Litcius/Paper detail

Magnetic Resonance Texture Analysis in Alzheimer's disease

Jiahui Cai, Yuan He, Xiaolin Zhong, Hao Lei, Fang Wang, Guanghua Luo, Heng Zhao, Jin-Cai Liu

2020Academic Radiology61 citationsDOIOpen Access PDF

Abstract

Texture analysis is an emerging field that allows mathematical detection of changes in MRI signals that are not visible among image pixels. Alzheimer's disease, a progressive neurodegenerative disease, is the most common cause of dementia. Recently, multiple texture analysis studies in patients with Alzheimer's disease have been performed. This review summarizes the main contributors to Alzheimer's disease-associated cognitive decline, presents a brief overview of texture analysis, followed by review of various MR imaging texture analysis applications in Alzheimer's disease. We also discuss the current challenges for widespread clinical utilization. MR texture analysis could potentially be applied to develop neuroimaging biomarkers for use in Alzheimer's disease clinical trials and diagnosis. Texture analysis is an emerging field that allows mathematical detection of changes in MRI signals that are not visible among image pixels. Alzheimer's disease, a progressive neurodegenerative disease, is the most common cause of dementia. Recently, multiple texture analysis studies in patients with Alzheimer's disease have been performed. This review summarizes the main contributors to Alzheimer's disease-associated cognitive decline, presents a brief overview of texture analysis, followed by review of various MR imaging texture analysis applications in Alzheimer's disease. We also discuss the current challenges for widespread clinical utilization. MR texture analysis could potentially be applied to develop neuroimaging biomarkers for use in Alzheimer's disease clinical trials and diagnosis.

Topics & Concepts

Texture (cosmology)Magnetic resonance imagingNuclear magnetic resonanceMedicineRadiologyPhysicsComputer scienceArtificial intelligenceImage (mathematics)Medical Image Segmentation TechniquesRadiomics and Machine Learning in Medical ImagingCerebrovascular and Carotid Artery Diseases