Department of Radiology, NYU Langone Health, 660 1st Avenue, 3rd Floor, New York, NY, 10016, USA.
Siemens Healthcare GmbH, Allee am Roethelheimpark 2, 91052, Erlangen, Germany.
Eur Radiol. 2021 Nov;31(11):8447-8457. doi: 10.1007/s00330-021-08008-3. Epub 2021 May 7.
To compare the image quality of an accelerated single-shot T2-weighted fat-suppressed (FS) MRI of the liver with deep learning-based image reconstruction (DL HASTE-FS) with conventional T2-weighted FS sequence (conventional T2 FS) at 1.5 T.
One hundred consecutive patients who underwent clinical MRI of the liver at 1.5 T including the conventional T2-weighted fat-suppressed sequence (T2 FS) and accelerated single-shot T2-weighted MRI of the liver with deep learning-based image reconstruction (DL HASTE-FS) were included. Images were reviewed independently by three blinded observers who used a 5-point confidence scale for multiple measures regarding the artifacts and image quality. Descriptive statistics and McNemar's test were used to compare image quality scores and percentage of lesions detected by each sequence, respectively. Intra-class correlation coefficient (ICC) was used to assess consistency in reader scores.
Acquisition time for DL HASTE-FS was 51.23 +/ 10.1 s, significantly (p < 0.001) shorter than conventional T2-FS (178.9 ± 85.3 s). DL HASTE-FS received significantly higher scores than conventional T2-FS for strength and homogeneity of fat suppression; sharpness of liver margin; sharpness of intra-hepatic vessel margin; in-plane and through-plane respiratory motion; other ghosting artefacts; liver-fat contrast; and overall image quality (all, p < 0.0001). DL HASTE-FS also received higher scores for lesion conspicuity and sharpness of lesion margin (all, p < .001), without significant difference for liver lesion contrast (p > 0.05).
Accelerated single-shot T2-weighted MRI of the liver with deep learning-based image reconstruction showed superior image quality compared to the conventional T2-weighted fat-suppressed sequence despite a 4-fold reduction in acquisition time.
• Conventional fat-suppressed T2-weighted sequence (conventional T2 FS) can take unacceptably long to acquire and is the most commonly repeated sequence in liver MRI due to motion. • DL HASTE-FS demonstrated superior image quality, improved respiratory motion and other ghosting artefacts, and increased lesion conspicuity with comparable liver-to-lesion contrast compared to conventional T2FS sequence. • DL HASTE- FS has the potential to replace conventional T2 FS sequence in routine clinical MRI of the liver, reducing the scan time, and improving the image quality.
比较基于深度学习的图像重建(DL HASTE-FS)加速单次激发 T2 加权脂肪抑制(FS)肝脏 MRI 与 1.5 T 常规 T2 加权 FS 序列的图像质量。
本研究纳入了 100 例连续行 1.5 T 肝脏 MRI 检查的患者,包括常规 T2 加权 FS 序列(T2 FS)和基于深度学习的图像重建加速单次激发 T2 加权 MRI(DL HASTE-FS)。3 名盲法观察者独立对图像进行了评估,使用 5 分置信度量表对各序列的伪影和图像质量进行了多项评估。分别使用描述性统计和 McNemar 检验比较图像质量评分和检出病灶的百分比。使用组内相关系数(ICC)评估观察者评分的一致性。
DL HASTE-FS 的采集时间为 51.23 ± 10.1 s,明显短于常规 T2-FS(178.9 ± 85.3 s)(p < 0.001)。DL HASTE-FS 在脂肪抑制的强度和均匀性、肝缘锐利度、肝内血管边缘锐利度、平面内和平面外呼吸运动、其他鬼影伪影、肝脂肪对比度和整体图像质量方面均获得了更高的评分(均 p < 0.0001)。DL HASTE-FS 还在病灶显示度和病灶边缘锐利度方面获得了更高的评分(均 p <.001),而在肝病灶对比度方面无显著差异(p > 0.05)。
与常规 T2 加权脂肪抑制序列相比,基于深度学习的图像重建加速单次激发 T2 加权肝脏 MRI 尽管采集时间缩短了 4 倍,但显示出了更高的图像质量。
• 常规脂肪抑制 T2 加权序列(conventional T2 FS)采集时间长,由于运动,在肝脏 MRI 中是最常重复的序列。• DL HASTE-FS 显示出更高的图像质量,改善了呼吸运动和其他鬼影伪影,提高了病灶显示度,同时具有与常规 T2FS 序列可比的肝病灶对比度。• DL HASTE-FS 有可能取代常规 T2 FS 序列,用于常规临床肝脏 MRI,缩短扫描时间,提高图像质量。