60-S Retrogated Compressed Sensing 2D Cine of the Heart: Sharper Borders and Accurate Quantification

Abstract

Background and objective: Real-time compressed sensing cine (CSrt) provides reliable quantification for both ventricles but may alter image quality. The aim of this study was to assess image quality and the accuracy of left (LV) and right ventricular (RV) volumes, ejection fraction and mass quantifications based on a retrogated segmented compressed sensing 2D cine sequence (CSrg). Methods: Thirty patients were enrolled. Each patient underwent the reference retrogated segmented steady-state free precession cine sequence (SSFPref), the real-time CSrt cine and the segmented retrogated prototype CSrg sequence providing the same slices. Functional parameters quantification and image quality rating were performed on SSFPref and CSrg images sets. The edge sharpness, which is an estimate of the edge spread function, was assessed for the three sequences. Results: The mean scan time was: SSFPref = 485.4 ± 83.3 (SD) s (95% CI: 454.3–516.5) and CSrg = 58.3 ± 15.1 (SD) s (95% CI: 53.7–64.2) (p < 0.0001). CSrg subjective image quality score (median: 4; range: 2–4) was higher than the one provided by CSrt (median: 3; range: 2–4; p = 0.0008) and not different from SSFPref overall quality score (median: 4; range: 2–4; p = 0.31). CSrg provided similar LV and RV functional parameters to those assessed with SSFPref (p > 0.05). Edge sharpness was significantly better with CSrg (0.083 ± 0.013 (SD) pixel−1; 95% CI: 0.078–0.087) than with CSrt (0.070 ± 0.011 (SD) pixel−1; 95% CI: 0.066–0.074; p = 0.0004) and not different from the reference technique (0.075 ± 0.016 (SD) pixel−1; 95% CI: 0.069–0.081; p = 0.0516). Conclusions: CSrg cine provides in one minute an accurate quantification of LV and RV functional parameters without compromising subjective and objective image quality.

Fast acquisition of left and right ventricular function parameters applying cardiovascular magnetic resonance in clinical routine – validation of a 2-shot compressed sensing cine sequence

“…The lower SIQ scores could be attributed to the relatively blurry appearance of the CS images. Image sharpness was measured in previous studies [18,29]. Overall, the findings suggest a clear improvement in image sharpness between RT and segmented 2 D CS cines with retrograde gating [24] whereas a small to no improvement between conventional and CS cines [29,30].…”

“…Image sharpness was measured in previous studies [18,29]. Overall, the findings suggest a clear improvement in image sharpness between RT and segmented 2 D CS cines with retrograde gating [24] whereas a small to no improvement between conventional and CS cines [29,30]. By adapting the objective image criteria, we could show that the CS image quality in fact is not worse than the conventional approach.…”

“…LVEF, RVEF) and volumetric parameters (e.g. EDV, ESV, SV and cardiac output) [28,29]. In addition to these standardized parameters, there has been also research carried out regarding atrial functional parameters (e.g.…”

Assessment of Left Ventricular Systolic Function by Cardiovascular Magnetic Resonance Compressed Sensing Real-Time Cine Imaging Combined With Area-Length Method in Normal Sinus Rhythm and Atrial Fibrillation

“…CS real-time bSSFP cine imaging has been shown to be suitable for assessing ventricular interdependence or cardiac function in patients with irregular rhythms or who are unable to hold their breath ( 22 ). Several previous studies in non-selected patients have confirmed that CS real-time cine imaging is an alternative tool for cardiac functional assessment compared to segmented multi-breath-hold bSSFP ( 13 , 17 , 23 ). In the present study, the image quality and edge sharpness of CS real-time cine images were superior to those of routine segmented cine images in patients with AF.…”

“…The edge sharpness (ε, expressed in mm −1 ) was defined as the inverse of the distance (mm) between the positions corresponding to 20% and 80% of the difference between the maximum and minimum signal intensities along the line drawn perpendicularly to the mid-cavity interventricular septum border with the LV blood pool on the end-diastole four-chamber view ( 17 ). This assessment was performed using a homemade script in MATLAB (version R2021a; The MathWorks, Natick, MA, USA) ( Figure 1 ).…”