Ruixi Zhou1, Xitong Wang2, Junyu Wang2, Fangrong Zong1, Yong Liu1, Yoo Jin Lee3, Michael Salerno2, and Yang Yang3
1Beijing University of Posts and Telecommunications, Beijing, China, 2Stanford University, Stanford, CA, United States, 3University of California, San Francisco, San Francisco, CA, United States
Synopsis
Keywords: Myocardium, Data Acquisition
Motivation: Cine imaging is important for CMR quantification of left ventricular (LV) function, but conventional breath-held techniques are time consuming.
Goal(s): This study aims to improve continuous spiral-based cardiac cine acquisition efficiency.
Approach: A CAIPIRINHA-based SMS imaging using spiral acquisition with respiratory correction and cardiac self-gating strategy is proposed.
Results: By optimizing the phase modulation pattern with robust self-gating signal extraction, cine images covering the whole LV are obtained in approximately 30s free breathing without ECG gating. The proposed technique yielded comparable LVEF to the clinical gold-standard. Although image quality was slightly inferior to the clinical technique, SMS-SPARCS produced diagnostically acceptable image quality.
Impact: This
study furthers our insight into designing phase modulation and reconstruction
techniques for continuous spiral-based multi-slice self-gated
acquisition. This technique improves efficiency of cine acquisition and
does not require ECG or breath-holding.
Background
The
clinical evaluations of cardiac function in CMR relies on breath-held ECG-gated
cine images. However, the traditional method suffers from inefficiency,
necessitating 10-12 breath-holds to cover the whole left ventricle (LV), and is
prone to the introduction of respiratory-motion and ECG-gating artifacts,
especially at 3T. In a previous study, we presented an effective 2D Spiral
Acquisition with Respiratory Correction and Cardiac Self-gating (SPARCS)
technique [1]. To further improve the scan efficiency, we have now developed an
innovative CAIPIRINHA-based Simultaneous Multi-Slice (SMS) SPARCS technique.Methods
The
SMS pattern was developed based on CAIPIRINHA principles [2]. 4 different phase
modulation strategies were evaluated. Firstly, the Hadamard encoding was
utilized to design a 4 spiral interleaves pattern with multi-band (MB) factor of
3, as shown in Figure 1(a). As Hadamard encoding only allows for an even number
interleaf pattern, we further modified the pattern as follows. The phase
modulation φ of
nl (nl = 1, 2, … NL) interleaf at ns slice with MB factor is:$$\varphi_{nl, ns, MB}=\frac{2 \pi(ns-1)(nl-1)}{MB} \quad[\text { Eq. } 1]$$ To
make sure the sum of all NL interleaves can be divided by 2π,
the sum of all the interleaves equals to $$$\frac{\pi(NL-1)NL}{MB}$$$. The
normalization factor can be calculated as $$$\frac{2MB}{(NL-1)NL}$$$. With
a 40 ms temporal resolution for Cine, we designed the phase modulation pattern
based on Eq.1, normalization factor, 5 interleaves and MB = 3, as
shown in Figure 1(b). Then, the normalization factor was doubled to generate
the 3rd pattern in Figure 1(c), and this design allows for more spreading-out
distribution of the spiral trajectories in the FOV. Lastly, we designed the 4th
pattern (Figure 1(d)) by keeping the phase of the first two slices the same as the
3rd pattern, but reversing the phase of the 2nd slice and
assigning it to the 3rd slice. The 4 different phase pattern
designs were demonstrated in an ACR phantom.
Since
the acquisition scheme is continuous and the cardiac motion state is extracted
using a self-gating strategy, to avoid the frequency disruption brought by
sampling pattern, simulation and in-vivo experiment were both performed to test
the rotating angle among every 5 spirals, with golden angle (GA) equals to 137.5º and
49.8º[3] (Figure 2).
As
shown in Figure 3, self-gating cardiac triggers were extracted from sliding-window heart image navigators, facilitating real-time tracking of
cardiac motion. Utilizing the automatically detected ROI around the heart, images from each heartbeat underwent rigid registration for respiratory motion
correction. Subsequently, the registered k-space data were retrospectively
segmented into different cardiac phases. Images from distinct slices were
reconstructed using the SMS-Slice-L1-SPIRiT method [4].
11
volunteers were imaged on a 3T Siemens scanner. The SMS-SPARCS data was
acquired continuously for 10 seconds per slice group using spoiled-GRE-based
spiral trajectories under free-breathing and no ECG-gating. To achieve
comprehensive coverage of the LV, each subject typically underwent 3-4 slice
groups. Conventional breath-hold ECG-gated bSSFP cine images were acquired for
comparison. The results from both the proposed technique and the clinical
standard were evaluated blindly, with grading assigned on a scale of 1 (poor)
to 5 (excellent) by 2 experienced cardiovascular imagers. Additionally, LV
ejection fraction (LVEF) was calculated and compared using Bland-Altman
analysis.Results
A
comparison of the 4 phase modulation patterns is shown in Figure 1, where (c) and (d)
show better image quality than (a) and (b). To make the design more generalizable
for different interleaves and MB factors, the phase pattern in Figure 1(d) was
utilized for later in-vivo experiments. From the simulation part in Figure 2,
there is a clear frequency disruption of GA 137.5º in the cardiac
motion frequency range (0.5 to 2 Hz). This disturbance will seriously affect
the cardiac motion extraction. While a small GA 49.8º has shown good
performance in terms of both spreading-out the spiral interleaves as well as
not affecting the cardiac self-gating extraction.
Cine
images acquired with the proposed SMS-SPARCS technique are compared to the
clinical standard in Figure 4. LVEF calculations show no significant
differences (Figure 5(a)), demonstrating the clinical interchangeability of the two methods. Image quality is slightly lower with the proposed technique (Figure
5(b)), but produced diagnostic quality images.Conclusion
We
have successfully expanded the SPARCS strategy to SMS imaging to further boost
scan efficiency. With 10 seconds of acquisition per slice group, whole LV
coverage cine images can be obtained around 30 seconds of free breathing
without ECG gating.Acknowledgements
This
work is supported by the Fundamental Research Funds for the Central
Universities, China, 2022RC20, National Natural Science Foundation of China,
62201081, and National Institutes of Health, United States, R01 H155962. The
authors acknowledge the help of our research CMR technologists Xudong Liu.References
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