基于使用FBG传感器进行自适应性PID控制的前列腺支架疗法穿孔控制策略的研究
Jianqiao Li1, Xuesong Dai2,3, Peng Li2,4
1Faculty of Engineering, Monash University, Melbourne, Australian.
PloS one
|August 13, 2025
概括
这项研究引入了一种新的机器人策略,以提高前列腺骨干治疗的准确性. 通过使用强化学习控制器预测和纠正针曲,它显著提高了种子植入精度.
科学领域:
- 机器人和医疗器械 机器人和医疗器械
- 在瘤学瘤学.
- 手术导航 手术导航
背景情况:
- 前列腺骨干疗法需要高精度来实现有效的种子植入.
- 目前的机器人系统面临着针曲偏移的挑战,影响准确性.
- 针曲是前列腺种子植入过程中错误的一个重要来源.
研究的目的:
- 开发和验证一个机器人穿孔控制策略,以提高前列腺骨干治疗的准确性.
- 为了解决机器人前列腺种子植入的针曲挑战.
- 为了提高前列腺骨干治疗期间放射性种子放置的精度.
主要方法:
- 开发了一个基于校正力的针曲偏移预测模型.
- 实施了两阶段的穿孔控制策略 (手术前规划,手术内调整).
- 使用强化学习 (RL) 调节的校正力的一种自适应PID控制器.
主要成果:
- 开发的策略显著减少了针尖的偏斜.
- 前列腺种子植入的平均误差为1.96毫米 (标准误差为0.56毫米).
- 校正力应用有效地提高了种子植入精度.
结论:
- 拟议的机器人穿孔控制策略可以提高前列腺支架治疗的准确性.
- 预测和纠正针曲偏移对于精确的种子放置至关重要.
- 基于强化学习的控制为提高机器人手术精度提供了一个有希望的方法.
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