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Updated: Jan 28, 2026

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Published on: December 19, 2013
How to detect and correct myocardial creep in myocardial perfusion imaging using Rubidium-82 PET?
S S Koenders1,2, J D van Dijk3, P L Jager3
1Department of Nuclear Medicine, Isala hospital, PO Box 10400, 8000 GK, Zwolle, The Netherlands. skoenders93@gmail.com.
Abstract:
Reliability of myocardial blood flow (MBF) quantification in myocardial perfusion imaging (MPI) using PET can majorly be affected by the occurrence of myocardial creep when using pharmacologically induced stress. In this paper, we provide instructions on how to detect and correct for myocardial creep. For example, in each time frame of the PET images the myocardium contour and the observed activity have to be compared to check for misalignments. In addition, we provide an overview of the functionality of commonly used software packages to perform this quality control step as not all software packages currently provide this functionality. Furthermore, important clinical considerations to obtain accurate MBF measurements are given.
Insights
This study addresses myocardial creep, a common issue in cardiac PET imaging that affects blood flow measurements. We offer methods to detect and correct this artifact for more reliable myocardial perfusion imaging results.
Area of Science:
- Nuclear medicine
- Cardiovascular imaging
- Medical physics
Background:
- Myocardial perfusion imaging (MPI) using Positron Emission Tomography (PET) is crucial for assessing heart health.
- Quantification of myocardial blood flow (MBF) is vital for accurate diagnosis.
- Myocardial creep, a motion artifact, can significantly compromise MBF accuracy during pharmacologically induced stress.
Purpose of the Study:
- To provide clear instructions for detecting and correcting myocardial creep in PET MPI.
- To evaluate the capabilities of current software packages in addressing this quality control issue.
- To offer guidance on essential clinical considerations for precise MBF quantification.
Main Methods:
- Detailed comparison of myocardium contours and observed activity across PET image time frames to identify misalignments.
- Review and analysis of functionalities within common MPI software packages for myocardial creep detection.
- Compilation of clinical best practices for optimizing MBF measurements.
Main Results:
- Established methods for identifying myocardial creep by analyzing temporal changes in myocardial contours and activity distribution.
- Identified variability in software support for myocardial creep correction, highlighting a need for improved functionality.
- Outlined key clinical factors influencing MBF accuracy, emphasizing the importance of standardized protocols.
Conclusions:
- Myocardial creep is a significant confounder in PET MPI that requires specific detection and correction strategies.
- Standardized quality control measures, including software enhancements, are necessary for reliable MBF quantification.
- Adherence to clinical guidelines is paramount for achieving accurate and reproducible myocardial blood flow assessments.
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