Automatic analysis of cerebral atrophy.

3D MR data obtained for 10 healthy control subjects have been used to build a brain atlas. The atlas is built in four stages. First, a set of features that are unambiguously definable and anatomically relevant need to be computed for each item in the database. The chosen features are crest lines along which the maximal principal curvature of the surface of the brain is maximal in its associated principal direction. Second, a nonrigid registration algorithm is used to determine the common crest lines among the subjects in the database. These crest lines form the structure of the atlas. Third, a set of crest lines is taken as a reference set and a modal analysis is performed to determine the fundamental deformations that are necessary to bring the individual data in line with the reference set. The deformations are averaged and the set of mean crest lines becomes the atlas. Finally, the standard deviation of the deformations between the atlas and the items in the database defines the normal variation in the relative positions of the crest lines in a healthy population. In a fully automatic procedure, the crest lines on the surface of the brain adjacent to the cerebral ventricles in a patient with primary progressive aphasia were compared to the atlas; confirmation that the brain of this patient demonstrates atrophy was provided by stereological analysis that showed that the volume of the left cerebral hemisphere is 48.8 ml (CE 2.8%) less than the volume of the right cerebral hemisphere in the region of the temporal and frontal lobes. When the amplitude of the deformations necessary to register the crest lines obtained for the patient with the atlas were greater than three standard deviations beyond the variability inherent in the atlas, the deformation was considered significant. Four of the main deformation modes of the longest crest line of the surface of the brain adjacent to the cerebral ventricles were significantly different in the patient with primary progressive aphasia compared to the atlas. The ventricles are preferentially enlarged in the left cerebral hemisphere. Furthermore, they are closer together posteriorly and further apart anteriorly than in the atlas. These observations may be indicative of the atrophy of the temporal and frontal lobes of the left cerebral hemisphere noted in the patient. Ultimately, the approach may provide a useful screening technique for identifying brain diseases involving cerebral atrophy. Serial studies of individual patients may provide insights into the processes controlling or affected by particular disease.

[1]  Zhengyou Zhang On Local Matching of Free-Form Curves , 1992 .

[2]  Fred L. Bookstein,et al.  Thin-Plate Splines and the Atlas Problem for Biomedical Images , 1991, IPMI.

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

[4]  N Roberts,et al.  Vertical LM sectioning and parallel CT scanning designs for stereology: application to human lung , 1993, Journal of microscopy.

[5]  Harry A. Whitaker,et al.  Studies in neurolinguistics , 1976 .

[6]  Alex Pentland,et al.  Closed-Form Solutions for Physically Based Shape Modeling and Recognition , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

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

[8]  G. Press,et al.  Methods for measuring brain morphologic features on magnetic resonance images. Validation and normal aging. , 1990, Archives of neurology.

[9]  Nicholas Ayache,et al.  Fast segmentation, tracking, and analysis of deformable objects , 1993, 1993 (4th) International Conference on Computer Vision.

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

[11]  Alexis Gourdon,et al.  The 3D Marching Lines Algorithm , 1996, CVGIP Graph. Model. Image Process..

[12]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  K. Rim,et al.  Frontal ventricular dimensions on normal computed tomography. , 1976, AJR. American journal of roentgenology.

[14]  J. Hellige Hemispheric Asymmetry: What's Right and What's Left , 1993 .

[15]  Alex Pentland,et al.  Shape analysis of brain structures using physical and experimental modes , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[16]  K. Ranga R. Krishnan,et al.  A comparison of stereology and segmentation techniques for volumetric measurements of lateral ventricles in magnetic resonance imaging , 1995, Psychiatry Research: Neuroimaging.

[17]  P. Broca Sur le siège de la faculté du langage articulé , 1865 .

[18]  Guido Gerig,et al.  Segmentation of 3D Objects from MRI Volume Data Using Constrained Elastic Deformations of Flexible Fourier Surface Models , 1995, CVRMed.

[19]  A. Gokhale Utility of the horizontal slice for stereological characterization of lineal features , 1993 .

[20]  W R Kinkel,et al.  Changes in size of normal lateral ventricles during aging determined by computerized tomography , 1976, Neurology.

[21]  N Roberts,et al.  Estimation of fetal volume by magnetic resonance imaging and stereology. , 1994, The British journal of radiology.

[22]  Neil Roberts,et al.  An exploratory study of the relationship between face recognition memory and the volume of medial temporal lobe structures in healthy young males. , 1998, Behavioural neurology.

[23]  Elizabeth K. Warrington,et al.  Category specific phonological dysgraphia , 1985, Neuropsychologia.

[24]  W. A. Evans AN ENCEPHALOGRAPHIC RATIO FOR ESTIMATING VENTRICULAR ENLARGEMENT AND CEREBRAL ATROPHY , 1942 .

[25]  C. Jack,et al.  Asymmetric cortical degenerative syndromes , 1992, Neurology.

[26]  Timothy F. Cootes,et al.  Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..

[27]  M. LeMay,et al.  Abnormalities of the left temporal lobe and thought disorder in schizophrenia. A quantitative magnetic resonance imaging study. , 1992, The New England journal of medicine.

[28]  Richard A. Robb,et al.  A Software System for Interactive and Quantitative Analysis of Biomedical Images , 1990 .

[29]  H J Gundersen,et al.  The efficiency of systematic sampling in stereology and its prediction * , 1987, Journal of microscopy.