A novel 3D image registration technique for augmented reality vision in minimally invasive thoracoscopic pulmonary segmentectomy.

ABSTRACT:

Purpose

In this feasibility study, we aimed to create a dedicated pulmonary augmented reality (AR) workflow to enable a semi-automated intraoperative overlay of the pulmonary anatomy during video-assisted thoracoscopic surgery (VATS) or robot-assisted thoracoscopic surgery (RATS).

Methods

Initially, the stereoscopic cameras were calibrated to obtain the intrinsic camera parameters. Intraoperatively, stereoscopic images were recorded and a 3D point cloud was generated from these images. By manually selecting the bifurcation key points, the 3D segmentation (from the diagnostic CT scan) was registered onto the intraoperative 3D point cloud.

Results

Image reprojection errors were 0.34 and 0.22 pixels for the VATS and RATS cameras, respectively. We created disparity maps a

SUBMITTER: Peek JJ 

PROVIDER: S-EPMC12034595 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature