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 proceedingConference contribution

17 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 languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing 2005, ICIP 2005
Pages746-749
Number of pages4
DOIs
StatePublished - Dec 1 2005
EventIEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
Duration: Sep 11 2005Sep 14 2005

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2
ISSN (Print)1522-4880

Other

OtherIEEE International Conference on Image Processing 2005, ICIP 2005
CountryItaly
CityGenova
Period9/11/059/14/05

ASJC Scopus subject areas

  • Engineering(all)

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    Lalgudi, H. G., Bilgin, A., Marcellin, M. W., & Nadar, M. S. (2005). Compression of fMRI and ultrasound images using 4D SPIHT. In IEEE International Conference on Image Processing 2005, ICIP 2005 (pp. 746-749). [1530163] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2). https://doi.org/10.1109/ICIP.2005.1530163