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Related Concept Videos

Endoscopic Procedures III: Video Capsule Endoscopy01:28

Endoscopic Procedures III: Video Capsule Endoscopy

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Capsule endoscopy, or wireless or video capsule endoscopy, is a diagnostic procedure for examining the entire gastrointestinal tract. Patients swallow a capsule about the size of a vitamin tablet. The capsule is equipped with a transmitter, a battery, an LED light source, and a color video camera to capture images throughout the gastrointestinal tract. This procedure is particularly useful for diagnosing conditions such as Crohn's disease, ulcerative colitis, tumors, polyps, ulcers,...
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A Reproducible Computerized Method for Quantitation of Capillary Density using Nailfold Capillaroscopy
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Automated Stabilization, Enhancement and Capillaries Segmentation in Videocapillaroscopy.

Vincenzo Taormina1, Giuseppe Raso2, Vito Gentile2

  • 1Department of Mathematics and Informatics, University of Palermo, 90128 Palermo, Italy.

Sensors (Basel, Switzerland)
|September 28, 2023
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Summary
This summary is machine-generated.

This study introduces a computerized system to improve oral capillaroscopy for analyzing microcirculation. The system enhances image quality and automatically segments capillaries, aiding in disease diagnosis.

Keywords:
U-netcapillaries segmentationcapillaroscopydeep learningmicrocirculationsignal enhancementvideo stabilization

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Microcirculation Analysis

Background:

  • Oral capillaroscopy is vital for non-invasive microcirculation assessment in diagnosing pathologies.
  • Current videocapillaroscopy in the oral cavity faces limitations in resolution, magnification, and operator influence.
  • Anatomical-pathological lesions are key factors in disease progression observed via capillaroscopy.

Purpose of the Study:

  • To develop a computerized support system to overcome limitations in oral capillaroscopy.
  • To enhance the reliability and accuracy of microcirculation analysis in oral mucosal video sequences.
  • To improve the diagnostic and prognostic capabilities of oral capillaroscopy.

Main Methods:

  • A computerized system was developed for stabilization, enhancement, and automatic capillary segmentation.
  • Stabilization utilized a seed point coupling method within a classification process.
  • Enhancement involved temporal analysis of frames, and segmentation employed U-net deep network transfer learning.

Main Results:

  • The system achieved a Jaccard index of 90.1% and an accuracy of 96.2% in capillary segmentation.
  • Quantitative assessment confirmed significant signal improvement through the developed techniques.
  • The method demonstrated high effectiveness in analyzing oral capillaroscopy data.

Conclusions:

  • The developed computerized system significantly improves oral capillaroscopy analysis.
  • This technology can assist in diagnosing and monitoring conditions affecting microcirculation, like rheumatologic and cardiovascular disorders.
  • The findings support the broader clinical adoption of advanced oral capillaroscopy techniques.