We demonstrate in vivo imaging with a robotically aligned OCT (RAOCT) platform that incorporates interchangeable imaging modules with integrated pupil tracking cameras. Our OCT imaging platform consisted of a fixed scan head mounted to a cooperative robot and interchangeable cornea and retinal imaging modules with their own integrated pupil cameras. We validated pupil tracking in both imaging modules (<11 µm accuracy, <±4.5 µm precision). We utilized this platform for in vivo imaging of multiple target tissues of interest in a single imaging session. This flexible design enables the ability to develop new imaging modules for new robotically aligned applications.
Real-time volumetric microscope-integrated OCT (MIOCT) visualization of ophthalmic surgeries is limited by the narrow field of view of OCT relative to the movement of the surgical instruments, requiring extensive manual repositioning by a trained operator. We developed a computer vision system for instrument tracking that utilizes a microscope video camera and a deep-learning object detector trained on synthetic data, which consisted of 3D rendered models of surgical instruments alongside an eye model. This system was then tested in a clinical MIOCT platform, providing high fidelity, video-rate (>40 Hz) object tracking of a cataract surgery instrument over a model eye phantom.
We present a flexible optical coherence tomography (OCT) imaging platform that allows for interchangeable imaging modules for specific target tissues of interest while meeting the requirements for robotically aligned OCT including integrated pupil tracking cameras. Our OCT imaging platform consisted of a fixed scan head (analogous to an SLR camera body) mounted to the robot and interchangeable anterior chamber (AC) and retinal imaging modules with their own integrated pupil cameras. We validated our system in both phantom and ex vivo porcine eyes. This flexible design enables the ability to develop new imaging modules for new robotically aligned applications.
Optical coherence tomography (OCT) has wide application in medicine, particularly ophthalmology. In the anterior chamber of the eye, OCT can potentially image blood cells to monitor cellular response to injury or inflammation. However, low volumetric refresh rates limit OCT in applications that require the tracking of individual, moving cells. Therefore, we propose an efficient 3D cell tracking using adaptive scanning OCT. Adaptive scanning prioritizes capturing regions of interest that change from volume to volume. Using depth information from OCT A-scans, our cell tracking method successfully localized simulated cells across multiple OCT volumes.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.