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Quantitative micro-CT based coronary artery profiling using interactive local thresholding and cylindrical

Daniele Panetta1, Gualtiero Pelosi1, Federica Viglione1

  • 1CNR Institute of Clinical Physiology, Pisa, Italy.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|September 28, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new micro-CT imaging method for detailed analysis of coronary atherosclerosis (ATS). The technique offers reliable, contrast-agent-free profiling of artery walls, aiding preclinical research.

Keywords:
Micro-CTartery segmentationcylindrical coordinatesexperimental atherosclerosishistomorphometry

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Area of Science:

  • Biomedical Imaging
  • Cardiovascular Research
  • Preclinical Atherosclerosis Models

Background:

  • Micro-computed tomography (micro-CT) is valuable for high-resolution vascular imaging.
  • Existing micro-CT metrics are insufficient for comprehensive atherosclerosis evaluation.
  • Atherosclerosis (ATS) research requires advanced imaging quantification methods.

Purpose of the Study:

  • To develop a novel micro-CT image processing approach for coronary ATS.
  • To enable comprehensive visualization and quantification of artery walls.
  • To provide contrast agent-free, high-resolution 3D reconstructions.

Main Methods:

  • Accelerated coronary ATS induced in swine.
  • Micro-CT scanning and histological processing of coronary arteries.
  • Cylindrical coordinate system and semi-automatic segmentation for analysis.

Main Results:

  • Micro-CT reliably distinguished arterial wall layers and plaque components.
  • Histology validated micro-CT findings with high correlations (R2 > 0.90).
  • Semi-automatic morphometry showed strong agreement with manual methods (R2 > 0.92).

Conclusions:

  • The described micro-CT methodology is a reliable tool for coronary artery profiling.
  • It supports quantitative, high-resolution, contrast-agent-free analysis.
  • This approach links in vivo imaging with histology in preclinical ATS models.