Name
Title | ||
|---|---|---|
Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements |
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 accurate triangulated depth measurements when performed with a tailored image-based method than with stylus measurements. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/978-3-658-36932-3_35 | Bildverarbeitung für die Medizin 2022 |
DocType | ISSN | Citations |
Conference | 1431-472X | 0 |
PageRank | References | Authors |
0.34 | 0 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lukas Burger | 1 | 0 | 0.34 |
| Lalith Sharan | 2 | 3 | 2.13 |
| Samantha Fischer | 3 | 0 | 0.34 |
| Julian Brand | 4 | 0 | 0.34 |
| Maximillian Hehl | 5 | 0 | 0.34 |
| Gabriele Romano | 6 | 0 | 0.34 |
| Matthias Karck | 7 | 0 | 0.34 |
| Raffaele De Simone | 8 | 41 | 17.95 |
| Ivo Wolf | 9 | 0 | 0.34 |
| Sandy Engelhardt | 10 | 0 | 0.34 |