Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on Structural Magnetic Resonance Images

Frontiers in Neuroscience
Da MaAlzheimer's Disease Neuroimaging Initiative

Abstract

Methods: Alzheimer's disease and Frontotemporal dementia are the first and third most common forms of dementia. Due to their similar clinical symptoms, they are easily misdiagnosed as each other even with sophisticated clinical guidelines. For disease-specific intervention and treatment, it is essential to develop a computer-aided system to improve the accuracy of their differential diagnosis. Recent advances in deep learning have delivered some of the best performance for medical image recognition tasks. However, its application to the differential diagnosis of AD and FTD pathology has not been explored. Approach: In this study, we proposed a novel deep learning based framework to distinguish between brain images of normal aging individuals and subjects with AD and FTD. Specifically, we combined the multi-scale and multi-type MRI-base image features with Generative Adversarial Network data augmentation technique to improve the differential diagnosis accuracy. Results: Each of the multi-scale, multitype, and data augmentation methods improved the ability for differential diagnosis for both AD and FTD. A 10-fold cross validation experiment performed on a large sample of 1,954 images using the proposed framework achieved a high o...Continue Reading

References

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Citations

Dec 1, 2020·Journal of Alzheimer's Disease : JAD·Evangeline YeeUNKNOWN The Australian Imaging Biomarkers and Lifestyle flagship study of ageing
Mar 3, 2021·CNS Neuroscience & Therapeutics·Liang CuiQihao Guo
Jun 20, 2021·Journal of Medical Imaging and Radiation Oncology·Phillip ChlapAnnette Haworth
Aug 3, 2021·Journal of Alzheimer's Disease : JAD·Michitaka FunayamaTaketo Takata

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Methods Mentioned

BETA
PCA
feature extraction

Software Mentioned

GAN
Tensorflow
LDDMM
FreeSurfer
MMDNN
Inception

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