Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla

Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla

Abstract Objective This prospective study aimed to assess the feasibility of a half-Fourier single-shot turbo spin echo sequence (HASTE) with deep learning (DL) reconstruction for ultrafast imaging of the bladder with reduced susceptibility to motion artifacts. Methods 50 patients underwent pelvic T...

Full description

Saved in:
Bibliographic Details
Main Authors: Li Yan, Qinxuan Tan, David Kohnert, Marcel Dominik Nickel, Elisabeth Weiland, Felix Kubicka, Paul Jahnke, Dominik Geisel, Moritz Wagner, Thula Walter-Rittel
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Imaging
Subjects:
Magnetic resonance imaging
Deep learning
HASTE
Turbo spin echo sequence
Bladder imaging
Online Access:https://doi.org/10.1186/s12880-025-01810-1
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12880-025-01810-1

Similar Items