ArticleBiomedical optics express2022
Automated instrument-tracking for 4D video-rate imaging of ophthalmic surgical maneuvers.
Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Intraoperative Spectrally Encoded Coherence Tomography and Reflectometry (iSECTR) for Ophthalmic Surgical Guidance.Translational vision science & technology · 2025Article
- Dynamics-aware deep predictive adaptive scanning optical coherence tomography.Biomedical optics express · 2025Article
- Artificial intelligence integration in surgery through hand and instrument tracking: a systematic literature review.Frontiers in surgery · 2025Review
- Intraoperative detection of parathyroid glands using artificial intelligence: optimizing medical image training with data augmentation methods.Surgical endoscopy · 2024Article
- Towards Autonomous Retinal Microsurgery Using RGB-D Images.IEEE robotics and automation letters · 2024Article
- Integrating a pressure sensor with an OCT handheld probe to facilitate imaging of microvascular information in skin tissue beds.Biomedical optics express · 2022Article
- Optical coherence tomography refraction and optical path length correction for image-guided corneal surgery.Biomedical optics express · 2022Article
- Intraoperative optical coherence tomography in ophthalmology: Technologies and applications.Taiwan journal of ophthalmologyReview
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Intraoperative image-guidance provides enhanced feedback that facilitates surgical decision-making in a wide variety of medical fields and is especially useful when haptic feedback is limited. In these cases, automated instrument-tracking and localization are essential to guide surgical maneuvers and prevent damage to underlying tissue. However, instrument-tracking is challenging and often confounded by variations in the surgical environment, resulting in a trade-off between accuracy and speed. Ophthalmic microsurgery presents additional challenges due to the nonrigid relationship between instrument motion and instrument deformation inside the eye, image field distortion, image artifacts, and bulk motion due to patient movement and physiological tremor. We present an automated instrument-tracking method by leveraging multimodal imaging and deep-learning to dynamically detect surgical instrument positions and re-center imaging fields for 4D video-rate visualization of ophthalmic surgical maneuvers. We are able to achieve resolution-limited tracking accuracy at varying instrument orientations as well as at extreme instrument speeds and image defocus beyond typical use cases. As proof-of-concept, we perform automated instrument-tracking and 4D imaging of a mock surgical task. Here, we apply our methods for specific applications in ophthalmic microsurgery, but the proposed technologies are broadly applicable for intraoperative image-guidance with high speed and accuracy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.