Four-dimensional compression of fMRI using JPEG2000

Hariharan G. Lalgudi, Ali Bilgin, Michael W. Marcellin, Ali Tabesh, Mariappan S. Nadar, Theodore P. Trouard

Research output: Contribution to journalConference articlepeer-review

13 Scopus citations


Many medical imaging techniques available today generate 4D data sets, One such technique is functional magnetic resonance imaging (fMRI) which aims to determine regions of the brain that are activated due to various cognitive and/or motor functions or sensory stimuli. These data sets often require substantial resources for storage and transmission and hence call for efficient compression algorithms. fMRI data can be seen as a time-series of 3D images of the brain. Many different strategies can be employed for compressing such data. One possibility is to treat each 2D slice independently. Alternatively, it is also possible to compress each 3D image independently. Such methods do not fully exploit the redundancy present in 4D data. In this work, methods using 4D wavelet transforms are proposed. They are compared to different 2D and 3D methods. The proposed schemes are based on JPEG2000, which is included in the DICOM standard as a transfer syntax. Methodologies to test the effects of lossy compression on the end result of fMRI analysis are introduced and used to compare different compression algorithms.

Original languageEnglish (US)
Article number112
Pages (from-to)1028-1037
Number of pages10
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Issue numberII
StatePublished - 2005
EventMedical Imaging 2005 - Image Processing - San Diego, CA, United States
Duration: Feb 13 2005Feb 17 2005


  • 4D-Compression
  • JPEG2000
  • fMRI

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging
  • Biomaterials


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