Brain Morphometrics Using Geometry-Based Shape Transformations

This paper presents a methodology for shape analysis of anatomical structures. A template shape is used as a unit, and a shape transformation mapping the template to a particular structure is used to quantify the shape of the structure with respect to the template. The geometric characteristics of the boundaries of the template and of an individual structure are used to deene corresponding regions between the template and the structure. These correspondences are then used to determine the shape transformation, which is based on an elastic adaptation of the template. Regional inter-subject and inter-population shape diierences are then identiied by comparing the corresponding shape transformations point-wise.

[1]  Neil Roberts,et al.  Automatic Analysis of Normal Brain Dissymmetry of Males and Females in MR Images , 1998, MICCAI.

[2]  Jerry L. Prince,et al.  An active contour model for mapping the cortex , 1995, IEEE Trans. Medical Imaging.

[3]  M S Buchsbaum,et al.  Magnetic resonance and positron emission tomography imaging of the corpus callosum: size, shape and metabolic rate in unipolar depression. , 1993, Journal of affective disorders.

[4]  Jerry L Prince,et al.  A computerized approach for morphological analysis of the corpus callosum. , 1996, Journal of computer assisted tomography.

[5]  Hemant D. Tagare,et al.  Non-rigid Curve Correspondence for Estimating Heart Motion , 1997, IPMI.

[6]  Fred L. Bookstein Visualizing Group Differences in Outline Shape: Methods from Biometrics of Landmark Points , 1996, VBC.

[7]  R. Holloway,,et al.  Sexual dimorphism in the human corpus callosum. , 1982, Science.

[8]  James S. Duncan,et al.  Boundary Finding with Parametrically Deformable Models , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Fred L. Bookstein,et al.  Principal Warps: Thin-Plate Splines and the Decomposition of Deformations , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  C. Davatzikos,et al.  Using a deformable surface model to obtain a shape representation of the cortex , 1995, Proceedings of International Symposium on Computer Vision - ISCV.

[11]  Jean-Philippe Thirion,et al.  Non-rigid matching using demons , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

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

[13]  Timothy F. Cootes,et al.  Combining point distribution models with shape models based on finite element analysis , 1994, Image Vis. Comput..

[14]  Christopher J. Taylor,et al.  Automatic Construction of Eigenshape Models by Genetic Algorithm , 1997, IPMI.

[15]  F L Bookstein,et al.  Biometrics, biomathematics and the morphometric synthesis. , 1996, Bulletin of mathematical biology.

[16]  R. Bleier,et al.  Variations in human corpus callosum do not predict gender: a study using magnetic resonance imaging. , 1988, Behavioral neuroscience.

[17]  Fred L. Bookstein Combining "Vertical" and "Horizontal" Features from Medical Images , 1995, CVRMed.

[18]  C. Nastar,et al.  Classification of nonrigid motion in 3D images using physics-based vibration analysis , 1994, Proceedings of IEEE Workshop on Biomedical Image Analysis.

[19]  Fred L. Bookstein,et al.  Three Dimensional MR-Based Morphometric Comparison of Schizophrenic and Normal Cerebral Ventricles , 1996, VBC.

[20]  K. Worsley,et al.  Statistical analysis of cortical surfaces , 1996, NeuroImage.

[21]  Guido Gerig,et al.  Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models , 1996, Medical Image Anal..

[22]  C Del Favero,et al.  Shape of the human corpus callosum in childhood. Elliptic Fourier analysis on midsagittal magnetic resonance scans. , 1996, Investigative radiology.

[23]  Y. Huang,et al.  Sex but no hand difference in the isthmus of the corpus callosum , 1992, Neurology.

[24]  D. V. van Essen,et al.  Computerized Mappings of the Cerebral Cortex: A Multiresolution Flattening Method and a Surface-Based Coordinate System , 1996, Journal of Cognitive Neuroscience.

[25]  S. Variend,et al.  Failure to demonstrate sexual dimorphism of the corpus callosum in childhood. , 1985, Journal of anatomy.

[26]  Michael I. Miller,et al.  Individualizing Anatomical Atlases of the Head , 1996, VBC.

[27]  R. Bajcsy,et al.  Elastically Deforming 3D Atlas to Match Anatomical Brain Images , 1993, Journal of computer assisted tomography.

[28]  Fred L. Bookstein,et al.  Morphometric Tools for Landmark Data. , 1998 .

[29]  C. Davatzikos,et al.  Use of a Brain-Image Database to Determine Whether Spatial Distribution of Brain Lesions Associated with Closed-Head Injury Predicts Subsequent Development of Attention-Deficit Hyperactivity Disorder 1 , 1998 .

[30]  Christopher J. Taylor,et al.  Automatic Landmark Identification Using a New Method of Non-rigid Correspondence , 1997, IPMI.

[31]  Christos Davatzikos,et al.  Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models , 1997, Comput. Vis. Image Underst..

[32]  D. Louis Collins,et al.  Automatic 3D estimation of gross morphometric variability in human brain , 1996, NeuroImage.

[33]  Gene H. Golub,et al.  Matrix computations , 1983 .

[34]  C Davatzikos,et al.  Sex differences in anatomic measures of interhemispheric connectivity: correlations with cognition in women but not men. , 1998, Cerebral cortex.

[35]  Ruzena Bajcsy,et al.  Multiresolution elastic matching , 1989, Comput. Vis. Graph. Image Process..

[36]  J. Régis,et al.  Effects of handedness and sex on the morphology of the corpus callosum: A study with brain magnetic resonance imaging , 1991, Brain and Cognition.

[37]  Ramesh C. Jain,et al.  Invariant surface characteristics for 3D object recognition in range images , 1985, Comput. Vis. Graph. Image Process..

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

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

[40]  Stan Sclaroff,et al.  On modal modeling for medical images: underconstrained shape description and data compression , 1994, Proceedings of IEEE Workshop on Biomedical Image Analysis.