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

doi:doi:10.57702/mr9nv0pr

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

This study successfully demonstrated the feasibility of translating standard sagittal spine MRI into the CT domain, enabling subsequent CT-based image processing.

BibTex:

@dataset{Robert_Graf_and_Joachim_Schmitt_and_Dr_Sarah_Schlaeger_and_Hendrik_Kristian_Möller_and_Vasiliki_Sideri-Lampretsa_and_Anjany_Sekuboyina_and_Prof_Dr_Sandro_Manuel_Krieg_and_PD_Dr_Benedikt_Wiestler_and_Prof_Dr_Bjoern_Menze_and_Prof_Dr_Daniel_Rueckert_and_Prof_Dr_Jan_Stefan_Kirschke_2024,
    abstract = {This study successfully demonstrated the feasibility of translating standard sagittal spine MRI into the CT domain, enabling subsequent CT-based image processing.},
    author = {Robert Graf and Joachim Schmitt and Dr. Sarah Schlaeger and Hendrik Kristian Möller and Vasiliki Sideri-Lampretsa and Anjany Sekuboyina and Prof. Dr. Sandro Manuel Krieg and PD Dr. Benedikt Wiestler and Prof. Dr. Bjoern Menze and Prof. Dr. Daniel Rueckert and Prof. Dr. Jan Stefan Kirschke},
    doi = {10.57702/mr9nv0pr},
    institution = {No Organization},
    keyword = {'Denoising diffusion', 'MRI to CT translation', 'Spinal segmentation'},
    month = {dec},
    publisher = {TIB},
    title = {Denoising diffusion-based MRI to CT translation enables automated spinal segmentation},
    url = {https://service.tib.eu/ldmservice/dataset/denoising-diffusion-based-mri-to-ct-translation-enables-automated-spinal-segmentation},
    year = {2024}
}