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深度学习加速的 3T 单次屏气腹部 HASTE 序列:可变重聚焦翻转角的研发与评估。

Development and Evaluation of Deep Learning-Accelerated Single-Breath-Hold Abdominal HASTE at 3 T Using Variable Refocusing Flip Angles.

机构信息

From the Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen.

MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.

出版信息

Invest Radiol. 2021 Oct 1;56(10):645-652. doi: 10.1097/RLI.0000000000000785.

Abstract

OBJECTIVE

Deep learning (DL) reconstruction enables substantial acceleration of image acquisition while maintaining diagnostic image quality. The aims of this study were to overcome the drawback of specific absorption rate (SAR)-related limitations at 3 T and to develop a DL-accelerated single-breath-hold half-Fourier acquisition single-shot turbo spin echo (HASTE) sequence for 2-dimesional T2-weighted fat-suppressed magnetic resonance imaging of the abdomen at 3 T using a variable flip angle (FA) evolution for the refocusing radiofrequency pulses, as well as to evaluate its feasibility and image quality in comparison to state-of-the-art T2-weighted fat-suppressed imaging technique (BLADE).

MATERIALS AND METHODS

First, a suitable FA evolution with low cardiac motion-related signal loss (CRSL) and low SAR was determined through a prospective volunteer study with 11 participants. Image quality and diagnostic confidence with 5 different FA evolutions of a HASTEDL were assessed to identify the most suitable FA evolution. Second, the identified FA evolution was implemented clinically and evaluated in 51 patients undergoing a clinically indicated liver magnetic resonance imaging at 3 T. Two radiologists assessed the HASTEDL and standard sequences regarding overall image quality, noise, contrast, sharpness, artifacts, CRSL, and diagnostic confidence using a Likert scale ranging from 1 to 4, with 4 being the best. Comparative analyses were conducted to assess the differences between HASTEDL (acquisition time, 21 seconds; single breath-hold) and the routinely used T2-weighted BLADE sequence (acquisition time, 4 minutes; respiratory triggering).

RESULTS

From the volunteer study, the FA evolution characterized by the control points 130-90-110-130 degrees (HASTEDL) was identified as optimal among the 5 evolutions evaluated and was implemented in our clinical protocol. In all 51 patients, HASTEDL was successfully acquired at 3 T and showed excellent image quality (median, 4; interquartile range, 3-4). Although BLADE was rated significantly higher for overall image quality, noise, contrast, sharpness, artifacts, CRSL, and diagnostic confidence than HASTEDL, no differences were found concerning the number (n = 102) and measured diameter of the detected hepatic lesions between the 2 sequences BLADE and HASTEDL.

CONCLUSIONS

The proposed single-breath-hold abdominal HASTEDL with variable refocusing FAs is feasible at 3 T within SAR limits and yields high image quality and diagnostic confidence as compared with a standard T2-weighted acquisition technique, at a 10th of the acquisition time.

摘要

目的

深度学习(DL)重建能够在保持诊断图像质量的同时,大幅加速图像采集。本研究旨在克服特定吸收率(SAR)相关限制在 3T 下的缺点,并开发一种用于腹部二维 T2 加权脂肪抑制磁共振成像的 DL 加速单次屏气半傅里叶采集单次激发涡轮自旋回波(HASTE)序列,该序列使用可变翻转角(FA)演化来聚焦重聚焦射频脉冲,以及评估其在与最先进的 T2 加权脂肪抑制成像技术(BLADE)相比的可行性和图像质量。

材料和方法

首先,通过一项前瞻性志愿者研究,确定了具有低心脏运动相关信号丢失(CRSL)和低 SAR 的合适 FA 演化,该研究有 11 名参与者。使用 5 种不同的 HASTEDL FA 演化评估图像质量和诊断信心,以确定最合适的 FA 演化。其次,将确定的 FA 演化应用于临床,并在 51 例在 3T 下进行临床指征性肝脏磁共振成像的患者中进行评估。两位放射科医生使用 1 到 4 分的李克特量表评估 HASTEDL 和标准序列的整体图像质量、噪声、对比度、锐度、伪影、CRSL 和诊断信心,4 分为最佳。进行比较分析以评估 HASTEDL(采集时间,21 秒;单次屏气)和常规使用的 T2 加权 BLADE 序列(采集时间,4 分钟;呼吸触发)之间的差异。

结果

从志愿者研究中,评估的 5 种演化中确定了以控制点 130-90-110-130 度为特征的 FA 演化(HASTEDL)是最佳的,并在我们的临床方案中实施。在所有 51 例患者中,在 3T 下成功采集到 HASTEDL,图像质量极佳(中位数,4;四分位距,3-4)。尽管 BLADE 在整体图像质量、噪声、对比度、锐度、伪影、CRSL 和诊断信心方面的评分明显高于 HASTEDL,但在 BLADE 和 HASTEDL 这两种序列检测到的肝脏病变的数量(n=102)和测量直径方面没有差异。

结论

在 SAR 限制范围内,提出的腹部单次屏气 HASTEDL 采用可变重聚焦 FA 是可行的,与标准 T2 加权采集技术相比,图像质量和诊断信心较高,采集时间缩短至十分之一。

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