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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...
Autores principales: | SHIMAMOTO, Takafumi, SANO, Yuko, YOSHIMITSU, Kitaro, MASAMUNE, Ken, MURAGAKI, Yoshihiro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Japan Neurosurgical Society
2023
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Materias: | |
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 |
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