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Proceedings Paper

Isotropic multiresolution analysis for 3D-textures and applications in cardiovascular imaging
Author(s): Simon K. Alexander; Robert Azencott; Manos Papadakis
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Paper Abstract

The main goal of this paper is to introduce formally the concept of texture segmentation/identification in three dimensional images. A major problem in texture texture segmentation/identification is the lack of robustness to both translations and rotations. This problem is more difficult to overcome in 3D-images, such as those generated by modalities such as x-ray CT and MRI. To facilitate 3D-texture segmentation/identification which is robust to 3D rigid motions we formally introduce the concept of steerable feature maps and of appropriate metrics in the feature space. We also introduce a new multiscale representation giving rise to a steerable feature map used in our exploratory project in cardiovascular imaging and we propose a 3D-texture segmentation algorithm utilizing this steerable feature map.

Paper Details

Date Published: 27 September 2007
PDF: 12 pages
Proc. SPIE 6701, Wavelets XII, 67011S (27 September 2007); doi: 10.1117/12.733403
Show Author Affiliations
Simon K. Alexander, Univ. of Houston (United States)
Robert Azencott, Univ. of Houston (United States)
Manos Papadakis, Univ. of Houston (United States)

Published in SPIE Proceedings Vol. 6701:
Wavelets XII
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)

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