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Enhanced Myocardial Tissue Visualization: A Comparative Cardiovascular Magnetic Resonance Study of Gradient-Spin Echo-Stir and Conventional Stir Imaging Publisher



Dehghani S1 ; Shirani S2 ; Jazayeri Gharebagh E1
Authors
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Authors Affiliations
  1. 1. Radiation Sciences Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran

Source: International Journal of Biomedical Imaging Published:2024


Abstract

Purpose. This study is aimed at evaluating the efficacy of the gradient-spin echo- (GraSE-) based short tau inversion recovery (STIR) sequence (GraSE-STIR) in cardiovascular magnetic resonance (CMR) imaging compared to the conventional turbo spin echo- (TSE-) based STIR sequence, specifically focusing on image quality, specific absorption rate (SAR), and image acquisition time. Methods. In a prospective study, we examined forty-four normal volunteers and seventeen patients referred for CMR imaging using conventional STIR and GraSE-STIR techniques. Signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), image quality, T2 signal intensity (SI) ratio, SAR, and image acquisition time were compared between both sequences. Results. GraSE-STIR showed significant improvements in image quality (4.15±0.8 vs. 3.34±0.9, p=0.024) and cardiac motion artifact reduction (7 vs. 18 out of 53, p=0.038) compared to conventional STIR. Furthermore, the acquisition time (27.17±3.53 vs. 36.9±4.08 seconds, p=0.041) and the local torso SAR (<13% vs. <17%, p=0.047) were significantly lower for GraSE-STIR compared to conventional STIR in short-axis plan. However, no significant differences were shown in T2 SI ratio (p=0.141), SNR (p=0.093), CNR (p=0.068), and SAR (p=0.071) between these two sequences. Conclusions. GraSE-STIR offers notable advantages over conventional STIR sequence, with improved image quality, reduced motion artifacts, and shorter acquisition times. These findings highlight the potential of GraSE-STIR as a valuable technique for routine clinical CMR imaging. © 2024 Sadegh Dehghani et al.