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Assessment of radial pulse

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

Qianru Ji1, Haoting Liu1, Zhen Tian1

  • 1Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Bioengineering (Basel, Switzerland)
|August 29, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm for calculating forearm blood vessel width using near-infrared imaging. The radius estimation of the tangent circle (RETC) method offers improved accuracy over traditional techniques.

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

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Vascular Biology

Background:

  • Accurate measurement of forearm blood vessel width is crucial for assessing vascular health.
  • Existing methods for vessel width calculation may lack precision, particularly concerning vessel orientation and geometric characteristics.

Purpose of the Study:

  • To propose and evaluate a novel blood vessel width calculation algorithm for forearm near-infrared images.
  • To improve the accuracy of vessel width measurement by considering vascular skeleton orientation and geometric features.

Main Methods:

  • Preprocessing of near-infrared images including cropping, contrast stretching, denoising, enhancement, and segmentation.
  • Extraction of the vascular skeleton using the Zhang-Suen refinement algorithm.
  • Vascular edge detection via the Canny edge detection method.
  • Development and application of the radius estimation of the tangent circle (RETC) algorithm for vessel width calculation.

Main Results:

  • The proposed RETC algorithm demonstrated high accuracy in calculating forearm blood vessel width.
  • Experimental results showed a mean absolute error of 0.36 and a variance of 0.10.
  • The RETC algorithm significantly reduced errors compared to traditional measurement methods.

Conclusions:

  • The RETC algorithm provides a more accurate and reliable method for measuring forearm blood vessel width from near-infrared images.
  • This algorithm's consideration of vascular geometry and orientation enhances its clinical applicability.
  • The findings suggest potential for improved diagnostic capabilities in vascular health assessment.