Age Prediction Based on Brain MRI Image: A Survey

AbstractHuman age prediction is an interesting and applicable issue in different fields. It can be based on various criteria such as face image, DNA methylation, chest plate radiographs, knee radiographs, dental images and etc. Most of the age prediction researches have mainly been based on images. Since the image processing and Machine Learning (ML) techniques have grown up, the investigations were led to use them in age prediction problem. The implementations would be used in different fields, especially in medical applications. Brain Age Estimation (BAE) has attracted more attention in recent years and it would be so helpful in early diagnosis of some neurodegenerative diseases such as Alzheimer, Parkinson, Huntington, etc. BAE is performed on Magnetic Resonance Imaging (MRI) images to compute the brain ages. Studies based on brain MRI shows that there is a relation between accelerated aging and accelerated brain atrophy. This refers to the effects of neurodegenerative diseases on brain structure while making the whole of it older. This paper reviews and summarizes the main approaches for age prediction based on brain MRI images including preprocessing methods, useful tools used in different research works and the estimation algorithms. We categorize the BAE methods based on two factors, first the way of processing MRI images, which includes pixel-based, surface-based, or voxel-based methods and second, the generation of ML algorithms that includes traditional or Deep Lear...
Source: Journal of Medical Systems - Category: Information Technology Source Type: research

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Source: Current Pharmaceutical Design - Category: Drugs & Pharmacology Authors: Tags: Curr Pharm Des Source Type: research
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Source: Acta Neurologica Taiwanica - Category: Neurology Tags: Acta Neurol Taiwan Source Type: research
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Source: The Yale Journal of Biology and Medicine - Category: Universities & Medical Training Tags: Yale J Biol Med Source Type: research
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