Translator Disclaimer
16 September 1994 Subband analysis and synthesis of volumetric medical images using wavelet
Author Affiliations +
Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185913
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
Abstract
We present in this paper a study of subband analysis and synthesis of volumetric medical images using 3D separable wavelet transforms. With 3D wavelet decomposition, we are able to investigate the image features at different scale levels that correspond to certain characteristics of biomedical structures contained in the volumetric images. The volumetric medical images are decomposed using 3D wavelet transforms to form a multi-resolution pyramid of octree structure. We employ a 15-subband decomposition in this study, where band 1 represents the subsampled original volumetric images and other subbands represent various high frequency components of a given image. Using the available knowledge of the characteristics of various medical images, an adaptive quantization algorithm based on clustering with spatial constraints is developed. Such adaptive quantization enables us to represent the high frequency subbands at low bit rate without losing clinically useful information. The preliminary results of analysis and synthesis show that, by combining the wavelet decomposition with the adaptive quantization, the volumetric biomedical images can be coded at low bit rate while still preserving the desired details of biomedical structures.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chang Wen Chen, Ya-Qin Zhang, and Kevin J. Parker "Subband analysis and synthesis of volumetric medical images using wavelet", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185913
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
Back to Top