Automated Quantitative Stress Perfusion in a Clinical Routine

Area of Science:

• Cardiovascular imaging
• Medical diagnostics

Background:

• Cardiovascular magnetic resonance (CMR) perfusion imaging is a key noninvasive tool for assessing ischemia in patients with coronary artery disease (CAD).
• While qualitative and semiquantitative CMR methods demonstrate high accuracy for diagnosing flow-obstructing lesions, quantitative assessment of ischemic burden is crucial for treatment decisions.

Purpose of the Study:

• To highlight the evolution and clinical utility of quantitative CMR perfusion techniques.
• To emphasize the role of automated methods in improving workflow and generating myocardial blood flow maps.

Main Methods:

• Quantitative cardiovascular magnetic resonance (CMR) perfusion imaging.
• Comparison with positron emission tomography (PET) and microsphere evaluation.
• Development and implementation of automated methods for pixel-based myocardial blood flow mapping.

Main Results:

• Quantitative CMR perfusion techniques have achieved accuracy comparable to established methods like PET and microsphere evaluation.
• Automated methods significantly accelerate workflow and facilitate the generation of detailed myocardial blood flow maps.

Conclusions:

• Quantitative CMR perfusion imaging is a highly accurate method for assessing ischemic burden in CAD.
• Automated quantitative techniques are enhancing the clinical applicability of CMR perfusion imaging for patient management.