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High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

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A method for reconstructing the arterial input function during helical CT: implications for myocardial perfusion

Richard T George¹, Takashi Ichihara, João A C Lima

¹Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, 720 Rutland Ave, 1042 Ross Bldg, Baltimore, MD 21205, USA.

|March 25, 2010

Summary

A new multidetector CT method accurately measures the arterial input function (AIF) during adenosine stress imaging. This technique improves the assessment of myocardial perfusion distribution, aiding in the diagnosis of coronary artery disease.

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In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography

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Published on: February 16, 2016

Area of Science:

Cardiovascular imaging
Radiology
Medical physics

Background:

Accurate measurement of the arterial input function (AIF) is crucial for quantitative myocardial perfusion imaging.
Traditional methods for AIF assessment can be limited in dynamic CT angiography.
Adenosine stress is a common pharmacologic stressor in cardiac CT.

Purpose of the Study:

To evaluate a multidetector computed tomographic (CT) method for accurate AIF measurement during first-pass adenosine stress helical CT angiography.
To assess the impact of this AIF measurement technique on semiquantitative myocardial perfusion distribution analysis.

Main Methods:

Reconstruction of the AIF using a combination of bolus-tracking and time-registered helical multidetector CT data.
Validation of the AIF reconstruction method in healthy animals.
Performance of contrast-enhanced multidetector CT during adenosine infusion in dogs with induced coronary stenosis.
Comparison of myocardial attenuation density (AD) parameters normalized to the AIF with microsphere myocardial blood flow (MBF) measurements.

Main Results:

No significant difference was found between dynamic CT-derived AIF and combined bolus-tracking/helical CT-derived AIF (P = .90).
AIF analysis significantly improved the correlation between MBF and myocardial AD normalized to the AIF (R(2) = 0.82, P <.001).
Myocardial AD normalized to the AIF measured during helical CT showed the strongest correlation with MBF (R(2) = 0.86, P <.001).

Conclusions:

The combined bolus tracking and time-registered helical imaging technique enables reliable AIF reconstruction during multidetector CT perfusion imaging.
This helical CT AIF method enhances the semiquantitative assessment of myocardial perfusion distribution.
This approach holds promise for improved diagnostic accuracy in cardiac CT perfusion studies.