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An approach to the three-dimensional display of left ventricular function and viability using MRI
Cory Swingen1, Ravi Teja Seethamraju, Michael Jerosch-Herold
1Department of Radiology, University of Minnesota, Minneapolis, MN 55455, USA.
The International Journal of Cardiovascular Imaging
|November 6, 2003
Summary
Cardiac MRI accurately models the left ventricle (LV) by correcting for diaphragm movement during breath-holds. This technique improves 3D visualization of LV anatomy and function for cardiovascular disease assessment.
Area of Science:
- Cardiovascular Imaging
- Medical Physics
- Biomedical Engineering
Background:
- Cardiac MRI is crucial for assessing left ventricular (LV) anatomy and function.
- Variability in diaphragm position during breath-holds causes misregistration (MSR) in cardiac MRI.
- Accurate anatomical modeling is essential for integrating functional data.
Purpose of the Study:
- To quantify the misregistration (MSR) of cardiac landmarks due to diaphragm position variability.
- To develop and validate a method for correcting MSR in cardiac MRI.
- To enable high-resolution 3D reconstruction and functional mapping of the LV.
Main Methods:
- Cardiac MRI was performed on seven healthy volunteers to assess endocardial centroid MSR.
- A second-order polynomial fit was used to minimize in-plane MSR.
- Short-axis cine images were corrected for MSR to generate an accurate LV anatomical model.
- Parametric maps of myocardial perfusion and viability were registered to the 3D LV model.
Main Results:
- The mean MSR was 3.01 ± 1.68 mm through-plane and 4.16 ± 1.62 mm in-plane.
- The polynomial fit effectively minimized the in-plane MSR.
- High-resolution 2D data allowed for accurate 3D LV anatomical model generation.
- The technique was applied to three cardiovascular disease patients for regional analysis.
Conclusions:
- A 3D reconstruction technique effectively corrects for MSR in cardiac MRI.
- This method allows for accurate 3D visualization of LV anatomy.
- Parametric mapping of myocardial perfusion and viability can be integrated with the 3D model for comprehensive functional assessment.