Algorithms for 2D and 3D image description based on the IAS

Author

Cullip, Timothy J. ; Fredericksen, Robin E. ; Gauch, John M. ; Pizer, Stephen M.

Author_Institution

North Carolina Univ., Chapel Hill, NC, USA

fYear

1990

fDate

22-25 May 1990

Firstpage

102

Lastpage

107

Abstract

The algorithms used in computing the intensity axis of symmetry (IAS) for 2D and 3D medical images are described. The basic 2D algorithms, along with the algorithms needed to incorporate scale space, are described. A brief discussion of the extensions needed to work with 3D images is given. The basic approach is to treat the image as a deformable intensity surface which is contracted onto the IAS. The primitive regions of the segmentation are identified by the branches in the resulting tree-like structure. A hierarchy is produced by following the simplification of the branching through scale space. For comparison papers see ibid., p.94-101 and ibid., p.108-14

Keywords

computerised picture processing; medical computing; 2D and 3D image description; CT image; IAS; IAS segmentation; MRI image; brain; branching; branching structures; chest; deformable intensity surface; image segmentation; intensity axis of symmetry; medical images; primitive regions; ridge structures; scale space; segmentation; Active contours; Biomedical imaging; Computer displays; Differential equations; Image segmentation; Skeleton; Surface fitting; Surface treatment; Three dimensional displays; Two dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Visualization in Biomedical Computing, 1990., Proceedings of the First Conference on

Conference_Location

Atlanta, GA

Print_ISBN

0-8186-2039-0

Type

conf

DOI

10.1109/VBC.1990.109308

Filename

109308