A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation

A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation

© 2018, Springer Nature Switzerland AG. A reliable Ultrasound (US)-to-US registration method to compensate for brain shift would substantially improve Image-Guided Neurological Surgery. Developing such a registration method is very challenging, due to factors such as the tumor resection, the complex...

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Main Authors: Luo, Jie (Author), Toews, Matthew (Author), Machado, Ines (Author), Frisken, Sarah (Author), Zhang, Miaomiao (Author), Preiswerk, Frank (Author), Sedghi, Alireza (Author), Ding, Hongyi (Author), Pieper, Steve (Author), Golland, Polina (Author), Golby, Alexandra (Author), Sugiyama, Masashi (Author), Wells III, William M. (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Springer International Publishing, 2021-11-05T14:13:57Z.
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