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Updated: Mar 12, 2026
In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
Temporal averaging for analysis of four-dimensional whole-heart computed tomography perfusion of the myocardium:
1Department of Radiology, Charite Medical School Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Insights
Four-dimensional (4D) whole-heart computed tomography perfusion (CTP) is feasible for assessing myocardial perfusion. Temporal averaging of CTP datasets enhances image quality and visualization of perfusion defects.
Area of Science:
- Cardiology
- Radiology
- Medical Imaging
Background:
- Coronary artery disease (CAD) diagnosis relies on accurate myocardial perfusion assessment.
- Four-dimensional (4D) computed tomography perfusion (CTP) offers dynamic imaging of the heart.
- Temporal averaging may improve the quality of 4D CTP data.
Purpose of the Study:
- To evaluate the feasibility of 4D whole-heart CTP for myocardial perfusion.
- To determine the added value of temporal averaging of CTP datasets for analysis.
- To compare 4D CTP with magnetic resonance myocardial perfusion imaging (MR MPI).
Main Methods:
- 30 patients with suspected or known CAD underwent 320-row coronary CT angiography (CTA) and myocardial CTP.
- CTP involved dynamic imaging during adenosine infusion over 20±3 heartbeats.
- Temporal averaging was applied to combinations of 2, 3, 4, 6, and 8 consecutive 3D datasets.
Main Results:
- 4D whole-heart CTP was feasible in all patients; temporal averaging was successfully implemented.
- Averaging three consecutive datasets yielded optimal image quality parameters (noise, SNR, CNR, subjective quality, diagnostic accuracy).
- Temporal averaging improved SNR by 2.2-fold and CNR by 1.3-fold; 9 of 11 MR MPI defects were visible on 4D CTP.
Conclusions:
- Whole-heart 4D CTP is a feasible technique for myocardial perfusion imaging.
- Temporal averaging of dynamic CTP datasets enhances image quality and visualization of perfusion defects.
- Further research is needed to establish the quantitative value of temporal averaging in CTP perfusion parameters.
Abstract:
To assess the feasibility of four-dimensional (4D) whole-heart computed tomography perfusion (CTP) of the myocardium and the added value of temporal averaging of consecutive 3D datasets from different heartbeats for analysis. We included 30 patients with suspected or known coronary artery disease (CAD) who underwent 320-row coronary CT angiography (CTA) and myocardial CTP. Out of these, 15 patients underwent magnetic resonance myocardial perfusion imaging (MR MPI). All CTP examinations were initiated after 3 min of intravenous infusion of adenosine (140 µg/kg/min) and were performed dynamically covering the entire heart every heart beat over a period of 20 ± 3 heart beats. Temporal averaging for dynamic CTP visualisation was analysed for the combination of two, three, four, six, and eight consecutive 3D datasets. Input time attenuation curves (TAC) were delivered from measurement points in the centre of the left ventricle. In all 30 patients, myocardial 4D CTP was feasible and temporal averaging was successfully implemented for all planned combinations of 3D datasets. Temporal averaging of three consecutive 3D datasets showed best performance in the analysis of all CTP image quality parameters: noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), subjective image quality, and diagnostic accuracy with an improvement of SNR and CNR by a factor of 2.2 ± 1.3 and 1.3 ± 0.9. With increasing level of temporal averaging, the input TACs became smoother, but also shorter. Out of the 11 perfusion defects detected with MR MPI, 9 defects were also visible on the 4D CTP images. Whole-heart CTP of the myocardium is feasible and temporal averaging of dynamic datasets improves quantitative image quality parameters and visualization of perfusion defects while further studies are needed to assess its added value for quantification of perfusion parameters.
