Rapid Fire Abstracts
Qingle Kong, PhD
Post Doc
University of Southern California
Qingle Kong, PhD
Post Doc
University of Southern California
Yang Chen, MSc
Phd student
University of Southern California
Junzhou Chen, MSc
Phd student
University of Southern California
Jiayu Xiao, MD
Post Doc
University of Southern California
Anthony G. Christodoulou, PhD
Assistant Professor
University of California, Los Angeles (UCLA)
Debiao Li, PhD
Professor
Cedars Sinai Medical Center
John C. Wood, MD, PhD
Professor
University of Southern California
Zhaoyang Fan, PhD
Professor
University of Southern California
Imaging assessment of the cardiac and aortic structure and function is a key component for diagnosis, risk stratification, and procedural planning in patients with cardiovascular diseases. MR is a versatile imaging modality and holds great potential for comprehensive cardioaortic imaging. We recently introduced an MR Multitasking1 based 3D multi-dimensional assessment of cardiovascular system (MACS) technique to provide cardiac phase-resolved, multi-contrast imaging of the whole heart and thoracic aorta in a single scan without the need for ECG triggering or respiratory navigation2,3. However, MACS lacks T1 and T2 mapping and is thus limited in assessing complex vascular and myocardial pathologies. In this work, a quantitative MACS (qMACS) technique was developed to produce T1, T2 maps and co-registered bright blood, dark blood, gray blood anatomical and cine images in a single 10-minute ECG-less, free-breathing scan.
Methods: The qMACS technique resolves respiratory and cardiac motion and provides a wide range of contrast weightings, multi-contrast cine images, and T1 and T2 maps by repeating a magnetization-prepared (inversion-recovery [IR], T2 prepared IR, and T2 preparation) spoiled gradient echo readout series with tiny-golden-angle stack-of-stars k-space sampling and adopting the MR Multitasking imaging framework (Fig. 1). A dictionary based matching method is used for T1 and T2 mapping4. The performance of the technique was assessed through phantom studies and in-vivo studies of 12 healthy volunteers and 3 patients.
Results: Fig. 2A shows images of the ventricular chambers (coronal view and short axis view [SAX]) and thoracic aorta (candy-cane view) at the mid-diastolic end-expiration phase in a representative healthy subject. A comparison of the proposed 3D qMACS multi-contrast cine images with breath-hold 2D cine images from a healthy subject is shown in Fig. 2B. Phantom results shown in Fig. 3A demonstrated good quality of qMACS maps. Substantial correlation (R = 0.98/0.99 for T1/T2) and agreement (ICC = 0.99/1.0 for T1/T2) were found between qMACS and reference measurements (Fig. 3B). Fig. 3C shows a comparison between reference and qMACS maps of 3 subjects in different views. Septal T1 values using the proposed approach (1271 ± 42 ms) were higher than those from a 2D MOLLI sequence (1203 ± 28 ms), which is known to underestimate T1, while T2 values from the proposed approach (37 ± 2 ms) were in good agreement with those from a 2D T2-prep GRE sequence (41 ± 2ms). Moreover, end-diastolic volume, end-systolic volume, and ejection fraction measurements from qMACS were in good agreement with those from 2D cine imaging (Fig. 2CD).
Conclusion: This work demonstrates the technical feasibility of multi-contrast qualitative and quantitative imaging of the cardioaortic system with a 10- minute ECG-less, free-breathing scan. Clinical validation in patients with diverse cardiovascular diseases is warranted.