Accurate exclusion of kidney regions affected by susceptibility artifact in blood oxygenation level-dependent (BOLD) images using deep-learning-based segmentation

Susceptibility artifact (SA) is common in renal blood oxygenation level-dependent (BOLD) images, and including the SA-affected region could induce much error in renal oxygenation quantification. In this paper, we propose to exclude kidney regions affected by SA in gradient echo images with different...

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Detalles Bibliográficos
Autores principales: Ni, Chang, Mu, Xin, Wu, Mingyan, Li, Yanbin, Zhang, Yuyao, Qi, Haikun, Zhang, Jeff L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628125/
https://www.ncbi.nlm.nih.gov/pubmed/37932431
http://dx.doi.org/10.1038/s41598-023-46760-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628125/
https://www.ncbi.nlm.nih.gov/pubmed/37932431
http://dx.doi.org/10.1038/s41598-023-46760-2

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