A surgical guidance system for big-bubble deep anterior lamellar keratoplasty

Roodaki H, di San Filippo CA, Zapp D, Navab N, Eslami A (2016)

Publication Type: Conference contribution

Publication year: 2016

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer Verlag

Book Volume: 9900 LNCS

Pages Range: 378-385

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_44

Abstract

Deep Anterior Lamellar Keratoplasty using Big-Bubble technique (BB-DALK) is a delicate and complex surgical procedure with a multitude of benefits over Penetrating Keratoplasty (PKP). Yet the steep learning curve and challenges associated with BB-DALK prevents it from becoming the standard procedure for keratoplasty. Optical Coherence Tomography (OCT) aids surgeons to carry out BB-DALK in a shorter time with a higher success rate but also brings complications of its own such as image occlusion by the instrument,the constant need to reposition and added distraction. This work presents a novel real-time guidance system for BB-DALK which is practically a complete tool for smooth execution of the procedure. The guidance system comprises of modified 3D+t OCT acquisitions,advanced visualization,tracking of corneal layers and providing depth information using Augmented Reality. The system is tested by an ophthalmic surgeon performing BB-DALK on several ex vivo pig eyes. Results from multiple evaluations show a maximum tracking error of 8.8 micrometers.

Involved external institutions

Technische Universität München (TUM) DE Germany (DE) Klinikum rechts der Isar DE Germany (DE) Carl Zeiss AG DE Germany (DE)

How to cite

APA:

Roodaki, H., di San Filippo, C.A., Zapp, D., Navab, N., & Eslami, A. (2016). A surgical guidance system for big-bubble deep anterior lamellar keratoplasty. 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. 378-385). Athens, GRC: Springer Verlag.

MLA:

Roodaki, Hessam, et al. "A surgical guidance system for big-bubble deep anterior lamellar keratoplasty." 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. 378-385.

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