1 April 2006Compression of 3-D echocardiographic images using a modified 3-D set-partitioning-in-hierarchical-trees algorithm based on a 3-D wavelet packet transform
Xiyi Hang California State Univ./Northridge (United States) Neil L. Greenberg The Cleveland Clinic Foundation (United States) Yuan F. Zheng The Ohio State Univ. (United States) James D. Thomas Cleveland Clinic Foundation (United States)
An efficient compression strategy is indispensable for 3-D digital echocardiography, which can provide more accurate diagnostic information than 2-D echocardiography without geometric assumption, but unfortunately requires a huge storage space. We describe a new set partitioning in hierarchical trees (SPIHT) algorithm that is based on the wavelet packet transform and use it to compress 3-D echocardiographic images. The new algorithm originates from the well-known SPIHT algorithm that is based on a wavelet transform but outperforms it for the compression of 3-D echocardiographic images. Experimental results are presented to verify the effectiveness of the new SPIHT algorithm. Results show that the new algorithm achieves a very high compression ratio while retaining good quality 3-D echocardiographic images.
Xiyi Hang,
Neil L. Greenberg,
Yuan F. Zheng,
James D. Thomas,
"Compression of 3-D echocardiographic images using a modified 3-D set-partitioning-in-hierarchical-trees algorithm based on a 3-D wavelet packet transform," Journal of Electronic Imaging 15(2), 023016 (1 April 2006). https://doi.org/10.1117/1.2194467
Xiyi Hang, Neil L. Greenberg, Yuan F. Zheng, James D. Thomas, "Compression of 3-D echocardiographic images using a modified 3-D set-partitioning-in-hierarchical-trees algorithm based on a 3-D wavelet packet transform," J. Electron. Imag. 15(2) 023016 (1 April 2006)