Augmented reality (AR) in laparoscopic liver surgery needs key landmark detection in intraoperative 2D laparoscopic images and its registration with the preoperative 3D model created from CT/MRI data.
Responsible persons: Yamid Espinel Yueming Jin Sharib Ali
- Task 1: finding reliable landmarks from laparoscopy video images
- Task 2: matching it to the 3D liver model from volumetric data (CT/MR).
- Anatomical landmark segmentation
- Anatomical landmark localization
- 2D-3D keypoint matching distance, root mean square error
Sharib Ali, Yamid Espinel, Yueming Jin, Peng Liu, Bianca Güttner, Xukun Zhang, Lihua Zhang, Tom Dowrick, Matthew J. Clarkson, Shiting Xiao, Yifan Wu, Yijun Yang, Lei Zhu, Dai Sun, Lan Li, Micha Pfeiffer, Shahid Farid, Lena Maier-Hein, Emmanuel Buc, Adrien Bartoli. An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge, Medical Image Analysis, Volume 99, 2025, 103371, ISSN 1361-8415, https://doi.org/10.1016/j.media.2024.103371.