Real-time online adaption for robust instrument tracking and pose estimation
Rieke N, Tan DJ, Tombari F, Vizcáıno JP, di San Filippo CA, Eslami A, Navab N (2016)
Publication Type: Conference contribution
Publication year: 2016
Journal
Publisher: Springer Verlag
Book Volume: 9900 LNCS
Pages Range: 422-430
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Athens, GRC
ISBN: 9783319467191
DOI: 10.1007/978-3-319-46720-7_49
Abstract
We propose a novel method for instrument tracking in Retinal Microsurgery (RM) which is apt to withstand the challenges of RM visual sequences in terms of varying illumination conditions and blur. At the same time,the method is general enough to deal with different background and tool appearances. The proposed approach relies on two random forests to,respectively,track the surgery tool and estimate its 2D pose. Robustness to photometric distortions and blur is provided by a specific online refinement stage of the offline trained forest,which makes our method also capable of generalizing to unseen backgrounds and tools. In addition,a peculiar framework for merging together the predictions of tracking and pose is employed to improve the overall accuracy. Remarkable advantages in terms of accuracy over the state-of-the-art are shown on two benchmarks.
Involved external institutions
Germany (DE)How to cite
APA:
Rieke, N., Tan, D.J., Tombari, F., Vizcáıno, J.P., di San Filippo, C.A., Eslami, A., & Navab, N. (2016). Real-time online adaption for robust instrument tracking and pose estimation. In Sebastian Ourselin, Leo Joskowicz, Mert R. Sabuncu, William Wells, Gozde Unal (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 422-430). Athens, GRC: Springer Verlag.
MLA:
Rieke, Nicola, et al. "Real-time online adaption for robust instrument tracking and pose estimation." Proceedings of the 1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, Athens, GRC Ed. Sebastian Ourselin, Leo Joskowicz, Mert R. Sabuncu, William Wells, Gozde Unal, Springer Verlag, 2016. 422-430.
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