The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The status of augmented reality in laparoscopic surgery as of 2016
Open accessAbstract
• We review the state of the art about laparoscopic augmented reality with 270+ recent references. • We highlight that most methods consist in a static registration followed by augmentation updates. • We propose a clear classification of all methods and weigh pros and cons for each of them. • This survey is comprehensive and self-contained thanks to various backgrounds on related topics. This article establishes a comprehensive review of all the different methods proposed by the literature concerning augmented reality in intra-abdominal minimally invasive surgery (also known as laparoscopic surgery). A solid background of surgical augmented reality is first provided in order to support the survey. Then, the various methods of laparoscopic augmented reality as well as their key tasks are categorized in order to better grasp the current landscape of the field. Finally, the various issues gathered from these reviewed approaches are organized in order to outline the remaining challenges of augmented reality in laparoscopic surgery .
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A flexible new technique for camera calibration
Zhang, Z. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.888718 · Cited by 15,004
Deformable medical image registration: a survey
Sotiras, A., Davatzikos, C., & Paragios, N. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2265603 · Cited by 1,587
3D shape perception from combined depth cues in human visual cortex
Welchman, A. E., Deubelius, A., Conrad, V., Bülthoff, H. H., & Kourtzi, Z. (2005) · Nature Neuroscience · doi:10.1038/nn1461 · Cited by 183
Enhanced-Reality Video Fluorescence: A Real-Time Assessment of Intestinal Viability
Diana, M., Noll, E., Diemunsch, P., Dallemagne, B., Benahmed, M. A., Agnus, V., Soler, L., Barry, B., Namer, I. J., Demartines, N., et al. (2014) · Annals of Surgery · doi:10.1097/sla.0b013e31828d4ab3 · Cited by 168
Self-citationVisual SLAM for Handheld Monocular Endoscope
Grasa, O. G., Bernal, E., Casado, S., Gil, I., & Montiel, J. M. M. (2014) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2282997 · Cited by 155
Vision-based Navigation in Image-Guided Interventions
Mirota, D. J., Ishii, M., & Hager, G. D. (2011) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071910-124757 · Cited by 137
Cited by
Lungu, A. J., Swinkels, W., Claesen, L., Tu, P., Egger, J., & Chen, X. (2021) · Expert Review of Medical Devices · doi:10.1080/17434440.2021.1860750 · Cited by 269
Augmented Reality for Robotics: A Review
Makhataeva, Z., & Varol, H. (2020) · Robotics · doi:10.3390/robotics9020021 · Cited by 266
Fernández del Amo, I., Erkoyuncu, J. A., Roy, R., Palmarini, R., & Onoufriou, D. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.08.007 · Cited by 234
Application of artificial intelligence in surgery
Zhou, X.-Y., Guo, Y., Shen, M., & Yang, G.-Z. (2020) · Frontiers of Medicine · doi:10.1007/s11684-020-0770-0 · Cited by 181
Metadata
- Authors
- Bernhardt, S., Nicolau, S. A., Soler, L., & Doignon, C.
- Venue
- Medical Image Analysis
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 37
- Pages
- 66-90
- ISSN
- 1361-8415 (ISSN-L)
- OpenAlex
- W2582073395
- Cited by
- 314
- References
- 6
- FWCI
- 15.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
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