Fully automatic segmentation of the brain from T1‐weighted MRI using Bridge Burner algorithm
暂无分享,去创建一个
Henry Rusinek | Artem Mikheev | Gregory Nevsky | Siddharth Govindan | Robert Grossman | H. Rusinek | A. Mikheev | G. Nevsky | S. Govindan | R. Grossman
[1] J. Mazziotta,et al. Rapid Automated Algorithm for Aligning and Reslicing PET Images , 1992, Journal of computer assisted tomography.
[2] Anders M. Dale,et al. A hybrid approach to the Skull Stripping problem in MRI , 2001, NeuroImage.
[3] Jung-Hyun Kim,et al. Evaluation of automated and semi-automated skull-stripping algorithms using similarity index and segmentation error , 2003, Comput. Biol. Medicine.
[4] U Tiede,et al. 3-D segmentation of MR images of the head for 3-D display. , 1990, IEEE transactions on medical imaging.
[5] Armando Manduca,et al. Methodological considerations for measuring rates of brain atrophy , 2003, Journal of magnetic resonance imaging : JMRI.
[6] A. Toga,et al. Detection and mapping of abnormal brain structure with a probabilistic atlas of cortical surfaces. , 1997, Journal of computer assisted tomography.
[7] H Rusinek,et al. Atrophy rate in medial temporal lobe during progression of Alzheimer disease , 2004, Neurology.
[8] A. M. Dale,et al. A hybrid approach to the skull stripping problem in MRI , 2004, NeuroImage.
[9] Henry Rusinek,et al. Regional brain atrophy rate predicts future cognitive decline: 6-year longitudinal MR imaging study of normal aging. , 2003, Radiology.
[10] Nick C Fox,et al. Imaging cerebral atrophy: normal ageing to Alzheimer's disease , 2004, The Lancet.
[11] W. Bank. The Human Brain. Surface, Three-Dimensional Sectional Anatomy and MRI , 1993 .
[12] David A. Rottenberg,et al. Quantitative comparison of four brain extraction algorithms , 2004, NeuroImage.
[13] J. Trojanowski,et al. Biological markers for therapeutic trials in Alzheimer’s disease Proceedings of the biological markers working group; NIA initiative on neuroimaging in Alzheimer’s disease , 2003, Neurobiology of Aging.
[14] Henry Rusinek,et al. Analyzing multimodality tomographic images and associated regions of interest with MIDAS , 2001, SPIE Medical Imaging.
[15] Fred L. Bookstein. Endophrenology: New Statistical Techniques for Studies of Brain Form: Life on the Hyphen in Neuro-informatics , 1996, NeuroImage.
[16] Nick C Fox,et al. Computer-assisted imaging to assess brain structure in healthy and diseased brains , 2003, The Lancet Neurology.
[17] Stephen M Smith,et al. Fast robust automated brain extraction , 2002, Human brain mapping.
[18] Gregory G. Brown,et al. Quantitative evaluation of automated skull‐stripping methods applied to contemporary and legacy images: Effects of diagnosis, bias correction, and slice location , 2006, Human brain mapping.
[19] D L Hill,et al. Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures. , 1997, Medical physics.
[20] W. A. Hanson,et al. Interactive 3D segmentation of MRI and CT volumes using morphological operations. , 1992, Journal of computer assisted tomography.
[21] W. H. Peters,et al. Improved digital image processing technique to investigate plastic zone formation in steel , 1986, Image Vis. Comput..
[22] William M. Wells,et al. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation , 2004, IEEE Transactions on Medical Imaging.
[23] Dinggang Shen,et al. Very High-Resolution Morphometry Using Mass-Preserving Deformations and HAMMER Elastic Registration , 2003, NeuroImage.
[24] Rachid Deriche,et al. Recursive filtering and edge tracking: two primary tools for 3D edge detection , 1991, Image Vis. Comput..
[25] Richard M. Leahy,et al. BrainSuite: An Automated Cortical Surface Identification Tool , 2000, MICCAI.