Image analysis – Applications – Biomedical applications
Reexamination Certificate
2006-11-13
2011-12-13
Tang, Minh N (Department: 2858)
Image analysis
Applications
Biomedical applications
C382S133000
Reexamination Certificate
active
08077945
ABSTRACT:
It is intended to propose a technique whereby a nerve cell is morphologically analyzed automatically based on a three-dimensional image of the nerve cell. First, a dendritic projection is traced by using the scale space method. In this step, irregularities are reduced by using the σ-convolution smoothing method and thus the center line of the dendritic projection is identified. Next, a negative curvature is searched for by the Hess tensor method. The part corresponding to the negative curvature in all coordinate axes is judged as the area occupied by “heads”. The center of this area (heads) is referred to as the spine position. Approximation is made on the assumption that the spine head has an ellipsoidal shape. Thus, the minor diameter, medium diameter and major diameter of the ellipsoid are calculated. From the spine position, a perpendicular line is dropped toward the dendritic projection closest thereto and this perpendicular line is considered as the column part. By combining the dendritic projection with the spine head and column thus obtained, the final morphological shape of the nerve cell is obtained.
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Santos et al., “A Mathematical Morphology Approach to the Extraction of Nerve Cell Structures,”IEE Conference Publication, No. 465, pp. 823-826, 1999.
Kawato Suguru
Mitsuhashi Kenji
Oliff & Berridg,e PLC
Tang Minh N
The University of Tokyo
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