Automatic MRI Database Exploration and Applications

The design of representative models of the human body is of great interest to medical doctors. Qualitative information about the characteristics of the brain is widely available, but due to the volume of information that needs to be analyzed and the complexity of its structure, rarely is there quantification according to a standard model. To address this problem, we propose in this paper an automatic method to retrieve corresponding structures from a database of medical images. This procedure being local and fast, will permit navigation through large databases in a practical amount of time. We present as examples of applications the building of an average volume of interest and preliminary results of classification according to morphology.

[1]  G. Schaltenbrand,et al.  Atlas for Stereotaxy of the Human Brain , 1977 .

[2]  Nicholas Ayache,et al.  Automatic Retrieval of Anatomical Structures in 3D Medical Images , 1995, CVRMed.

[3]  Cynthia G. Wible,et al.  Caudate, putamen, and globus pallidus volume in schizophrenia: A quantitative MRI study , 1995, Psychiatry Research: Neuroimaging.

[4]  Nicholas Ayache,et al.  A scheme for automatically building three-dimensional morphometric anatomical atlases: application to a skull atlas , 1998, Medical Image Anal..

[5]  Jean-Philippe Thirion,et al.  Fast Non-Rigid Matching of 3D Medical Images , 1995 .

[6]  Nicholas Ayache,et al.  Smoothing and Matching of 3-D Space Curves , 1992, ECCV.

[7]  J. Ehrhardt,et al.  Thalamic abnormalities in schizophrenia visualized through magnetic resonance image averaging. , 1994, Science.

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

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

[10]  Theodosios Pavlidis,et al.  Structural pattern recognition , 1977 .

[11]  Nicholas Ayache,et al.  A General Scheme for Automatically Building 3D Morphometric Anatomical Atlases: application to a Sku , 1995 .

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

[13]  Nicholas Ayache,et al.  Application of an Automatically Built 3D Morphometric Brain Atlas: Study of Cerebral Ventricle Shape , 1996, VBC.

[14]  Keinosuke Fukunaga,et al.  Introduction to Statistical Pattern Recognition , 1972 .

[15]  Bernard Gibaud,et al.  An Anatomic-Based 3D Registration System of Multimodality and Atlas Data in Neurosurgery , 1991, IPMI.

[16]  D. Louis Collins,et al.  Automated 3D nonlinear deformation procedure for determination of gross morphometric variability in human brain , 1994, Other Conferences.

[17]  Morten Bro-Nielsen,et al.  Fast Fluid Registration of Medical Images , 1996, VBC.

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

[19]  J. F. Lebruchec,et al.  An automated method for the normalization of scintigraphic images. , 1983, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[20]  David Dean,et al.  Cross Validation of Three Inter-Patients Matching Methods , 1996, VBC.

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

[22]  Prof. Dr. Heiko Braak,et al.  Architectonics of the Human Telencephalic Cortex , 1980, Studies of Brain Function.

[23]  Alex Pentland,et al.  Characterization of Neuropathological Shape Deformations , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[24]  T. Greitz,et al.  A computerized brain atlas: construction, anatomical content, and some applications. , 1991, Journal of computer assisted tomography.