外耳道植入物的系统和个性化准备:高效准确的自动化细分系统的开发和验证
Yanjing Luo1,2,3, Mohammadtaha Kouchakinezhad1, Felix Repp4
1Department of Otorhinolaryngology, Head and Neck Surgery, Hannover Medical School, 30625 Hannover, Germany.
Journal of imaging
|August 27, 2025
概括
这项研究开发了一种自动化系统,用于精确测量外部耳道 (EEC) 尺寸,从而实现定制植入物设计. 这项创新旨在减少EEC狭窄的手术后的缩.
科学领域:
- 耳鼻喉科
- 生物医学工程
- 医学成像
背景情况:
- 外耳道 (EEC) 狭窄症通常需要手术,但具有很高的复缩风险.
- 个性化植入物可以防止复缩,但EEC形态变异性使系统设计复杂化.
研究的目的:
- 描述一个人的EEC形态.
- 开发和验证一个自动化的细分系统,以有效地准备EEC植入物.
主要方法:
- 使用3D Slicer手动细分EEC参考数据集.
- 开发一个自定义插件来自动识别最大可植入区域并测量关键维度.
- 通过手动细分和骨植入实验进行验证.
主要成果:
- 自动化系统在形状,体积,长度和宽度方面与手动细分具有很强的一致性.
- 在细分效率上有显著的改善.
- 在所有验证试验中使用插件生成的模型成功制造和安装EEC植入物.
结论:
- 开发的自动化系统在临床上可用于个性化的EEC植入物设计.
- 这种工具可以改善手术规划,并可能减少经手术后的静脉狭窄症治疗.
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