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Related Concept Videos

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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...
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...

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Related Experiment Video

Updated: May 22, 2026

Semi-Automatic Graphical Tool for Measuring Coronary Artery Spatially Weighted Calcium Score from Gated Cardiac Computed Tomography Images
06:57

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

Published on: September 22, 2023

Deep Learning-Based Automated Coronary Plaque Quantification with Ultra-high Resolution Photon-Counting Detector CT

Yuhao Liu1, Rui Li2, Huairong Zhang2

  • 1Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China (Y.L., R.L., H.Z., X.M., Y.C., Y.N., L.Z.); Department of Medical Imaging, Baoji Central Hospital, Baoji, China (Y.L.).

Academic Radiology
|May 20, 2026
PubMed
Summary

Ultra-high resolution photon-counting detector CT (PCD-CT) improves coronary artery image sharpness and reduces overestimation of plaque volume and stenosis severity in calcified lesions. This enhanced resolution is crucial for accurate coronary artery disease risk stratification.

Keywords:
Coronary artery diseaseCoronary computed tomography angiographyPhoton-counting detector CTPlaque quantificationUltra-high-resolution

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Novel Quantification Protocol for Cardiovascular Calcification Progression Using Longitudinal MicroPET/MicroCT Images

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Last Updated: May 22, 2026

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

Novel Quantification Protocol for Cardiovascular Calcification Progression Using Longitudinal MicroPET/MicroCT Images
08:02

Novel Quantification Protocol for Cardiovascular Calcification Progression Using Longitudinal MicroPET/MicroCT Images

Published on: November 15, 2024

Area of Science:

  • Medical Imaging
  • Cardiovascular Imaging
  • Photon-Counting Detector CT

Background:

  • Coronary artery disease (CAD) diagnosis relies on accurate imaging.
  • Photon-counting detector CT (PCD-CT) offers potential for improved spatial resolution.
  • Assessing the impact of varying spatial resolutions on image quality and deep learning (DL) quantification is critical.

Purpose of the Study:

  • To evaluate how different spatial resolutions from PCD-CT affect image quality.
  • To assess the impact of spatial resolution on DL-based quantification of coronary stenosis and plaque volumes.
  • To determine the optimal spatial resolution for reliable CAD assessment.

Main Methods:

  • Prospective study of 70 patients with suspected CAD undergoing ultra-high resolution CT angiography (UHR-CCTA) on a PCD-CT system.
  • CCTA datasets reconstructed at standard (0.6 mm), high (0.4 mm), and ultra-high (0.2 mm) resolutions.
  • Subjective image quality assessed by radiologists; DL tool quantified stenosis and plaque volumes.

Main Results:

  • Higher spatial resolution improved vessel sharpness and plaque visualization but increased perceived noise.
  • DL-based stenosis quantification showed a decreasing trend with increasing resolution for calcified plaques (P=0.011).
  • Median plaque volume significantly decreased with increasing spatial resolution (P<0.001).

Conclusions:

  • Ultra-high resolution PCD-CT enhances image quality and reduces DL-based overestimation of stenosis and plaque volume in calcified lesions.
  • Resolution-dependent variability in quantification necessitates careful consideration for CAD risk stratification.
  • Superior spatial resolution of UHR PCD-CT aids in more accurate assessment of coronary lesions.