Rapid Fire Abstracts
Xitong Wang, MSc
PhD Student
Stanford University
Xitong Wang, MSc
PhD Student
Stanford University
Shen Zhao, PhD
postdoc
Stanford University
Quan Chen, PhD
postdoc
Stanford University
Ruixi Zhou, PhD
Lecturer
Beijing University of Posts and Telecommunications, China (People's Republic)
Junyu Wang, PhD
Postdoctoral Scholar
Stanford University
Sizhuo Liu, PhD
Postdoctoral Scholar
Stanford University
Yang Yang, PhD
Associate Professor
University of California, San Francisco
Michael Salerno, MD, PhD
Cardiology Professor
Stanford University
2 volunteers and 5 patients were imaged on a 3T Siemens scanner pre and post contrast. A 3D variable stack of spirals is acquired consisting of a continuous acquisition with an inversion-recovery RF pulse applied every 4.6 seconds, using one excitation flip angle (FA1) for the first half of the inversion pulses and another excitation flip angle (FA2) for the second half of the inversion pulses (Figure 1) [1,2]. For resolving cardiac motion, we exploit a 500-point fixed spiral navigator of the kz=0 partition (shown in black) to extract the self-gating signal by PCA, then bin the data into different cardiac phases. The spiral navigator is acquired every 6th interleaf.
For T1 mapping (Figure 2), in each R-R interval every stack of spirals volume was combined into a diastolic acquisition window of 30% of RR interval. A dictionary was generated using the acquisition parameters and ranging T1 from 100 to 3000 ms, IR efficiency from 0.9 to 1. For T1 fitting, we generate the dictionary based on two flip angles by K-singular value decomposition from the Bloch simulation time courses with the acquisition parameters. By fitting the three-parameter model of equation using the dictionary learning–reconstructed images, two apparent T1* maps for two flip angles can be obtained and the fitting scheme can also provide a flip-angle scale (β) map. Dictionary learning [3,4] was performed by using OMP and an LSQR solver.
For cine images, we use the last 37.1 ms where the signal in the myocardium has reached the steady-state portion of the inversion recover curve for FA2 = 15 degree (green box in figure 2) post contrast and reconstructed with the 3D DESIRE SPARCS technique, a deep learning reconstruction for 3D cine images.[5]
Results: Figure 3 (a) shows a diastolic frame from the 3D whole heart coverage cine images using the proposed technique. (b) shows the T1* mapping corresponding to 3 degrees and 15 degrees. (c) shows the T1 mapping for this technique for 3D whole heart coverage
Conclusion:
We proposed a strategy to acquire 3D simultaneous cine and T1 mapping using dual-excitation flip-angle stack-of-spiral acquisition with respiratory and cardiac self-gating in 3-minute scan.