To support minimally-invasive intraoperative mitral valve repair, quantitative measurements from the valve can be obtained using an infra-red tracked stylus. It is desirable to view such manually measured points together with the endoscopic image for further assistance. Therefore, hand-eye calibration is required that links both coordinate systems and is a prerequisite to project the points onto the image plane. A complementary approach to this is to use a vision-based endoscopic stereo-setup to detect and triangulate points of interest, to obtain the 3D coordinates. In this paper, we aim to compare both approaches on a rigid phantom and two patient-individual silicone replica which resemble the intraoperative scenario. The preliminary results indicate that 3D landmark estimation, either labeled manually or through partly automated detection with a deep learning approach, provides more accurate triangulated depth measurements when performed with a tailored image-based method than with stylus measurements.
@article{arxiv.2201.10848,
title = {Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements},
author = {Lukas Burger and Lalith Sharan and Samantha Fischer and Julian Brand and Maximillian Hehl and Gabriele Romano and Matthias Karck and Raffaele De Simone and Ivo Wolf and Sandy Engelhardt},
journal= {arXiv preprint arXiv:2201.10848},
year = {2022}
}
Comments
Accepted at Bildverarbeitung fuer die Medizin (BVM), Informatik aktuell. Springer Vieweg, Wiesbaden 2022