Synthetic temporal bone CT generation from UTE-MRI using a cycleGAN-based deep learning model: advancing beyond CT-MR imaging fusion
Author:
Funder
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00330-024-10967-2.pdf
Reference23 articles.
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3. Lombardi AF, Ma Y-J, Jang H et al (2023) Synthetic CT in musculoskeletal disorders: a systematic review. Invest Radiol 58:43–59
4. Tyler DJ, Robson MD, Henkelman RM, Young IR, Bydder GM (2007) Magnetic resonance imaging with ultrashort TE (UTE) PULSE sequences: technical considerations. J Magn Reson Imaging 25:279–289
5. Locketz GD, Li PM, Fischbein NJ, Holdsworth SJ, Blevins NH (2016) Fusion of computed tomography and PROPELLER diffusion-weighted magnetic resonance imaging for the detection and localization of middle ear cholesteatoma. JAMA Otolaryngol Head Neck Surg 142:947–953
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