Morphometric Analysis of Brain Structures for Improved Discrimination

We perform discriminative analysis of brain structures using morphometric information. Spherical harmonics technique and point distribution model are used for shape description. Classification is performed using linear discriminants and support vector machines with several feature selection approaches. We consider both inclusion and exclusion of volume information in the discrimination. We perform extensive experimental studies by applying different combinations of techniques to hippocampal data in schizophrenia and achieve best jackknife classification accuracies of 95% (whole set) and 90% (right-handed males), respectively. Our results find that the left hippocampus is a better predictor than the right in the complete dataset, but that the right hippocampus is a stronger predictor than the left in the right-handed male subset. We also propose a new method for visualization of discriminative patterns.

[1]  W. Eric L. Grimson,et al.  Performance Issues in Shape Classification , 2002, MICCAI.

[2]  David G. Stork,et al.  Pattern Classification (2nd ed.) , 1999 .

[3]  Fillia Makedon,et al.  Hippocampal shape analysis: surface-based representation and classification , 2003, SPIE Medical Imaging.

[4]  David G. Stork,et al.  Pattern Classification , 1973 .

[5]  Ron Kikinis,et al.  Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002 , 2002, Lecture Notes in Computer Science.

[6]  Martin Styner,et al.  Shape versus Size: Improved Understanding of the Morphology of Brain Structures , 2001, MICCAI.

[7]  Shigeo Abe DrEng.  Pattern Classification , 2001, Springer London.

[8]  N C Andreasen,et al.  Workshop on schizophrenia. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[9]  L. A. Flashman,et al.  Principal components analysis of hippocampal shape in schizophrenia , 2003, Schizophrenia Research.

[10]  Guido Gerig,et al.  Parametrization of Closed Surfaces for 3-D Shape Description , 1995, Comput. Vis. Image Underst..

[11]  U. Grenander,et al.  Hippocampal morphometry in schizophrenia by high dimensional brain mapping. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Branislav Jaramaz,et al.  Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000 , 2000, Lecture Notes in Computer Science.

[13]  W. Eric L. Grimson,et al.  Small Sample Size Learning for Shape Analysis of Anatomical Structures , 2000, MICCAI.

[14]  Terry M. Peters,et al.  Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 , 2003, Lecture Notes in Computer Science.

[15]  M. Miller,et al.  Hippocampal deformities in schizophrenia characterized by high dimensional brain mapping. , 2002, The American journal of psychiatry.

[16]  Wiro J. Niessen,et al.  Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001 , 2001, Lecture Notes in Computer Science.

[17]  Guido Gerig,et al.  Elastic model-based segmentation of 3-D neuroradiological data sets , 1999, IEEE Transactions on Medical Imaging.

[18]  M. Tinkham and Group,et al.  Selected Publications , 2004 .

[19]  Dana H. Ballard,et al.  Computer Vision , 1982 .

[20]  Martin Styner,et al.  Automatic and Robust Computation of 3D Medial Models Incorporating Object Variability , 2003, International Journal of Computer Vision.