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Application value of convolutional neural network single-shot technique in brain magnetic resonance imaging in poorly coordinated patients
LIU Kai  SUN Haitao  CHEN Caizhong  WANG Jian  WEN Xixi  ZENG Mengsu 

Cite this article as: LIU K, SUN H T, CHEN C Z, et al. Application value of convolutional neural network single-shot technique in brain magnetic resonance imaging in poorly coordinated patients[J]. Chin J Magn Reson Imaging, 2023, 14(1): 111-115. DOI:10.12015/issn.1674-8034.2023.01.020.

[Abstract] Objective To investigate the feasibility of using convolutional neural network single excitation technique (CNN-SS) in magnetic resonance imaging of brain in poorly coordinated patients.Materials and Methods A total of 32 patients with poor T2-FLAIR imaging by conventional parallel imaging (PI) technique were selected, and the CNN-SS technique was used for T2-FLAIR complementary scanning. The image quality, lesion display of the two methods were compared and analyzed.Results The total brain scanning time of T2-FLAIR sequence was 33 seconds in the CNN-SS group and 126 seconds in the PI control group. In terms of image quality, the scores of image quality and lesion sharpness in CNN-SS group were (3.75±0.51) points and (3.68±0.55) points, respectively, significantly improved compared with PI group (2.41±0.71) points and (2.52±0.96) points (P<0.001).Conclusions The parallel acquisition CNN-SS technique can be effectively applied to cranial magnetic resonance imaging in patients who are unable to cooperate effectively, which can not only significantly shorten the examination time, reduce the image artifacts, and improve the image quality. It is helpful for timely diagnosis of potential lesions, so as to avoid missed diagnosis and delayed treatment.
[Keywords] fluid attenuated inversion recovery;single-shot;convolutional neural network;brain;magnetic resonance imaging;parallel imaging

LIU Kai1   SUN Haitao1*   CHEN Caizhong1   WANG Jian1   WEN Xixi2   ZENG Mengsu1  

1 Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai 200032, China

2 Shanghai United Imaging Healthcare Co., Ltd., Shanghai 201807, China

Corresponding author: Sun HT, E-mail:

Conflicts of interest   None.

Received  2022-07-29
Accepted  2022-12-20
DOI: 10.12015/issn.1674-8034.2023.01.020
Cite this article as: LIU K, SUN H T, CHEN C Z, et al. Application value of convolutional neural network single-shot technique in brain magnetic resonance imaging in poorly coordinated patients[J]. Chin J Magn Reson Imaging, 2023, 14(1): 111-115. DOI:10.12015/issn.1674-8034.2023.01.020.

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