Volume compression of MRI data using zerotrees of wavelet coefficients

Michael A. Pratt; Chee-Hung Henry Chu; Stephen T. C. Wong

doi:10.1117/12.255283

23 October 1996 Volume compression of MRI data using zerotrees of wavelet coefficients

Michael A. Pratt, Chee-Hung Henry Chu, Stephen T. C. Wong

Author Affiliations +

Proceedings Volume 2825, Wavelet Applications in Signal and Image Processing IV; (1996) https://doi.org/10.1117/12.255283
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Volume data such as those acquired by magnetic resonance imaging techniques can be compressed efficiently using the wavelet transform. Wavelet compression methods need to retain both the value and the location of the significant coefficients. We present experimental results demonstrating the use of zerotree encoding methods in wavelet compression can enhance the ability to further compress volume data.

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Michael A. Pratt, Chee-Hung Henry Chu, and Stephen T. C. Wong "Volume compression of MRI data using zerotrees of wavelet coefficients", Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); https://doi.org/10.1117/12.255283

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