Iterative Motion Correction Technique with Deep Learning Reconstruction for Brain MRI: A Volunteer and Patient Study

The aim of this study was to investigate the effect of iterative motion correction (IMC) on reducing artifacts in brain magnetic resonance imaging (MRI) with deep learning reconstruction (DLR). The study included 10 volunteers (between September 2023 and December 2023) and 30 patients (between June...

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Bibliographic Details
Published in:Journal of digital imaging 2024-12, Vol.37 (6), p.3070-3076
Main Authors: Yasaka, Koichiro, Akai, Hiroyuki, Kato, Shimpei, Tajima, Taku, Yoshioka, Naoki, Furuta, Toshihiro, Kageyama, Hajime, Toda, Yui, Akahane, Masaaki, Ohtomo, Kuni, Abe, Osamu, Kiryu, Shigeru
Format: Article
Language:English
Subjects:
Adult
Aged
Brain
Brain - diagnostic imaging
Deep Learning
Female
Humans
Image acquisition
Image Processing, Computer-Assisted - methods
Image quality
Image reconstruction
Imaging
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Medical imaging
Medicine
Medicine & Public Health
Middle Aged
Motion
Neuroimaging
Qualitative analysis
Radiology
Similarity
Young Adult
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Summary:The aim of this study was to investigate the effect of iterative motion correction (IMC) on reducing artifacts in brain magnetic resonance imaging (MRI) with deep learning reconstruction (DLR). The study included 10 volunteers (between September 2023 and December 2023) and 30 patients (between June 2022 and July 2022) for quantitative and qualitative analyses, respectively. Volunteers were instructed to remain still during the first MRI with fluid-attenuated inversion recovery sequence (FLAIR) and to move during the second scan. IMCoff DLR images were reconstructed from the raw data of the former acquisition; IMCon and IMCoff DLR images were reconstructed from the latter acquisition. After registration of the motion images, the structural similarity index measure (SSIM) was calculated using motionless images as reference. For qualitative analyses, IMCon and IMCoff FLAIR DLR images of the patients were reconstructed and evaluated by three blinded readers in terms of motion artifacts, noise, and overall quality. SSIM for IMCon images was 0.952, higher than that for IMCoff images (0.949) ( p  
ISSN:2948-2933
0897-1889
2948-2925
2948-2933
1618-727X
DOI:10.1007/s10278-024-01184-w