Deep learning-based chemical shift-artifact correction of ZTE MRI for enhanced bone depiction of the lumbar spine

Carina Obermüller, Ulf Bach, Fabio Zecca, Franziska Heidt, Maelene Lohezic, Sagar Mandava, Jose de Arcos Rodriguez, Florian Wiesinger, Roman Guggenberger, Egon Burian, Jonas Kroschke, Falko Ensle

Open source

DOI
10.1007/s00256-026-05290-4
Published
2026-07-06
Container
Skeletal Radiology
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s00256-026-05290-4,
  title = {Deep learning-based chemical shift-artifact correction of ZTE MRI for enhanced bone depiction of the lumbar spine},
  author = {Carina Obermüller and Ulf Bach and Fabio Zecca and Franziska Heidt and Maelene Lohezic and Sagar Mandava and Jose de Arcos Rodriguez and Florian Wiesinger and Roman Guggenberger and Egon Burian and Jonas Kroschke and Falko Ensle},
  year = {2026},
  journal = {Skeletal Radiology},
  doi = {10.1007/s00256-026-05290-4},
  url = {https://doi.org/10.1007/s00256-026-05290-4}
}

RIS

TY  - JOUR
TI  - Deep learning-based chemical shift-artifact correction of ZTE MRI for enhanced bone depiction of the lumbar spine
AU  - Carina Obermüller
AU  - Ulf Bach
AU  - Fabio Zecca
AU  - Franziska Heidt
AU  - Maelene Lohezic
AU  - Sagar Mandava
AU  - Jose de Arcos Rodriguez
AU  - Florian Wiesinger
AU  - Roman Guggenberger
AU  - Egon Burian
AU  - Jonas Kroschke
AU  - Falko Ensle
PY  - 2026
JO  - Skeletal Radiology
DO  - 10.1007/s00256-026-05290-4
UR  - https://doi.org/10.1007/s00256-026-05290-4
ER  - 

APA

Obermüller, C., Bach, U., Zecca, F., Heidt, F., Lohezic, M., Mandava, S., Rodriguez, J. D. A., Wiesinger, F., Guggenberger, R., Burian, E., Kroschke, J., & Ensle, F. (2026). Deep learning-based chemical shift-artifact correction of ZTE MRI for enhanced bone depiction of the lumbar spine. Skeletal Radiology. https://doi.org/10.1007/s00256-026-05290-4

Source records