Evidence map›Paper›PMID 39199759›Full record

ArticleBioengineering (Basel, Switzerland)2024

Near-Infrared Forearm Vascular Width Calculation Using Radius Estimation of Tangent Circle.

Qianru Ji, Haoting Liu, Zhen Tian, Song Wang, Qing Li, Dewei Yi

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Qianru JiBeijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Haoting LiuBeijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0003-2537-6138
Zhen TianBeijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Song WangDepartment of Nephrology, Peking University Third Hospital, Beijing 100191, China.ORCID 0000-0001-6982-6220
Qing LiBeijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0002-6361-5008
Dewei YiDepartment of Computing Science, University of Aberdeen, Aberdeen AB24 3UE, UK.ORCID 0000-0003-1702-9136

Funding

Foundation of National Key Laboratory of Human Factors Engineering HFNKL2023WW11Fundamental Research Fund for the China Central Universities of USTB FRF-BD-19-002AFund of Science and Technology on Near-Surface Detection Laboratory 6142414221403Guangdong Basic and Applied Basic Research Foundation 2023A1515010275National Natural Science Foundation of China 62373042
6 · The paper itself

Abstract

In response to the analysis of the functional status of forearm blood vessels, this paper fully considers the orientation of the vascular skeleton and the geometric characteristics of blood vessels and proposes a blood vessel width calculation algorithm based on the radius estimation of the tangent circle (RETC) in forearm near-infrared images. First, the initial infrared image obtained by the infrared camera is preprocessed by image cropping, contrast stretching, denoising, enhancement, and initial segmentation. Second, the Zhang-Suen refinement algorithm is used to extract the vascular skeleton. Third, the Canny edge detection method is used to perform vascular edge detection. Finally, a RETC algorithm is developed to calculate the vessel width. This paper evaluates the accuracy of the proposed RETC algorithm, and experimental results show that the mean absolute error between the vessel width obtained by our algorithm and the reference vessel width is as low as 0.36, with a variance of only 0.10, which can be significantly reduced compared to traditional calculation measurements.

Indexed as

APSLSE image segmentationedge detectiongeometric characteristicsimage enhancementnear-infrared imageradius estimation of tangent circle (RETC)skeleton extractionvascular width

Identifiers

PMID39199759
PMCPMC11351500

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.