Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data

Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data

Intraoperative tissue deformation, known as brain shift, decreases the benefit of using preoperative images to guide neurosurgery. Non-rigid registration of preoperative magnetic resonance (MR) to intraoperative ultrasound (iUS) has been proposed as a means to compensate for brain shift. We focus on...

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Bibliographic Details
Main Authors: Machado, Inês (Author), Toews, Matthew (Author), George, Elizabeth (Author), Unadkat, Prashin (Author), Essayed, Walid (Author), Luo, Jie (Author), Teodoro, Pedro (Author), Carvalho, Herculano (Author), Martins, Jorge (Author), Golland, Polina (Author), Pieper, Steve (Author), Frisken, Sarah (Author), Golby, Alexandra (Author), Wells, William M. (Author), Ou, Yangming (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Elsevier BV, 2020-12-21T15:50:30Z.
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