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Robust motion correction in the frequency domain of cardiac MR stress perfusion sequences
Vikas Gupta1, Martijn van de Giessen, Hortense Kirişli
1Division of Image Processing, Leiden University Medical Center, The Netherlands.
Abstract:
First-pass cardiac MR perfusion (CMRP) imaging allows identification of hypo-perfused areas in the myocardium and therefore helps in early detection of coronary artery disease (CAD). However, its efficacy is often limited by respiratory motion artifacts, especially in stress-induced sequences. These distortions lead to unreliable estimates of perfusion linked parameters, such as the myocardial perfusion reserve index (MPRI). We propose a novel, robust motion correction method that suppresses motion artifacts in the frequency domain. The method is validated using rest and stress perfusion datasets of 10 patients and is compared to a state-of-the-art independent component analysis based method. Contrary to the latter, the proposed method reduces the remaining motion to less than the pixel size and allows the reliable computation of the MPRI. The strong agreement between perfusion parameters based on expert contours and after applying the proposed method enables the near-automated quantitative analyses of stress MR perfusion sequences in a clinical setting.
Insights
This study introduces a new method to reduce motion artifacts in cardiac MRI perfusion scans, improving the accuracy of coronary artery disease detection and myocardial perfusion reserve index calculations.
Area of Science:
- Cardiovascular Imaging
- Medical Physics
- Biomedical Engineering
Background:
- First-pass cardiac MR perfusion (CMRP) imaging is crucial for detecting myocardial hypoperfusion and coronary artery disease (CAD).
- Respiratory motion artifacts significantly degrade CMRP image quality, leading to inaccurate perfusion parameter estimations like the myocardial perfusion reserve index (MPRI).
Purpose of the Study:
- To develop and validate a novel, robust frequency-domain motion correction method for CMRP imaging.
- To improve the reliability of MPRI quantification in stress-induced perfusion sequences.
Main Methods:
- A novel frequency-domain motion correction technique was developed to suppress respiratory motion artifacts.
- The method was validated on rest and stress CMRP datasets from 10 patients.
- Performance was compared against an independent component analysis (ICA)-based method.
Main Results:
- The proposed method effectively reduced motion artifacts to sub-pixel levels.
- Reliable computation of the myocardial perfusion reserve index (MPRI) was achieved.
- Strong agreement was observed between expert-defined contours and the proposed method's results.
Conclusions:
- The novel motion correction method significantly enhances the reliability of quantitative analysis in stress CMRP.
- This approach enables near-automated quantitative analysis of stress MR perfusion sequences in clinical settings.
- Improved accuracy in MPRI calculation aids in early and reliable detection of coronary artery disease.
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