Deep learning reconstruction of zero-echo time sequences to improve visualization of osseous structures and associated pathologies in MRI of cervical spine

Deep learning reconstruction of zero-echo time sequences to improve visualization of osseous structures and associated pathologies in MRI of cervical spine

Abstract Objectives To determine whether deep learning-based reconstructions of zero-echo-time (ZTE-DL) sequences enhance image quality and bone visualization in cervical spine MRI compared to traditional zero-echo-time (ZTE) techniques, and to assess the added value of ZTE-DL sequences alongside st...

Full description

Saved in:
Bibliographic Details
Main Authors: Malwina Kaniewska, Fabio Zecca, Carina Obermüller, Falko Ensle, Eva Deininger-Czermak, Maelene Lohezic, Roman Guggenberger
Format: Article
Language:English
Published: SpringerOpen 2025-01-01
Series:Insights into Imaging
Subjects:
Magnetic resonance imaging
Zero-echo time
Deep learning reconstruction
CT-like MRI
Cervical spine
Online Access:https://doi.org/10.1186/s13244-025-01902-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s13244-025-01902-0

Similar Items