Rapid MRI
Lexiaozi Fan, MSc
PhD Candidate
Northwestern University
Chicago, Illinois, United States
KyungPyo Hong, PhD
Research Associate
Northwestern University
Chicago, Illinois, United States
Jeremy D. Collins, MD
Professor of Radiology
Mayo Clinic
Rochester, Minnesota, United States
Amit R. Patel, MD
Professor
University of Virginia Health System
Charlottesville, Virginia, United States
Daniel C. Lee, MD
Associate Professor of Medicine (Cardiology) and Radiology
Northwestern University
Chicago, Illinois, United States
Dan Kim, MD, MS
Cardiology Fellow
Loyola University Medical Center
Streamwood, Illinois, United States
Breath-held (BH) cardiac cine MRI with gradient echo readout is the current standard for imaging patients with a cardiac implantable electronic device (CIED). Because these patients frequently have arrhythmias with limited BH ability, free-breathing real-time (FB-RT) cine MRI may be desirable to overcome image artifacts arising from arrhythmia and/or respiratory motion. We had previously described a 16-fold accelerated FB-RT cine using Cartesian k-space sampling and compressed-sensing (CS)[1], which produced accurate LV volumes and functional measurements. This pulse sequence, however, was limited by blurring artifacts arising from high data acceleration. We sought to develop and evaluate a 32-fold accelerated cine using a combination of radial k-space sampling, view-sharing (VS), and k-space weighted image contrast (KWIC)[2] filtering in patients with CIEDs.
Methods:
MRI: We enrolled 12 patients with a CIED (8 men, mean age=67.3 ± 10.5 yrs) and performed 3 different cine scans: standard clinical BH, previously described 16-fold accelerated FB-RT cine using Cartesian k-space sampling, and the proposed FB-RT cine using radial k-space sampling. All imaging was performed on a 1.5T MRI scanner (Avanto, Siemens). The relevant imaging parameters are shown in Figure 1-(a) and referred to [1,3] for other parameters.
Image Reconstruction: For radial cine, we applied 1) a VS to generate a total of 24 k-space projections per frame (ie, 9 shared projections before and after 6 native projections per frame) and 2) a KWIC filter to zero the central portions of shared k-space as shown in Figure 1-(b). We reconstructed cine images using CS [1,3] with a temporal total variation as sparsifying transform (refer to Figure 1-(b)).
Image Analysis: Cardiac contours were segmented using the automatic AI tools followed by manual correction in Circle (cvi42, v5.13.9). We recorded the quantitative results of cardiac function: EDV, ESV, SV, and LVEF. Two experienced raters (a cardiologist and a radiologist) visually evaluated the image quality using 5-point Likert scale (see Table 1). For statistical analysis, one-way ANOVA and Kruskal-Wallis tests were used to compare the quantitative and qualitative results, respectively, with Bonferroni correction.
Results:
Figure 2 shows representative short-axis images from clinical BH, FB-RT Cartesian, and FB-RT radial cines. LV functional results were not significantly different (p >0.05) between three cines. As summarized in Table 1, image quality scores were significantly better for FB-RT radial cine than Cartesian, where all four scores were ≥4 for radial.
Conclusion: 32-fold accelerated FB-RT cine using a combination of radial k-space sampling, VS, and KWIC filtering produces high image quality in patients with a CIED. While improved spatio-temporal resolution may not translate to improved ventricular functional measurements, it may be beneficial for evaluation of wall motion abnormalities associated with coronary artery disease or cardiomyopathies.