实时消融规划和术中引导技术,特别是避免了消融组织死亡区的高估,这对肿瘤复发的患者来说是有风险的。未来的体外测量和优化将进一步提高保守估计。

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