Isotropic multiresolution analysis for 3D-textures and applications in cardiovascular imaging

Simon K. Alexander; Robert Azencott; Manos Papadakis

doi:10.1117/12.733403

27 September 2007 Isotropic multiresolution analysis for 3D-textures and applications in cardiovascular imaging

Simon K. Alexander, Robert Azencott, Manos Papadakis

Proceedings Volume 6701, Wavelets XII; 67011S (2007) https://doi.org/10.1117/12.733403
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

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.

Citation Download Citation

Simon K. Alexander, Robert Azencott, and Manos Papadakis "Isotropic multiresolution analysis for 3D-textures and applications in cardiovascular imaging", Proc. SPIE 6701, Wavelets XII, 67011S (27 September 2007); https://doi.org/10.1117/12.733403

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