Quantitative pixelwise myocardial perfusion maps from first-pass perfusion MRI.

Area of Science:

• Cardiovascular Imaging
• Medical Physics
• Radiology

Background:

• Myocardial perfusion MRI is crucial for diagnosing and managing ischemic heart disease.
• Accurate quantification of myocardial blood flow is essential for assessing the severity of perfusion defects.
• Current methods may lack detailed spatial resolution or quantitative accuracy.

Purpose of the Study:

• To develop and evaluate absolute quantitative myocardial perfusion maps using rest first-pass perfusion MRI.
• To assess the feasibility and accuracy of these quantitative maps compared to traditional sector-based evaluations.
• To explore the utility of quantitative maps in identifying and characterizing perfusion abnormalities.

Main Methods:

• Rest first-pass perfusion MRI was performed on 10 post-revascularization myocardial infarction patients and 12 healthy volunteers.
• Quantitative myocardial perfusion maps were generated using a deconvolution technique.
• Results from the quantitative maps were compared with sector-based quantification findings.

Main Results:

• Quantitative perfusion maps were calculated rapidly, typically within 3 minutes per slice.
• Myocardial blood flow values in volunteers showed no statistical difference between map-based (0.51 ± 0.16 ml/g/min) and sector-based (0.52 ± 0.15 ml/g/min) evaluations.
• All perfusion defects identified visually in patients were accurately reproduced in the quantitative maps.

Conclusions:

• Absolute quantitative myocardial perfusion maps can be reliably calculated from first-pass perfusion MRI.
• These maps offer enhanced information on the transmural extent of perfusion defects compared to visual assessment.
• Voxelwise analysis provides a valuable tool for clinicians to assess tissue damage and present findings clearly.