Multi-atlas and label fusion approach for patient-specific MRI based skull estimation

Multi-atlas and label fusion approach for patient-specific MRI based skull estimation

Purpose MRI-based skull segmentation is a useful procedure for many imaging applications. This study describes a methodology for automatic segmentation of the complete skull from a single T1-weighted volume. Methods The skull is estimated using a multi-atlas segmentation approach. Using a whole head...

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Bibliographic Details
Main Authors: Torrado-Carvajal, Angel (Author), Herraiz, Joaquin L. (Author), Hernandez-Tamames, Juan A. (Author), San Jose-Estepar, Raul (Author), Eryaman, Yigitcan (Author), Rozenholc, Yves (Author), Adalsteinsson, Elfar (Contributor), Wald, Lawrence L. (Author), Malpica, Norberto (Author)
Other Authors: Institute for Medical Engineering and Science (Contributor), Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Wiley Blackwell, 2017-07-14T19:40:20Z.
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