ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2020
Processing-Aware Real-Time Rendering for Optimized Tissue Visualization in Intraoperative 4D OCT.
Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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
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Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- The impact of intraoperative optical coherence tomography on cognitive load in virtual reality vitreoretinal surgery training.Scientific reports · 2025Article
- SpecstatOR: speckle statistics-based iOCT segmentation network for ophthalmic surgery.Biomedical optics express · 2025Article
- Real-time Deformation-aware Control for Autonomous Robotic Subretinal Injection under iOCT Guidance.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2025Article
- New Directions for Ophthalmic OCT - Handhelds, Surgery, and Robotics.Translational vision science & technology · 2025Review
- Unpaired intra-operative OCT (iOCT) video super-resolution with contrastive learning.Biomedical optics express · 2024Article
- Methods for real-time feature-guided image fusion of intrasurgical volumetric optical coherence tomography with digital microscopy.Biomedical optics express · 2023Article
- Surgical microscope integrated MHz SS-OCT with live volumetric visualization.Biomedical optics express · 2023Article
- Real-time tool to layer distance estimation for robotic subretinal injection using intraoperative 4D OCT.Biomedical optics express · 2021Article
- Robotic Navigation Autonomy for Subretinal Injection via Intelligent Real-Time Virtual iOCT Volume Slicing.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and AutomationArticle
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
Intraoperative Optical Coherence Tomography (iOCT) has advanced in recent years to provide real-time high resolution volumetric imaging for ophthalmic surgery. It enables real-time 3D feedback during precise surgical maneuvers. Intraoperative 4D OCT generally exhibits lower signal-to-noise ratio compared to diagnostic OCT and visualization is complicated by instrument shadows occluding retinal tissue. Additional constraints of processing data rates upwards of 6GB/s create unique challenges for advanced visualization of 4D OCT. Prior approaches for real-time 4D iOCT rendering have been limited to applying simple denoising filters and colorization to improve visualization. We present a novel real-time rendering pipeline that provides enhanced intraoperative visualization and is specifically designed for the high data rates of 4D iOCT. We decompose the volume into a static part consisting of the retinal tissue and a dynamic part including the instrument. Aligning the static parts over time allows temporal compounding of these structures for improved image quality. We employ a translational motion model and use axial projection images to reduce the dimensionality of the alignment. A model-based instrument segmentation on the projections discriminates static from dynamic parts and is used to exclude instruments from the compounding. Our real-time rendering method combines the compounded static information with the latest iOCT data to provide a visualization which compensates instrument shadows and improves instrument visibility. We evaluate the individual parts of our pipeline on pre-recorded OCT volumes and demonstrate the effectiveness of our method on a recorded volume sequence with a moving retinal forceps.
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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.