Improving Sensitivity of Arterial Spin Labeling Perfusion MRI in Alzheimer's Disease Using Transfer Learning of Deep Learning‐Based ASL Denoising
Abstract
Arterial spin labeling (ASL) perfusion magnetic resonance imaging (MRI) denoising through deep learning (DL) often faces insufficient training data from patients. One solution is to train DL models using healthy subjects' data which are more widely available and transfer them to patients' data.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 06, 2021
- Source ID
- 10.1002/jmri.27984
Entities
People
- Aldo Camargo
- Danfeng Xie
- David Dreizin
- Donghui Song
- Elias R. Melhem
- Jean Jeudy
- Lei Zhang
- The Alzheimer’s Disease Neuroimaging Initiative*
- Tong Lu
- Yiran Li
- Ze Wang
Organizations
- AbbVie
- Alzheimer's Association
- Alzheimer's Drug Discovery Foundation
- BioClinica
- Biogen
- Canadian Institutes of Health Research
- Chiron Corporation
- Eli Lilly and Company
- Foundation for the National Institutes of Health
- GE HealthCare
- Hoffmann-La Roche
- Laboratoires Servier
- Lundbeck
- Merck & Co.
- National Institute of Biomedical Imaging and Bioengineering
- National Institute on Aging
- National Institutes of Health
- Norman Cousins Center for Psychoneuroimmunology
- Northern California Institute for Research and Education
- Pfizer
- Roche (United States)
- Takeda Pharmaceutical Company
- United States Department of Defense
- University of Maryland
- University of Maryland School of Medicine