发表机构
University of Bern; Inselspital, Bern University Hospital, University of Bern; ARTORG Center, University of Bern（伯尔尼大学; 伯尔尼大学附属因塞尔医院; 伯尔尼大学ARTORG中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究能否从单目手术显微镜图像和位姿数据重建神经外科场景的三维几何度量，利用预训练模型估计深度、泊松曲面重建点云成网格，结果显示该方法在模型设置中有技术可行性，支持相关手术技术进一步发展。
AI 中文摘要
目的：评估能否从标准单目手术显微镜图像结合显微镜位姿数据中恢复神经外科手术暴露的三维几何度量。方法：在基于模型的实验室研究中，用集成了Brainlab颅骨导航的蔡司Pentero 800显微镜对两个动脉瘤训练模型成像，存储标准复合视频输出的显微镜图像及同步位姿。经内外部校准后，用预训练的深度模型估计深度，无需特定任务微调。用泊松曲面重建将融合点云转换为网格，与结构光扫描和薄层CT的参考曲面比较。结果：对于代表更深手术通道的模型A，重建精度在1.95±1.70毫米至2.33±2.15毫米之间；对于代表直接暴露表面的模型B,精度在1.02±0.93毫米至1.52±1.21毫米之间。更大图像集主要提高完整性，精度保持在较窄范围内。通道分析表明整体几何得以保留，重建不完整区域有局部偏差。结论：标准单目显微镜图像结合导航位姿数据可通过基于基础模型的流程重建毫米级三维表面，结果显示在受控模型设置中的技术可行性，支持未来手术器械操作暴露客观量化、图像融合及工作空间特征化的进一步发展。
英文摘要
Objective: We evaluated whether metric 3D geometry of neurosurgical operative exposure can be recovered from standard monocular operating-microscope images combined with microscope pose data. Methods: In a phantom-based laboratory study, two aneurysm training phantoms were imaged with a ZEISS Pentero 800 microscope integrated with Brainlab Cranial Navigation. Microscope images from the standard composite video output were stored with synchronous microscope poses. After intrinsic and extrinsic calibration, depth was estimated with the pretrained Depth Anything 3 model without task-specific fine-tuning. Fused point clouds were converted to meshes using Poisson surface reconstruction. Reconstructions were compared with reference surfaces from structured-light scanning and fine-slice CT. Results: For phantom A, representing a deeper surgical corridor, reconstruction accuracy ranged from 1.95 $\pm$ 1.70 mm to 2.33 $\pm$ 2.15 mm. For phantom B, representing a directly exposed surface, accuracy ranged from 1.02 $\pm$ 0.93 mm to 1.52 $\pm$ 1.21 mm. Larger image sets mainly improved completeness, while accuracy remained within a narrower range. Corridor analysis showed preservation of overall geometry with local deviations in incompletely reconstructed regions. Conclusions: Standard monocular microscope images combined with navigation-derived pose data can reconstruct millimeter-range 3D surfaces using a foundation-model-based pipeline. These results show technical feasibility in a controlled phantom setting and support further development toward objective quantification of operative exposure, image fusion, and characterization of working spaces for future surgical instrumentation.
