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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...

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Updated: Oct 4, 2025

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Published on: September 22, 2023

Post-processing calcium subtraction method to minimize stenosis-overestimation by blooming artifact.

Jung-Hun Kim^1,1, Ji-Eun Park^2,3,1, Jong-Min Lee⁴

¹Bio-Medical Research institute, Kyungpook National University Hospital, Korea.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine

|February 6, 2022

Summary

A new CT post-processing method using Gaussian filters and K-mean clustering (GK) accurately measures arterial calcification and lumen size. This non-intrusive GK method offers improved accuracy over traditional multiplanar reconstruction (MPR) for diagnosing stenosis.

Keywords:

CT artifact Calcium blooming blooming artifact calcium subtraction subtraction imaging

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Area of Science:

Medical Imaging
Radiology
Cardiovascular Disease

Background:

Computed tomography (CT) imaging can exhibit blooming artifacts.
These artifacts lead to overestimation of calcification stenosis.
Accurate diagnosis of vascular disease is impeded by these imaging limitations.

Purpose of the Study:

To develop an improved CT post-processing method.
The goal is to accurately measure calcium and lumen size in blood vessels.
This aims to overcome blooming artifact limitations in CT images.

Main Methods:

A novel method combining Gaussian filters and K-mean clustering (GK) was developed.
Six hundred and thirty calcium datasets from 63 patients were analyzed.
Statistical analyses included ANOVA, linear regression, and ICC to compare GK with invasive coronary angiography (ICA) and multiplanar reconstruction (MPR).

Main Results:

The GK method showed no significant difference compared to ICA.
Linear regression revealed a high correlation between GK and ICA (R2 = 0.885).
GK demonstrated a significantly higher correlation than MPR (R2 = 0.432), with high reproducibility.

Conclusions:

The GK post-processing method provides accurate measurements similar to ICA.
GK is a more effective and non-intrusive alternative to MPR for assessing arterial stenosis.
This method enhances diagnostic accuracy for vascular calcification and stenosis.