A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI data

A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI data

Background: Bone marrow adipose tissue (BMAT) represents > 10% fat mass in healthy humans and can be measured by magnetic resonance imaging (MRI) as the bone marrow fat fraction (BMFF). Human MRI studies have identified several diseases associated with BMFF but have been relatively small scale. P...

Full description

Saved in:
Bibliographic Details
Main Authors: David M. Morris, Chengjia Wang, Giorgos Papanastasiou, Calum D. Gray, Wei Xu, Samuel Sjöström, Sammy Badr, Julien Paccou, Scott IK Semple, Tom MacGillivray, William P. Cawthorn
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Deep learning
Biomarkers
Predictive analytics
Magnetic resonance imaging
Bone marrow adipose tissue
Bone marrow adiposity
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037023005044
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items