Deep neural network based CEST and AREX processing : Application in imaging a model of Alzheimer’s disease at 3 T

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

1 Scopus Citations
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Author(s)

  • Jianpan Huang
  • Kai-Hei Tse
  • Gerald W. Y. Cheng
  • Yang Liu
  • Lin Chen
  • Jiadi Xu

Detail(s)

Original languageEnglish
Journal / PublicationMagnetic Resonance in Medicine
Online published17 Oct 2021
Publication statusOnline published - 17 Oct 2021

Abstract

Purpose: To optimize and apply deep neural network based CEST (deepCEST) and apparent exchange dependent-relaxation (deepAREX) for imaging the mouse brain with Alzheimer's disease (AD) at 3T MRI. 
Methods: CEST and T1 data of central and anterior brain slices of 10 AD mice and 10 age-matched wild type (WT) mice were acquired at a 3T animal MRI scanner. The networks of deepCEST/deepAREX were optimized and trained on the WT data. The CEST/AREX contrasts of AD and WT mice predicted by the networks were analyzed and further validated by immunohistochemistry. 
Results: After optimization and training on CEST data of WT mice, deepCEST/deepAREX could rapidly (~1 s) generate precise CEST and AREX results for unseen CEST data of AD mice, indicating the accuracy and generalization of the networks. Significant lower amide weighted (3.5 ppm) signal related to amyloid β-peptide (Aβ) plaque depositions, which was validated by immunohistochemistry results, was detected in both central and anterior brain slices of AD mice compared to WT mice. Decreased magnetization transfer (MT) signal was also found in AD mice especially in the anterior slice. 
Conclusion: DeepCEST/deepAREX could rapidly generate accurate CEST/AREX contrasts in animal study. The well-optimized deepCEST/deepAREX have potential for AD differentiation at 3T MRI.

Research Area(s)

  • 3T MRI, Alzheimer’s disease, amyloid β-peptide plaque, apparent exchange-dependent relaxation, chemical exchange saturation transfer, deep neural network

Citation Format(s)

Deep neural network based CEST and AREX processing : Application in imaging a model of Alzheimer’s disease at 3 T. / Huang, Jianpan; Lai, Joseph H. C.; Tse, Kai-Hei; Cheng, Gerald W. Y.; Liu, Yang; Chen, Zilin; Han, Xiongqi; Chen, Lin; Xu, Jiadi; Chan, Kannie W. Y.

In: Magnetic Resonance in Medicine, 17.10.2021.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review