Andre Robatino

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We developed a three-dimensional (3D) digitized atlas of the human brain to visualize spatially complex structures. It was designed for use with magnetic resonance (MR) imaging data sets. Thus far, we have used this atlas for surgical planning, model-driven segmentation, and teaching. We used a combination of automated and supervised segmentation methods to(More)
Registration is the process of the alignment of medical image data. Nonlinear registration is the set of techniques that allow the alignment of data sets that are mismatched in a nonlinear or nonuniform manner. Such misalignment can be caused by a physical deformation process, or can be due to intrinsic shape differences. For example, deformation of the(More)
RATIONALE AND OBJECTIVES The authors developed a real-time, interactive three-dimensional (3D) segmentation pipeline that uses relatively low-level segmentation operations and provides two-dimensional and 3D visualization through a user-friendly graphical interface. MATERIALS AND METHODS The low-level segmentation processes were implemented on a massively(More)
M.E. Shenton', R. Kikinis', R. W. McCarley', P. Saiviroonpom2, H.H. Hokama', A. Robatino2, D. MetcalfL, C.G. Wible', C.M. Portas', D.V. Iosifescu', R. Domino', J.M. Goldstein', F.A. Jolesz2 'Clinical Neuroscience Division, Neuroscience Laboratory, Department of Psychiatry, Harvard Medical School; 2Surgical Planning Laboratory, MRI Division, Department of(More)
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