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Related Experiment Video

Updated: Jun 12, 2026

A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis

A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis

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Quantification of stenosis severity on multidetector row computed tomography.

Mark J Boogers¹, Joanne D Schuijf

¹Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.

Eurointervention : Journal of Europcr in Collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology

|June 15, 2010

Summary

MDCT imaging offers detailed coronary artery analysis. Current methods for quantifying plaque and luminal narrowing need further automation for comprehensive and efficient assessment.

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A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis

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Semi-Automatic Graphical Tool for Measuring Coronary Artery Spatially Weighted Calcium Score from Gated Cardiac Computed Tomography Images

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Published on: September 22, 2023

Area of Science:

Cardiovascular imaging
Medical imaging analysis

Background:

MDCT provides comprehensive coronary anatomy and atherosclerosis evaluation.
Existing manual or semi-automated algorithms quantify plaque characteristics, including luminal narrowing.

Purpose of the Study:

To highlight the need for further refinement of quantitative CT algorithms.
To advance towards a fully automated analysis of plaque characteristics.

Main Methods:

Review of current quantitative CT algorithms for plaque analysis.
Evaluation of manual and semi-automated approaches.

Main Results:

Feasibility of quantitative algorithms for plaque characterization is demonstrated.
Current algorithms require further refinement for comprehensive analysis.

Conclusions:

Further development of quantitative CT algorithms is indicated.
Enhanced automation is crucial for comprehensive plaque analysis.