Evidence map›Paper›PMID 30873765›Full record

ArticleJournal of biomedical optics2019

Slope-based segmentation of articular cartilage using polarization-sensitive optical coherence tomography phase retardation image.

Xin Zhou, Myeong Jin Ju, Lin Huang, Shuo Tang

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xin ZhouUniversity of British Columbia, Department of Electrical and Computer Engineering, Vancouver, Britis, Canada.
Myeong Jin JuSimon Fraser University, School of Engineering Science, Burnaby, British Columbia, Canada.
Lin HuangUniversity of British Columbia, Department of Electrical and Computer Engineering, Vancouver, Britis, Canada.
Shuo TangUniversity of British Columbia, Department of Electrical and Computer Engineering, Vancouver, Britis, Canada.

Funding

CIHR CPG-151974
6 · The paper itself

Abstract

A segmentation method based on phase retardation measurements from polarization-sensitive optical coherence tomography (PS-OCT) is developed to differentiate the structural zones of articular cartilage. The organization of collagen matrix in articular cartilage varies over the different structural zones, generating different tissue birefringence. Analyzing the slope of the accumulated phase retardation at different depths can detect the variation in tissue birefringence and be used to segment the structural zones. The method is validated on phantoms composed of layers of different materials. Articular cartilage samples from adult swine are segmented with the method. The characteristics in each segmented zone are also examined by histology and high-resolution second-harmonic generation imaging, showing distinctive properties that match with the anatomical structure of articular cartilage. The segmentation algorithm is also applied on PS-OCT images acquired at multiple illumination angles, where the angular dependence of tissue birefringence in the deep zone is detected. This method offers a noninvasive imaging approach to differentiating the structural zones of articular cartilage, as well as a quantification approach based on the phase retardation measurements of PS-OCT. This method has great potential in studying depth-related progression of cartilage degeneration.

Indexed as

AlgorithmsAnimalsBirefringenceCartilage, ArticularChickensImage Processing, Computer-AssistedMuscle, SkeletalPhantoms, ImagingSwineTomography, Optical Coherencearticular cartilagephase retardationpolarization-sensitive optical coherence tomographysegmentation

Identifiers

PMID30873765
PMCPMC6975236

What OpenQuestion holds

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Registered trials

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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.