Accelerated 3D self-gated cardiac cine imaging at 3T using a tiny golden angle and compressed sensing
Xiaoyong Zhang1,2, Guoxi Xie2, Yanchun Zhu2, Zijun Wei2, Caiyun Shi2, Shi Su2, Fei Yan2, Hairong Zheng2, Bensheng Qiu1, Xin Liu2, and Zhaoyang Fan3

1University of Science and Technology of China, Hefei, China, People's Republic of, 2Shenzhen Institutes of Advanced Technology, Shenzhen, China, People's Republic of, 3Cedars-Sinai Medical Center, Los Angeles, CA, United States

Synopsis

An accelerated self-gating (SG) technique, SparseSG, was developed to realize whole-heart coverage of 3D cardiac cine imaging at 3T without ECG and breath-holding. Preliminary in vivo study demonstrated that a whole heart coverage of 3D cine imaging can be achieved within 1 min and the technique had excellent performance compared to the standard ECG-triggering and conventional SG methods.

Introduction

3D self-gated (SG) cine imaging with TrueFISP not only provides excellent contrast between myocardium and blood, but also eliminates the need for ECG set up and permits free-breathing acquisitions [1]. However, such golden-angle radial sampling-based techniques are commonly used at 1.5 T due to the eddy current and SAR problems as well as time-consuming on data acquisition under the Nyquist sampling criteria. To achieve time-efficient 3T cine imaging, a novel accelerated SG method, named SparseSG, was proposed using a tiny golden angle and compressed sensing [2].

Theory

Theory: A 3D hybrid radial sampling pattern was adopted for the SparseSG [1]. In order to reduce the eddy current effect, a tiny golden angle of 32.039°, instead of 111.246°, was used for data acquisition (Fig.1). After the respiratory and cardiac motions were determined by processing the SG data as [1], the acquired data was retrospectively sorted into different respiratory and cardiac phases. A compressed sensing method exploiting the image sparsity in k-t space by solving a constrained convex optimization problem as Eq. (1) was then used for image reconstruction, thus effectively shortening the scan time and reducing SAR.

$$arg min \left\{{λ ‖T\cdotρ‖_1 }\right\} subject to ‖d-P\cdot F\cdotρ‖_2^2< ε (1)$$

where P is sampling matrix, F is the NUFFT operator defined on the radial acquisition pattern, ρ denotes is the image series to be reconstructed in x-y-t-coil space, d is the acquired radial k-t-coil space data, T is the temporal total-variation (TV) operator (sparsifying transform), imposed on the l1 norm,and λ is the regularization weight that controls the tradeoff between the data consistency and sparsity. The SparseSG reconstruction was initially implemented in MATLAB, using a tailored version of bregman algorithm [3].

Experiment

IRB-approved cardiac imaging was performed on 5 healthy subjects (2M, 3F, age 20~26) at 3T (Siemens Tim Trio, Germany) with a standard 6-channel body coil and a spine coil. Scan parameters included: 3D imaging with standard short-axis, TR=3.8ms, TE =1.9ms, spatial resolution = 1.3×1.3×8.0 mm3, bandwidth =1502 Hz/Pixel, partition number = 10. The acceleration factors were R = 4 and 8, corresponding to scan time 0.76 min and 0.38 min. The standard breath-hold 2D multi-slice ECG-triggering and conventional self-gating methods with the same spatial and temporal resolutions were also conducted for comparison.

Results and discussion

All MR scans were successfully conducted. SparseSG allowed a whole-heart coverage of 3D cine imaging within 1 min, which was much shorter than those of the standard ECG-triggering and conventional SG methods (Fig.2.b). As the acceleration factor increased, the reconstructed cine images of SparseSG become a little blurry. However, the left ventricle ejection fraction (LVEF) and cardiac structure obtained from SparseSG were in good agreement with those from standard ECG-triggering and conventional SG methods, even if a higher acceleration factor R=8 was used (Fig.2.a&c).

Conclusion

An accelerated SG technique, SparseSG, was developed to realize 3D cardiac cine imaging at 3T without ECG and breath-holding. Preliminary in vivo study demonstrated that a whole heart coverage of 3D cine imaging can be achieved within 1 min and the technique had excellent performance compared to the standard ECG-triggering and conventional SG methods. This warrants further evaluation of SparseSG on more volunteers and patients.

Acknowledgements

NSFC No.81120108012, No.81328013, No. 81371537, No.91432301,No. 81571669, No. 61201442 and Shenzhen Funding No. JCYJ20140417113430603, No GJHZ20150316143320494.

References

[1] Liu J, et al. MRM, 2010, 63(5):1230-1237. [2] Wundrak S, et al. 2015.doi: 10.1002/mrm.25831. [3] Goldstein T, et al. Siam J Imaging Sci, 2009;2(2):323-343.

Figures

Fig.1. Diagram of the proposed SparseSG technique. (a) A tiny golden angle of 32.039°, instead of 111.246°, was used in the stack-of-stars sampling trajectories, the dot (·) denotes the SG data; (b) the diagram of the TrueFISP sequence with stack-of-stars sampling trajectories.


Fig.2. (a) Representative images of the diastole (top row) and systole phases (bottom row) on SA view from a subject. (b) Whole heart coverage of 3D cine imaging can be achieved within 1 min by SparseSG. (c) The LVEF obtained by SparseSG was well agreement to the standard ECG-triggering method.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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