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SMS-SPARCS: Free-breathing CAIPIRINHA-based SMS cine imaging using Spiral Acquisition with Respiratory correction and Cardiac Self-gating
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

[1] Zhou R, Weller DS, Yang Y, Jacob M, Kramer CM, Ahmed AH, Jacob M, Salerno M. Free-breathing cine imaging with motion‐corrected reconstruction at 3T using SPiral Acquisition with Respiratory correction and Cardiac Self‐gating (SPARCS). Magn. Reson. Med. 2019(82); 706-720.

[2] Breuer F, Blaimer M, Heidemann R, Mueller M, Griswold MA, Jakob PM. Controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) for multi-slice imaging. Magn. Reson. Med. 2005(53); 684-691.

[3] Wundrak S, Paul J, Ulrici J, Hell E, Rasche V. A Small Surrogate for the Golden Angle in Time-Resolved Radial MRI Based on Generalized Fibonacci Sequences. IEEE TMI. 2015(34)6; 1262-1269.

[4] Wang J, Yang Y Weller DS, Zhou R, Houten MV, Sun C, Epstein FH, Meyer C, Kramer CM, Salerno M. High spatial resolution spiral first-pass myocardial perfusion imaging with whole heart coverage at 3T. Magn. Reson. Med. 2021(86); 648-662.

Figures

Figure 1. ACR Phantom experiments comparing 4 phase modulation patterns. The first column displays single-band images at three different slice locations. The second column indicates the multi-band images before phase demodulation acquired with 4 different phase modulation patterns. The last three columns exhibit images at three different slice locations after phase demodulation. As pointed out by the red arrow, the first two phase modulation patterns show some slice leakage and artifact.

Figure 2. Simulation and in-vivo experiments to validate the optimal rotating angle. The simulation shows the simulated signal phase, the signal phase after low-pass filtering, and the corresponding frequency of signal phase using a golden angle of 137.5º and 49.8º. In the frequency range of interest, the energy spectral density of the golden angle at 137.5º is more than 2 times of the one at 49.8º.The in-vivo experiment compares the ECG signal and the extracted cardiac self-gating signal, where the signal from 137.5º exhibits a significant bias in cardiac motion extraction.

Figure 3. Image acquisition and processing pipeline. (a) 3 different slice locations were chosen and each slice was phase modulated with 5 spiral interleaves, rotated by 49.8º. (b) Heart image navigators were generated using a sliding window approach. (c) PCA was used to extract the cardiac motion component based on the navigator. (d) Data from each R-R interval were combined to generate static images and rigid registration was performed to correct respiratory motion between each cardiac cycle. (e) Motion-corrected k-space data underwent retrospective binning and reconstruction.

Figure 4. Image results. Reconstructed end-diastolic and end-systolic frames between the clinically used breath-hold ECG-gated bSSFP method and the proposed SMS-SPARCS technique.

Figure 5. (a) LVEF Bland-Altman plot. (b) Image grades bar plot.

Proc. Intl. Soc. Mag. Reson. Med. 32 (2024)
1671
DOI: https://doi.org/10.58530/2024/1671