Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements
Lukas Burger, Lalith Sharan, Samantha Fischer, Julian Brand,, Maximillian Hehl, Gabriele Romano, Matthias Karck, Raffaele De Simone, Ivo, Wolf, Sandy Engelhardt

TL;DR
This paper compares stereo endoscopy and optical tracking for 3D point measurement accuracy in minimally-invasive cardiac surgery, finding that image-based triangulation often yields more precise depth estimates.
Contribution
It provides a comparative analysis of stereo vision and optical tracking methods for intraoperative 3D point measurement in cardiac procedures.
Findings
Image-based triangulation offers more accurate depth measurements than stylus tracking.
Deep learning detection improves the accuracy of landmark localization.
Stereo setup performs reliably in intraoperative scenarios.
Abstract
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…
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Taxonomy
TopicsAdvanced Vision and Imaging · Robotics and Sensor-Based Localization · Optical measurement and interference techniques
