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- W2000228724 abstract "The accurate segmentation of the brain from three-dimensional medical imagery is important as the basis for visualization, morphometry, surgical planning and intraoperative navigation. The complex and variable nature of brain anatomy makes recognition of the brain boundaries a difficult problem and frustrates segmentation schemes based solely on local image features. We have developed a deformable surface model of the brain as a mechanism for utilizing a priori anatomical knowledge in the segmentation process. The active surface template uses an energy minimization scheme to find a globally consistent surface configuration given a set of potentially ambiguous image features. Solution of the entire 3D problem at once produces superior results to those achieved using a slice by slice approach. We have achieved good results with MR image volumes of both normal and abnormal subjects. Evaluation of the segmentation results has been performed using cadaver studies." @default.
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- W2000228724 date "1994-05-11" @default.
- W2000228724 modified "2023-09-23" @default.
- W2000228724 title "<title>Segmentation of the brain from 3D MRI using a hierarchical active surface template</title>" @default.
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- W2000228724 doi "https://doi.org/10.1117/12.175044" @default.
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