Precise Brain-shift Prediction by New Combination of W-Net Deep Learning for Neurosurgical Navigation

Brain tissue deformation during surgery significantly reduces the accuracy of image-guided neurosurgeries. We generated updated magnetic resonance images (uMR) in this study to compensate for brain shifts after dural opening using a convolutional neural network (CNN). This study included 248 consecu...

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Detalles Bibliográficos
Autores principales: SHIMAMOTO, Takafumi, SANO, Yuko, YOSHIMITSU, Kitaro, MASAMUNE, Ken, MURAGAKI, Yoshihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japan Neurosurgical Society 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406456/
https://www.ncbi.nlm.nih.gov/pubmed/37164701
http://dx.doi.org/10.2176/jns-nmc.2022-0350

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406456/
https://www.ncbi.nlm.nih.gov/pubmed/37164701
http://dx.doi.org/10.2176/jns-nmc.2022-0350

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