Treatment planning and image guidance for radiofrequency ablation of large tumors.
Treatment planning and image guidance for radiofrequency ablation of large tumors.
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DOI：
10.1109/jbhi.2013.2287202
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发表时间：
2014-05
影响因子：
7.7
通讯作者：
Cleary K
中科院分区：
文献类型：
--
作者：
Ren H;Campos-Nanez E;Yaniv Z;Banovac F;Abeledo H;Hata N;Cleary K
本文讨论了计算机辅助经皮肿瘤消融术的两个关键挑战：规划大型肿瘤的多次重叠消融，同时避免关键结构，并执行规定的计划。为了实现图像引导手术干预的半自动治疗规划，我们开发了一种系统的方法来完成基于针的消融放置任务，从术前规划算法到术中执行平台。规划系统采用多目标优化公式，包括最佳路径选择和基于整数规划的消融覆盖优化，将消融和轨迹的临床约束结合起来。该系统的实现，并在幻影研究和动物模型上进行了验证。所提出的系统可以潜在地进一步扩展用于其他消融技术，例如冷冻疗法。
This article addresses the two key challenges in computer-assisted percutaneous tumor ablation: planning multiple overlapping ablations for large tumors while avoiding critical structures, and executing the prescribed plan. Towards semi-automatic treatment planning for image-guided surgical interventions, we develop a systematic approach to the needle-based ablation placement task, ranging from pre-operative planning algorithms to an intra-operative execution platform. The planning system incorporates clinical constraints on ablations and trajectories using a multiple objective optimization formulation, which consists of optimal path selection and ablation coverage optimization based on integer programming. The system implementation is presented and validated in phantom studies and on an animal model. The presented system can potentially be further extended for other ablation techniques such as cryotherapy.