挖掘:扩散导向的高斯裂纹用于动态阻塞手术场景重建的动态阻塞
Huoling Luo1,2, Xiangling Nan3, Jiahao Yang4
1Shenzhen Institute of Information Technology, Shenzhen, China.
International journal of computer assisted radiology and surgery
|January 30, 2026
概括
这项研究引入了扩散导向高斯喷涂 (DiGS),通过完成封闭表面和稳定运动错误来改善手术中的3D重建,从而导致更准确的手术模型.
科学领域:
- 计算机辅助手术是计算机辅助的手术.
- 医学成像医学成像
- 3D重建重建的3D重建
背景情况:
- 精确的3D重建对于计算机辅助的微创手术至关重要.
- 具有仪器闭塞的动态手术场景带来了重大的重建挑战.
- 现有的3D高斯分片 (3DGS) 方法在不完整的表面和错误在封闭区域的传播上扎.
研究的目的:
- 在动态封闭的外科环境中提高3D重建的准确性.
- 为了解决当前3DGS方法在处理阻塞和运动错误方面的局限性.
主要方法:
- 提出了一个扩散导向高斯分裂 (DiGS) 框架.
- 开发了一个扩散导向的表面完成网络,使用外科手术现场先验用于封闭区域.
- 实施了一种轻量级的制光滑机制,以纠正内镜运动估计错误并稳定优化.
主要成果:
- 在EndoNeRF和StereoMIS数据集上,DiGS在最先进的方法上表现出优越性.
- 在EndoNeRF上实现了61.75%的LPIPS改进,以在封闭的场景中实现更好的感知对齐.
- 在StereoMIS上,获得了7.03%的PSNR增长,40.79%的LPIPS改进,以及更高的SSIM分数,表明结构细节的保存优越.
结论:
- 在具有挑战性的手术场景中,DiGS框架有效地提高了3D模型的准确性和时间连贯性.
- 成功地解决了手术场景重建中的动态闭塞和运动诱导错误.
- 该DiGS代码是公开可用的,用于进一步的研究和开发.
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