Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation

Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation

Abstract Background Automated segmentation of spinal magnetic resonance imaging (MRI) plays a vital role both scientifically and clinically. However, accurately delineating posterior spine structures is challenging. Methods This retrospective study, approved by the ethical committee, involved transl...

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Bibliographic Details
Main Authors: Robert Graf, Joachim Schmitt, Sarah Schlaeger, Hendrik Kristian Möller, Vasiliki Sideri-Lampretsa, Anjany Sekuboyina, Sandro Manuel Krieg, Benedikt Wiestler, Bjoern Menze, Daniel Rueckert, Jan Stefan Kirschke
Format: Article
Language:English
Published: SpringerOpen 2023-11-01
Series:European Radiology Experimental
Subjects:
Deep learning
Image processing (computer assisted)
Magnetic resonance imaging
Spine
Vertebral body
Online Access:https://doi.org/10.1186/s41747-023-00385-2

Internet

https://doi.org/10.1186/s41747-023-00385-2

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