High resolution multi-delay arterial spin labeling with self-supervised deep learning denoising for pediatric choroid plexus perfusion MRI.

Journal: NeuroImage
PMID:

Abstract

Choroid plexus (CP) is an important brain structure that produces cerebrospinal fluid (CSF). CP perfusion has been studied using multi-delay arterial spin labeling (MD-ASL) in adults but not in pediatric populations due to the challenge of small CP size in children. Here we present a high resolution (iso2 mm) MDASL protocol with 10-minute scan time and performed test-retest scans on 21 typically developing children aged 8 to 17 years. We further proposed a Transformer-based deep learning (DL) model with k-space weighted image average (KWIA) denoised images as reference for training the model. The performance of the model was evaluated by the SNR, bias and repeatability of the fitted perfusion parameters of the CP and gray matter. The proposed method was compared to several benchmark methods including KWIA, joint denoising and reconstruction with total generalized variation (TGV) regularization, as well as another self-supervised method termed Noise2Void. The results show that the proposed Transformer model with KWIA reference can effectively denoise multi-delay ASL images, not only improving the SNR for perfusion images of each delay, but also improving the SNR for the fitted perfusion maps for visualizing and quantifying CP perfusion in children. This may facilitate the use of MDASL in neurodevelopmental studies to characterize the development of CP and glymphatic system.

Authors

  • Qinyang Shou
    From the Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Los Angeles (K.W., Q.S., S.J.M., H.K., D.J.J.W.).
  • Chenyang Zhao
    SILC Business School, Shanghai University, Shanghai 201800, China.
  • Xingfeng Shao
    Laboratory of Functional MRI Technology (LOFT), Stevens Neuro Imaging and Informatics Institute, University of Southern California, Los Angeles, California, USA.
  • Megan M Herting
    Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA; Department of Pediatrics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
  • Danny Jj Wang
    Laboratory of Neuro Imaging (LONI), Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.