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

IF 3.3 Q2 ENGINEERING, BIOMEDICAL

International Journal of Biomedical Imaging Pub Date : 2024-04-01 eCollection Date: 2024-01-01 DOI:10.1155/2024/8456669

Sadegh Dehghani, Shapoor Shirani, Elahe Jazayeri Gharebagh

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引用次数: 0

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.

查看原文本刊更多论文

增强心肌组织可视化：梯度旋转 Echo-STIR 和传统 STIR 成像的心血管磁共振对比研究。

目的：本研究旨在评估基于梯度自旋回波（GraSE）的短头绪反转恢复（STIR）序列（GraSE-STIR）与基于传统涡轮自旋回波（TSE）的 STIR 序列相比在心血管磁共振（CMR）成像中的功效，特别关注图像质量、比吸收率（SAR）和图像采集时间：在一项前瞻性研究中，我们使用传统 STIR 和 GraSE-STIR 技术对 44 名正常志愿者和 17 名转诊为 CMR 成像的患者进行了检查。比较了两种序列的信噪比（SNR）、对比度-信噪比（CNR）、图像质量、T2 信号强度（SI）比、SAR 和图像采集时间：与传统 STIR 相比，GraSE-STIR 在图像质量（4.15 ± 0.8 vs. 3.34 ± 0.9，p = 0.024）和心脏运动伪影减少（53 例中有 7 例 vs. 18 例，p = 0.038）方面有明显改善。此外，在短轴平面上，GraSE-STIR 的采集时间（27.17 ± 3.53 对 36.9 ± 4.08 秒，p = 0.041）和局部躯干 SAR（p = 0.047）明显低于传统 STIR。然而，这两种序列在 T2 SI 比值（p = 0.141）、信噪比（p = 0.093）、CNR（p = 0.068）和 SAR（p = 0.071）方面没有明显差异：结论：与传统的 STIR 序列相比，GraSE-STIR 具有明显的优势，图像质量更高，运动伪影更少，采集时间更短。这些发现凸显了 GraSE-STIR 作为常规临床 CMR 成像的重要技术的潜力。

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来源期刊

International Journal of Biomedical Imaging ENGINEERING, BIOMEDICAL-

CiteScore

12.00

自引率

0.00%

发文量

审稿时长

20 weeks

期刊介绍： The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics