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使用基于深度学习的降噪方法处理的腹部薄层屏气单次激发快速自旋回波序列的临床可行性

Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach.

作者信息

Tajima Taku, Akai Hiroyuki, Yasaka Koichiro, Kunimatsu Akira, Akahane Masaaki, Yoshioka Naoki, Abe Osamu, Ohtomo Kuni, Kiryu Shigeru

机构信息

Department of Radiology, International University of Health and Welfare Mita Hospital, 1-4-3 Mita, Minato-ku, Tokyo 108-8329, Japan; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda Narita, Chiba 286-0124, Japan.

Department of Radiology, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.

出版信息

Magn Reson Imaging. 2022 Jul;90:76-83. doi: 10.1016/j.mri.2022.04.005. Epub 2022 Apr 30.

DOI:10.1016/j.mri.2022.04.005
PMID:35504409
Abstract

BACKGROUND

T2-weighted imaging (T2WI) is a key sequence of MRI studies of the pancreas. The single-shot fast spin echo (single-shot FSE) sequence is an accelerated form of T2WI. We hypothesized that denoising approach with deep learning-based reconstruction (dDLR) could facilitate accelerated breath-hold thin-slice single-shot FSE MRI, and reveal the pancreatic anatomy in detail.

PURPOSE

To assess the image quality of thin-slice (3 mm) respiratory-triggered FSE T2WI (Resp-FSE) and breath-hold fast advanced spin echo with and without dDLR (BH-dDLR-FASE and BH-FASE, respectively) at 1.5 T.

MATERIALS AND METHODS

MR images of 42 prospectively enrolled patients with suspected pancreaticobiliary disease were obtained at 1.5 T. We qualitatively and quantitatively evaluated image quality of BH-dDLR-FASE related to BH-FASE and Resp-FSE.

RESULTS

The scan time of BH-FASE was significantly shorter than that of Resp-FSE (30 ± 4 s and 122 ± 25 s, p < 0.001). Qualitatively, dDLR significantly improved BH-FASE image quality, and the image quality of BH-dDLR-FASE was significantly better than that of Resp-FSE; as quantitative parameters, the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of BH-dDLR-FASE were also significantly better than those of Resp-FSE. The BH-dDLR-FASE sequence covered the entire pancreas and liver and provided overall image quality rated close to excellent.

CONCLUSIONS

The dDLR technique enables accelerated thin-slice single-shot FSE, and BH-dDLR-FASE seems to be clinically feasible.

摘要

背景

T2加权成像(T2WI)是胰腺MRI研究的关键序列。单次激发快速自旋回波(单次激发FSE)序列是T2WI的一种加速形式。我们假设基于深度学习重建(dDLR)的去噪方法可以促进屏气薄层单次激发FSE MRI,并详细显示胰腺解剖结构。

目的

评估1.5T时,使用和不使用dDLR的薄层(3mm)呼吸触发FSE T2WI(Resp-FSE)以及屏气快速进阶自旋回波(分别为BH-dDLR-FASE和BH-FASE)的图像质量。

材料与方法

对42例前瞻性纳入的疑似胰腺胆管疾病患者在1.5T时进行了MR成像。我们对BH-dDLR-FASE与BH-FASE和Resp-FSE相关的图像质量进行了定性和定量评估。

结果

BH-FASE的扫描时间明显短于Resp-FSE(分别为30±4秒和122±25秒,p<0.001)。定性方面,dDLR显著改善了BH-FASE的图像质量,且BH-dDLR-FASE的图像质量明显优于Resp-FSE;作为定量参数,BH-dDLR-FASE的信噪比(SNR)和对比噪声比(CNR)也明显优于Resp-FSE。BH-dDLR-FASE序列覆盖了整个胰腺和肝脏,提供的整体图像质量接近优秀等级。

结论

dDLR技术可实现加速薄层单次激发FSE,且BH-dDLR-FASE在临床上似乎是可行的。

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