Automatic intraoperative optical coherence tomography positioning
- PDF / 2,376,698 Bytes
- 9 Pages / 595.276 x 790.866 pts Page_size
- 17 Downloads / 248 Views
ORIGINAL ARTICLE
Automatic intraoperative optical coherence tomography positioning Matthias Grimm1
· Hessam Roodaki1,2 · Abouzar Eslami2 · Nassir Navab1,3
Received: 25 November 2019 / Accepted: 10 March 2020 / Published online: 2 April 2020 © The Author(s) 2020
Abstract Purpose Intraoperative optical coherence tomography (iOCT) was recently introduced as a new modality for ophthalmic surgeries. It provides real-time cross-sectional information at a very high resolution. However, properly positioning the scan location during surgery is cumbersome and time-consuming, as a surgeon needs both his hands for surgery. The goal of the present study is to present a method to automatically position an iOCT scan on an anatomy of interest in the context of anterior segment surgeries. Methods First, a voice recognition algorithm using a context-free grammar is used to obtain the desired pose from the surgeon. Then, the limbus circle is detected in the microscope image and the iOCT scan is placed accordingly in the X –Y plane. Next, an iOCT sweep in Z direction is conducted and the scan is placed to centre the topmost structure. Finally, the position is fine-tuned using semantic segmentation and a rule-based system. Results The logic to position the scan location on various anatomies was evaluated on ex vivo porcine eyes (10 eyes for corneal apex and 7 eyes for cornea, sclera and iris). The mean euclidean distances (± standard deviation) was 76.7 (± 59.2) pixels and 0.298 (± 0.229) mm. The mean execution time (± standard deviation) in seconds for the four anatomies was 15 (± 1.2). The scans have a size of 1024 by 1024 pixels. The method was implemented on a Carl Zeiss OPMI LUMERA 700 with RESCAN 700. Conclusion The present study introduces a method to fully automatically position an iOCT scanner. Providing the possibility of changing the OCT scan location via voice commands removes the burden of manual device manipulation from surgeons. This in turn allows them to keep their focus on the surgical task at hand and therefore increase the acceptance of iOCT in the operating room. Keywords Automatic positioning · Intraoperative optical coherence tomography · Computer-aided ophthalmic surgery
Introduction Recently, intraoperative optical coherence tomography (iOCT) has been introduced as a new modality to assist eye surgeons during ophthalmic surgery. It provides real-time cross-sectional information at the required high resolution. Furthermore, iOCT is non-invasive and can be coupled with This work was supported by the German Federal Ministry of Research and Education (FKZ: 13GW0236B).
B
Matthias Grimm [email protected]
1
Technical University of Munich, Garching bei München, Germany
2
Translational Research Lab, Carl Zeiss Meditec, München, Germany
3
Johns Hopkins University, Baltimore, USA
existing operating microscopes. This allows for safer treatment and better outcomes for surgeries in both the anterior and posterior segments of the eye. Several studies have pointed out the potential clinical impact of iOCT for v
Data Loading...