ArticleBiomedical optics express2018
Enhancement of morphological and vascular features in OCT images using a modified Bayesian residual transform.
Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 25 citations in OpenAlex.
- Microsurgery Robots: Applications, Design, and Development.Sensors (Basel, Switzerland) · 2023Review
- The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques.Frontiers in medicine · 2022Review
- An Open-Source Deep Learning Network for Reconstruction of High-Resolution OCT Angiograms of Retinal Intermediate and Deep Capillary Plexuses.Translational vision science & technology · 2021Article
- Artificial intelligence in OCT angiography.Progress in retinal and eye research · 2021Review
- Role of anterior segment optical coherence tomography angiography in the assessment of acute chemical ocular injury: a pilot animal model study.Scientific reports · 2021Article
- Developing a normative database for retinal perfusion using optical coherence tomography angiography.Biomedical optics express · 2021Article
- Effect of vessel enhancement filters on the repeatability of measurements obtained from widefield swept-source optical coherence tomography angiography.Scientific reports · 2020Article
- Approaches to quantify optical coherence tomography angiography metrics.Annals of translational medicine · 2020Review
- Intra-session repeatability of quantitative metrics using widefield optical coherence tomography angiography (OCTA) in elderly subjects.Acta ophthalmologica · 2020Article
- Reconstruction of high-resolution 6×6-mm OCT angiograms using deep learning.Biomedical optics express · 2020Article
- Automatic Segmentation of Retinal Capillaries in Adaptive Optics Scanning Laser Ophthalmoscope Perfusion Images Using a Convolutional Neural Network.Translational vision science & technology · 2020Article
- Automated thresholding algorithms outperform manual thresholding in macular optical coherence tomography angiography image analysis.PloS one · 2020Article
- Advances in Doppler optical coherence tomography and angiography.Translational biophotonics · 2019Article
- Signal averaging improves signal-to-noise in OCT images: But which approach works best, and when?Biomedical optics express · 2019Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A novel image processing algorithm based on a modified Bayesian residual transform (MBRT) was developed for the enhancement of morphological and vascular features in optical coherence tomography (OCT) and OCT angiography (OCTA) images. The MBRT algorithm decomposes the original OCT image into multiple residual images, where each image presents information at a unique scale. Scale selective residual adaptation is used subsequently to enhance morphological features of interest, such as blood vessels and tissue layers, and to suppress irrelevant image features such as noise and motion artefacts. The performance of the proposed MBRT algorithm was tested on a series of cross-sectional and enface OCT and OCTA images of retina and brain tissue that were acquired
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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.