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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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Coronary CTA: stenosis classification and quantification, including automated measures.

Erik Bekkers¹, Justus Roos

¹Department of Radiology, Stanford University Medical Center, 300 Pasteur Drive, Room S-072, Stanford, CA 94305-5105, USA. ebekkers@stanford.edu

Journal of Cardiovascular Computed Tomography

|February 5, 2010

Summary

This summary is machine-generated.

Larger computed tomography (CT) scanners improve accuracy in detecting coronary artery blockages. This review covers coronary CT angiography

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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

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Last Updated: Jun 16, 2026

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

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

Published on: September 22, 2023

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

Published on: August 28, 2018

Area of Science:

Cardiovascular imaging
Radiology
Medical diagnostics

Background:

Advancements in multidetector computed tomography (CT) systems.
Need for accurate quantification of coronary artery obstructive lesions.

Purpose of the Study:

Review the accuracy of coronary CT angiography (CTA) in quantifying obstructive lesions.
Evaluate the extent of coronary artery disease (CAD).
Classify the composition of coronary plaques.

Main Methods:

Review of existing literature on coronary CT angiography (CTA).
Analysis of studies focusing on lesion quantification and plaque characterization.
Examination of outcomes studies and automated quantification techniques.

Main Results:

Increased accuracy in quantifying obstructive coronary lesions with larger CT systems.
CTA is effective in evaluating the extent of coronary artery disease.
Plaque composition can be classified using CTA.
Automated techniques show promise for quantification.

Conclusions:

Coronary CT angiography (CTA) is a valuable tool for assessing coronary artery disease (CAD).
Technological advancements enhance diagnostic accuracy.
Further research into automated quantification is warranted.