bei Google ScholarTitelangaben
Müller, Leopold ; Hemmer, Patrick ; Queisner, Moritz ; Sauer, Igor ; Allmendinger, Simeon ; Jakubik, Johannes ; Vössing, Michael ; Kühl, Niklas:
Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages.
2024
Veranstaltung: The 38th Annual AAAI Conference on Artificial Intelligence
, February 20-27, 2024
, Vancouver, Canada.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung
,
Vortrag mit Paper
)
Abstract
A significant challenge in image-guided surgery is the accurate measurement task of relevant structures such as vessel segments, resection margins, or bowel lengths. While this task is an essential component of many surgeries, it involves substantial human effort and is prone to inaccuracies. In this paper, we develop a novel human-AI-based method for laparoscopic measurements utilizing stereo vision that has been guided by practicing surgeons. Based on a holistic qualitative requirements analysis, this work proposes a comprehensive measurement method, which comprises state-of-the-art machine learning architectures, such as RAFT-Stereo and YOLOv8. The developed method is assessed in various realistic experimental evaluation environments. Our results outline the potential of our method achieving high accuracies in distance measurements with errors below 1 mm. Furthermore, on-surface measurements demonstrate robustness when applied in challenging environments with textureless regions. Overall, by addressing the inherent challenges of image-guided surgery, we lay the foundation for a more robust and accurate solution for intra- and postoperative measurements, enabling more precise, safe, and efficient surgical procedures.
Weitere Angaben
| Publikationsform: | Veranstaltungsbeitrag (Vortrag mit Paper) |
|---|---|
| Begutachteter Beitrag: | Ja |
| Institutionen der Universität: | Fakultäten > Rechts- und Wirtschaftswissenschaftliche Fakultät > Fachgruppe Betriebswirtschaftslehre > Lehrstuhl Wirtschaftsinformatik > Lehrstuhl Wirtschaftsinformatik - Univ.-Prof. Dr.-Ing. Niklas Kühl |
| Titel an der UBT entstanden: | Ja |
| Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
| Eingestellt am: | 13 Dec 2023 06:30 |
| Letzte Änderung: | 13 Dec 2023 07:46 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/88038 |