Alzheimer's disease: 3‐Dimensional MRI texture for prediction of conversion from mild cognitive impairment

Abstract

Currently, there are no tools that can accurately predict which patients with mild cognitive impairment (MCI) will progress to Alzheimer's disease (AD). Texture analysis uses image processing and statistical methods to identify patterns in voxel intensities that cannot be appreciated by visual inspection. Our main objective was to determine whether MRI texture could be used to predict conversion of MCI to AD.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2018
Source ID
10.1016/j.dadm.2018.09.002

Entities

People

  • Abdullah Ishaque
  • Collin C. Luk
  • Daniel Ta
  • Dean Eurich
  • Muhammad Khan
  • Sanjay Kalra
  • Sneha Chenji
  • The Alzheimer’s Disease Neuroimaging Initiative*
  • Yee‐hong Yang

Organizations

  • National Institute of Biomedical Imaging and Bioengineering
  • National Institute on Aging
  • United States Department of Defense
  • University of Alberta

Tags

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Computational Modeling and Simulation
  • Neurodegenerative Parkinson's Disease and Rickettsial Disease handbook, including the data level of dopamine, BC, neurons, and PD.