ANIMAL+INSECT: Improved Cortical Structure Segmentation

An algorithm for improved automatic segmentation of gross anatomical structures of the human brain is presented that merges the output of a tissue classification process with gross anatomical region masks, automatically defined by non-linear registration of a given data set with a probabilistic anatomical atlas. Experiments with 20 real MRI volumes demonstrate that the method is reliable, robust and accurate. Manually and automatically defined labels of specific gyri of the frontal lobe are similar, with a Kappa index of 0.657.

[1]  M E Brummer,et al.  Hough transform detection of the longitudinal fissure in tomographic head images. , 1991, IEEE transactions on medical imaging.

[2]  Lih-Shyang Chen,et al.  Representation, display, and manipulation of 3D digital scenes and their medical applications , 1989, Comput. Vis. Graph. Image Process..

[3]  R. Rabbitt,et al.  3D brain mapping using a deformable neuroanatomy. , 1994, Physics in medicine and biology.

[4]  Alan C. Evans,et al.  Automatic 3D Regional MRI Segmentation and Statistical Probability Anatomy Maps , 1996 .

[5]  Alan C. Evans,et al.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data , 1998, IEEE Transactions on Medical Imaging.

[6]  H. H. Zachmann.  Interpretation of Cranial MR-Images using a Digital Atlas of the Human Head , 1991 .

[7]  Arthur W. Toga,et al.  A Probabilistic Atlas of the Human Brain: Theory and Rationale for Its Development The International Consortium for Brain Mapping (ICBM) , 1995, NeuroImage.

[8]  Alan C. Evans,et al.  An MRI-based stereotactic atlas from 250 young normal subjects , 1992 .

[9]  Ruzena Bajcsy,et al.  Three-Dimensional Computerized Brain Atlas For Elastic Matching: Creation And Initial Evaluation , 1988, Medical Imaging.

[10]  S P Raya,et al.  Low-level segmentation of 3-D magnetic resonance brain images-a rule-based system. , 1990, IEEE transactions on medical imaging.

[11]  O. Witte,et al.  Functional Mapping of the Human Brain , 2000 .

[12]  Russell M. Mersereau,et al.  Automatic Detection of Brain Contours in MRI Data Sets , 1991, IPMI.

[13]  M I Miller,et al.  Mathematical textbook of deformable neuroanatomies. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[14]  M. Mintun,et al.  Enhanced Detection of Focal Brain Responses Using Intersubject Averaging and Change-Distribution Analysis of Subtracted PET Images , 1988, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[15]  Louis K. Arata,et al.  Model-based 3D Analysis Of MR Images Of The Brain , 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.

[16]  Alan C. Evans,et al.  Automatic Quantification of Multiple Sclerosis Lesion Volume Using Stereotaxic Space , 1996, VBC.

[17]  Benoit M. Dawant,et al.  Morphometric analysis of white matter lesions in MR images: method and validation , 1994, IEEE Trans. Medical Imaging.

[18]  D. Collins,et al.  Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space , 1994, Journal of computer assisted tomography.

[19]  C J Taylor,et al.  A blackboard architecture for automating cephalometric analysis. , 1991, Medical informatics = Medecine et informatique.

[20]  Russell M. Mersereau,et al.  Automatic detection of brain contours in MRI data sets. , 1993, IEEE transactions on medical imaging.

[21]  D. Louis Collins,et al.  Automatic 3‐D model‐based neuroanatomical segmentation , 1995 .

[22]  J. Talairach,et al.  Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging , 1988 .

[23]  AC Evans,et al.  Automatic volume estimation of gross cerebral structures † † Supported by the U.S. Human Brain Map Project and the International Consortium for Brain Mapping. , 1998, NeuroImage.

[24]  Alan C. Evans,et al.  3D Anatomical Atlas of the Human Brain , 1998, NeuroImage.

[25]  G. Bruyn.  Atlas of the Cerebral Sulci, M. Ono, S. Kubik, Chad D. Abernathey (Eds.). Georg Thieme Verlag, Stuttgart, New York (1990), 232, DM 298 , 1990 .

[26]  James C. Gee,et al.  Probabilistic Matching of Brain Images , 1995 .

[27]  C. Broit.  Optimal registration of deformed images , 1981 .

[28]  Alan C. Evans,et al.  Multiple surface identification and matching in magnetic resonance images , 1994, Other Conferences.

[29]  Alan C. Evans,et al.  A method for identifying geometrically simple surfaces from three-dimensional images , 1998 .

[30]  I Kapouleas.  Automatic detection of white matter lesions in magnetic resonance brain images. , 1990, Computer methods and programs in biomedicine.

[31]  A P Dhawan,et al.  Knowledge-based multi-modality three-dimensional image analysis of the brain. , 1992, American journal of physiologic imaging.

[32]  Michael I. Miller,et al.  Deformable templates using large deformation kinematics , 1996, IEEE Trans. Image Process..

[33]  L. R. Dice.  Measures of the Amount of Ecologic Association Between Species , 1945 .

[34]  Jacob Cohen.  A Coefficient of Agreement for Nominal Scales , 1960 .

[35]  R. Thatcher.  Functional neuroimaging : technical foundations , 1994 .