Combined Structural MR and Diffusion Tensor Imaging Classify the Presence of Alzheimer’s Disease With the Same Performance as MR Combined With Amyloid Positron Emission Tomography: A Data Integration Approach

Abstract

Background: In recent years, classification frameworks using imaging data have shown that multimodal classification methods perform favorably over the use of a single imaging modality for the diagnosis of Alzheimer’s Disease. The currently used clinical approach often emphasizes the use of qualitative MRI and/or PET data for clinical diagnosis. Based on the hypothesis that classification of isolated imaging modalities is not predictive of their respective value in combined approaches, we investigate whether the combination of T1 Weighted MRI and diffusion tensor imaging (DTI) can yield an equivalent performance as the combination of quantitative structural MRI (sMRI) with amyloid-PET.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 05, 2022
Source ID
10.3389/fnins.2021.638175

Entities

People

  • Ana Paula Moreira
  • Antero Abrunhosa
  • Daniel Agostinho
  • Francisco Caramelo
  • Isabel Santana
  • Miguel Castelo-branco

Organizations

  • Alzheimer's Disease Neuroimaging Initiative
  • Fundação para a Ciência e Tecnologia

Tags

Fields of Study

  • Medicine
  • Physics

Readers

  • Medical Imaging.
  • Neural Network Machine Learning.
  • Traumatic Brain Injury (TBI) and Cognitive Aging in the Guam and Border Populations Affected by Alzheimer's Disease and Tau-Associated Dementias.