ArticleOptics express2019
High-speed collagen fiber modeling and orientation quantification for optical coherence tomography imaging.
Article in Optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 22 citations in OpenAlex.
- Segmentation-free Radon transform algorithm to detect orientation and size of tissue structures in multiphoton microscopy images.Journal of biomedical optics · 2025Article
- Whole cervix imaging of collagen, muscle, and cellularity in term and preterm pregnancy.Nature communications · 2024Article
- Fourier transform-based method for quantifying the three-dimensional orientation distribution of fibrous units.Scientific reports · 2024Article
- Collagen Fibril Orientation in Tissue Specimens From Atherosclerotic Plaque Explored Using Small Angle X-Ray Scattering.Journal of biomechanical engineering · 2022Article
- Nondestructive testing of native and tissue-engineered medical products: adding numbers to pictures.Trends in biotechnology · 2022Review
- Predicting the Effect of Localized ACL Damage on Neighbor Ligament Mechanics via Finite Element Modeling.Bioengineering (Basel, Switzerland) · 2022Article
- Computational multi-directional optical coherence tomography for visualizing the microstructural directionality of the tissue.Biomedical optics express · 2021Article
- 3-D compressed sensing optical coherence tomography using predictive coding.Biomedical optics express · 2021Article
- Full-Range Optical Imaging of Planar Collagen Fiber Orientation Using Polarized Light Microscopy.BioMed research international · 2021Article
- The zonal evolution of collagen-network morphology quantified in early osteoarthritic grades of human cartilage.Osteoarthritis and cartilage open · 2020Article
- Three-dimensional collagen fiber mapping and tractography of human uterine tissue using OCT.Biomedical optics express · 2020Article
- General method for classification of fiber families in fiber-reinforced materials: application to in-vivo human skin images.Scientific reports · 2020Article
- High-resolution 3D tractography of fibrous tissue based on polarization-sensitive optical coherence tomography.Experimental biology and medicine (Maywood, N.J.) · 2020Review
- Optical coherence tomography imaging of cardiac substrates.Quantitative imaging in medicine and surgery · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Quantifying collagen fiber architecture has clinical and scientific relevance across a variety of tissue types and adds functionality to otherwise largely qualitative imaging modalities. Optical coherence tomography (OCT) is uniquely suited for this task due to its ability to capture the collagen microstructure over larger fields of view than traditional microscopy. Existing image processing techniques for quantifying fiber architecture, while accurate and effective, are very slow for processing large datasets and tend to lack structural specificity. We describe here a computationally efficient method for quantifying and visualizing collagen fiber organization. The algorithm is demonstrated on swine atria, bovine anterior cruciate ligament, and human cervical tissue samples. Additionally, we show an improved performance for images with crimped fiber textures and low signal to noise when compared to similar methods.
Identifiers
What OpenQuestion holds
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.