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第44卷第6期                           南京医科大学学报(自然科学版)
                  2024年6月                   Journal of Nanjing Medical University(Natural Sciences)     ·797 ·


               ·临床研究·

                基于深度学习技术的TSE⁃T2WI在纵隔MRI中的应用价值



                武鹏飞,徐 海,李泓渊,沈 杰,王建伟                  *
                南京医科大学第一附属医院放射科,江苏 南京                 210029




               [摘   要] 目的:探讨基于深度学习重建(deep learning reconstruction,DLR)技术的快速自旋回波(turbo spin echo,TSE)T2加权
                成像(T2 weighted imaging,T2WI)序列提高纵隔T2WI图像质量和减少扫描时间的应用价值。方法:前瞻性收集35例纵隔病变
                的患者进行纵隔常规T2WI序列和基于DLR的T2WI(T2WIDLR)序列扫描。由2位放射科医师各自独立对两组图像的伪影、图像
                清晰度、病灶的细节显示和整体图像质量进行定性评分,并测量和比较两组图像的病灶信噪比(SNR 病灶)和病灶与竖直肌的对比
                噪声比(CNR 病灶/肌肉)。结果:T2WIDLR在伪影、图像清晰度、病灶细节显示和整体图像质量的评分均优于常规T2WI(P均 < 0.001)。
                T2WIDLR序列图像的SNR和CNR均优于常规T2WI序列(P均 < 0.001)。结论:与常规T2WI序列相比,T2WIDLR序列的运动伪
                影更少,图像清晰度、病灶细节显示和整体图像质量更优,图像SNR和CNR更高,在纵隔疾病的临床应用中有较大潜力。
               [关键词] 纵隔;深度学习;磁共振成像;快速自旋回波
               [中图分类号] R445.2                    [文献标志码] A                      [文章编号] 1007⁃4368(2024)06⁃797⁃05
                doi:10.7655/NYDXBNSN240075



                Application value of TSE ⁃ T2WI based on deep learning technique in mediastinum MRI
                scanning

                WU Pengfei,XU Hai,LI Hongyuan,SHEN Jie,WANG Jianwei *
                Department of Radiology,the First Affiliated Hospital of Nanjing Medical University,Nanjing 210029,China



               [Abstract] Objective:To explore the application value of the turbo spin echo(TSE)T2⁃weighted imaging based on deep learning
                reconstruction(DLR)technology in improving mediastinum image quality and reducing scanning time. Methods:35 patients with
                mediastinal lesions were prospectively collected for mediastinal conventional T2WI and DLR⁃based T2WI scanning. The artifacts,
                image clarity,display of the detail of the lesion and overall image quality of the two groups were qualitatively scored by two
                radiologists independently. The signal⁃to⁃noise ratio of the lesion(SNRlesion)and the contrast to noise ratio of the lesion to vertical
                muscle(CNRlesion/muscle)of the two groups of images were measured and compared. Results:Qualitative analysis:T2WIDLR was superior to
                conventional T2WI in the scores of artifact,image sharpness,display of the detail of the lesion,and overall image quality(P < 0.001).
                Quantitative analysis:The SNR and CNR of the image of T2WIDLR sequence were better than those of conventional T2WI(P < 0.001).
                Conclusion:Compared with conventional T2WI sequences,T2WIDLR sequence has fewer motion artifacts,better image clarity,lesion
                detail display and overall image quality,and higher SNR and CNR,which has great potential in clinical application of mediastinal
                diseases.
               [Key words] mediastinum;deep learning;magnetic resonance imaging;fast spin echo
                                                                              [J Nanjing Med Univ,2024,44(06):797⁃801]





                    随着低剂量胸部CT在体检筛查中的广泛应用,                         纵隔肿瘤的检出率显著提升,但是,低剂量 CT软组
                                                                  织分辨率较低,不能对纵隔肿瘤进行更明确的定性
                                                                  诊断,因此,需要进一步的影像学检查明确肿瘤性
               [基金项目] 江苏省卫生健康委科研项目(K2023057)
                                                                  质 。磁共振是目前软组织分辨率较高的影像学检
                                                                    [1]
                ∗
                通信作者(Corresponding author),E⁃mail:wangjianwei@jsph.
                org.cn                                            查 技 术 ,其 中 T2 加 权 成 像(T2 weighted imaging,
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