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Abstract #4561

Quantitative multi-dimensional assessment of cardiovascular system (qMACS)

Qingle Kong1, Yang Chen1, Junzhou Chen1, Jiayu Xiao2, Anthony G Christodoulou3, Debiao Li4, and Zhaoyang Fan1
1Department of Radiology, University of Southern California, Los Angeles, CA, United States, 2University of Southern California, Los Angeles, CA, United States, 3Department of Radiological Sciences, University of California, Los Angeles, CA, United States, 4Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States

Synopsis

Keywords: Quantitative Imaging, Quantitative Imaging, free‐breathing, ECG-free, multi-contrast

Motivation: A recently developed MACS technique provides exquisite delineation of the structure and motion of the whole heart and aorta. However, it lacks T1, T2 information and is limited in assessing complex vascular and myocardial pathologies.

Goal(s): To develop a quantitative MACS (qMACS) technique by incorporating T1 and T2 mapping into original MACS imaging pipeline.

Approach: The qMACS sequence builds on a multi-tasking imaging framework and stack-of-stars acquisition. Respiratory-resolved T1,T2 maps were generated using dictionary-matching approach.

Results: Free‐breathing and ECG-free 3D quantitative imaging of cardiovascular system in 10 minutes is feasible by proposed qMACS. qMACS measured slightly higher myocardial T1/T2 values than reference methods.

Impact: qMACS is a time-efficient and patient-friendly technique for both quantitative and qualitative imaging of the whole cardioaortic system and may be used as a gatekeeper approach to the diagnosis of a variety of cardiovascular diseases.

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Keywords