This abstract describes a feasibility study for a high-resolution perfusion imaging framework, including a dedicated sampling pattern and a motion compensation framework integrated into temporal regularization and implemented in-line on the scanner with GPU support. The approach was employed successfully in patients with suspected myocarditis at rest, showing superior ability to handle both respiratory and cardiac motion at an image resolution of 1.3 mm2, as compared to a clinical reference perfusion sequence and supported by Late Gadolinium Enhancement imaging findings.
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