Fast robust automated brain extraction Export

@article{Smith02, 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 ldquogold-standardrdquo hand segmentations, and two other popular automated methods. Hum. Brain Mapping 17:143-155, 2002. {\copyright} 2002 Wiley-Liss, Inc.}, address = {Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, Department of Clinical Neurology, Oxford University, John Radcliffe Hospital, Headington, Oxford, United Kingdom}, author = {Smith, S. M.}, citeulike-article-id = {566981}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/hbm.10062}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/12391568}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=12391568}, citeulike-linkout-3 = {http://www3.interscience.wiley.com/cgi-bin/abstract/98517506/ABSTRACT}, doi = {10.1002/hbm.10062}, issn = {1097-0193}, journal = {Human Brain Mapping}, keywords = {3d-imaging, brain, fast-deformation, medical-imaging, reconstruction, robust, segmentation}, month = {November}, number = {3}, pages = {143--155}, posted-at = {2009-11-02 15:05:43}, priority = {2}, title = {Fast robust automated brain extraction}, url = {http://dx.doi.org/10.1002/hbm.10062}, volume = {17}, year = {2002} }

TY - JOUR ID - Smith02 L3 - citeulike-article-id:566981 N2 - 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 ldquogold-standardrdquo hand segmentations, and two other popular automated methods. Hum. Brain Mapping 17:143-155, 2002. © 2002 Wiley-Liss, Inc. IS - 3 JF - Human Brain Mapping SN - 1097-0193 AD - Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, Department of Clinical Neurology, Oxford University, John Radcliffe Hospital, Headington, Oxford, United Kingdom EP - 155 TI - Fast robust automated brain extraction VL - 17 SP - 143 KW - 3d-imaging KW - brain KW - fast-deformation KW - medical-imaging KW - reconstruction KW - robust KW - segmentation AU - Smith, SM PY - 2002/11// UR - http://dx.doi.org/10.1002/hbm.10062 ER -