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      Fast robust automated brain extraction.

      Human Brain Mapping

      methods, instrumentation, Magnetic Resonance Imaging, Humans, physiology, anatomy & histology, Brain, Animals, Algorithms

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          Abstract

          An automated method for segmenting magnetic resonance head images into brain and non-brain has been developed. It is very robust and accurate and has been tested on thousands of data sets from a wide variety of scanners and taken with a wide variety of MR sequences. The method, Brain Extraction Tool (BET), uses a deformable model that evolves to fit the brain's surface by the application of a set of locally adaptive model forces. The method is very fast and requires no preregistration or other pre-processing before being applied. We describe the new method and give examples of results and the results of extensive quantitative testing against "gold-standard" hand segmentations, and two other popular automated methods. Copyright 2002 Wiley-Liss, Inc.

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          Journal
          12391568
          10.1002/hbm.10062

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