Compression of fMRI and ultrasound images using 4D SPIHT

Hariharan G. Lalgudi; Ali Bilgin; Michael W. Marcellin; Mariappan S. Nadar

doi:10.1109/ICIP.2005.1530163

Compression of fMRI and ultrasound images using 4D SPIHT

Hariharan G. Lalgudi, Ali Bilgin, Michael W. Marcellin, Mariappan S. Nadar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

18 Scopus citations

Abstract

There is increased use of medical imaging techniques that produce four dimensional (4D) datasets such as fMRI and 3D dynamic echocardiograms. These datasets consume even larger amounts of resources for transmission or storage compared to the traditional 2D data sets. In this paper, we extend the zero tree algorithms, EZW (Embedded Zero tree coding of Wavelet coefficients) and SPIHT (Set Partitioning in Hierarchichal Trees) to 4D to compress the 4D datasets more efficiently. Integer to integer wavelet transforms scaled by appropriate subband energy weights are used to get lossy to lossless compression. We also investigate the effects of lossy compression on the end result of fMRI analysis.

Original language	English (US)
Title of host publication	IEEE International Conference on Image Processing 2005, ICIP 2005
Pages	746-749
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2005.1530163
State	Published - 2005
Event	IEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy Duration: Sep 11 2005 → Sep 14 2005

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	2
ISSN (Print)	1522-4880

Other

Other	IEEE International Conference on Image Processing 2005, ICIP 2005
Country/Territory	Italy
City	Genova
Period	9/11/05 → 9/14/05

ASJC Scopus subject areas

General Engineering

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10.1109/ICIP.2005.1530163

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Compression of fMRI and ultrasound images using 4D SPIHT. / Lalgudi, Hariharan G.; Bilgin, Ali ; Marcellin, Michael W. et al.
IEEE International Conference on Image Processing 2005, ICIP 2005. 2005. p. 746-749 1530163 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lalgudi, HG, Bilgin, A , Marcellin, MW & Nadar, MS 2005, Compression of fMRI and ultrasound images using 4D SPIHT. in IEEE International Conference on Image Processing 2005, ICIP 2005., 1530163, Proceedings - International Conference on Image Processing, ICIP, vol. 2, pp. 746-749, IEEE International Conference on Image Processing 2005, ICIP 2005, Genova, Italy, 9/11/05. https://doi.org/10.1109/ICIP.2005.1530163

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abstract = "There is increased use of medical imaging techniques that produce four dimensional (4D) datasets such as fMRI and 3D dynamic echocardiograms. These datasets consume even larger amounts of resources for transmission or storage compared to the traditional 2D data sets. In this paper, we extend the zero tree algorithms, EZW (Embedded Zero tree coding of Wavelet coefficients) and SPIHT (Set Partitioning in Hierarchichal Trees) to 4D to compress the 4D datasets more efficiently. Integer to integer wavelet transforms scaled by appropriate subband energy weights are used to get lossy to lossless compression. We also investigate the effects of lossy compression on the end result of fMRI analysis.",

author = "Lalgudi, {Hariharan G.} and Ali Bilgin and Marcellin, {Michael W.} and Nadar, {Mariappan S.}",

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AB - There is increased use of medical imaging techniques that produce four dimensional (4D) datasets such as fMRI and 3D dynamic echocardiograms. These datasets consume even larger amounts of resources for transmission or storage compared to the traditional 2D data sets. In this paper, we extend the zero tree algorithms, EZW (Embedded Zero tree coding of Wavelet coefficients) and SPIHT (Set Partitioning in Hierarchichal Trees) to 4D to compress the 4D datasets more efficiently. Integer to integer wavelet transforms scaled by appropriate subband energy weights are used to get lossy to lossless compression. We also investigate the effects of lossy compression on the end result of fMRI analysis.

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Compression of fMRI and ultrasound images using 4D SPIHT

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