PDF(Pubmed)
Abstract：
Endoscopy is the gold standard for characterizing pediatric airway disorders, however, it is limited for quantitative analysis due to lack of three-dimensional (3D) vision and poor stereotactic depth perception. We utilize structure from motion (SfM) photogrammetry, to reconstruct 3D surfaces of pathologic and healthy pediatric larynges from monocular two-dimensional (2D) endoscopy. Models of pediatric subglottic stenosis were 3D printed and airway endoscopies were simulated. 3D surfaces were successfully reconstructed from endoscopic videos of all models using an SfM analysis toolkit. Average subglottic surface error between SfM reconstructed surfaces and 3D printed models was 0.65 mm as measured by Modified Hausdorff Distance. Average volumetric similarity between SfM surfaces and printed models was 0.82 as measured by Jaccard Index. SfM can be used to accurately reconstruct 3D surface renderings of the larynx from 2D endoscopy video. This technique has immense potential for use in quantitative analysis of airway geometry and virtual surgical planning.
摘要：
内窥镜检查是表征小儿气道疾病的金标准。然而,由于缺乏三维（3D）视觉和较差的立体定向深度感知，因此定量分析受到限制。我们利用运动结构(SfM)摄影测量，从单眼二维（2D）内窥镜检查重建病理和健康小儿喉的3D表面。儿童声门下狭窄的模型是3D打印和气道内窥镜模拟。使用SfM分析工具包从所有模型的内窥镜视频中成功重建了3D表面。SfM重建表面和3D打印模型之间的平均声门下表面误差为0.65mm，通过ModifiedHausdorffDistance测量。如通过Jaccard指数测量的,SfM表面和印刷模型之间的平均体积相似性为0.82。SfM可用于从2D内窥镜视频准确地重建喉部的3D表面渲染。该技术具有用于气道几何结构和虚拟手术计划的定量分析的巨大潜力。
