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Region-based wavelet coding methods for digital mammography.

Mónica Penedo1, William A Pearlman, Pablo G Tahoces

  • 1Department of Radiology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain. mrmocs@usc.es

IEEE Transactions on Medical Imaging
|October 14, 2003
PubMed
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Region-based compression methods significantly improve digital mammogram compression efficiency. New methods like OB-SPIHT and OB-SPECK reduce data without sacrificing image quality, aiding digital radiology adoption.

Area of Science:

  • Medical Imaging
  • Data Compression
  • Digital Mammography

Background:

  • Digital mammography implementation is hindered by spatial resolution and contrast needs.
  • Efficient data compression is crucial for reducing transmission time and storage costs in medical imaging.
  • Current methods require significant data reduction without compromising image quality.

Purpose of the Study:

  • To evaluate region-based compression methods for digital mammograms.
  • To compare the performance of object-based SPIHT (OB-SPIHT) and object-based SPECK (OB-SPECK) against traditional SPIHT and JPEG 2000.
  • To assess the impact of compression on medical image quality.

Main Methods:

  • Applied two region-based compression techniques to digital mammograms.

Related Experiment Videos

  • Utilized region-based discrete wavelet transform and object-based coding (OB-SPIHT, OB-SPECK).
  • Compared performance against SPIHT and JPEG 2000 at compression rates from 0.1 to 1.0 bbp, evaluating distortion via peak signal-to-noise ratio.

    • Main Results:

    • OB-SPIHT and OB-SPECK demonstrated substantially better performance than traditional SPIHT and JPEG 2000.
    • Region-based methods showed improvement over full-image compression techniques.
    • These methods allow independent encoding of multiple regions of interest.

    Conclusions:

    • Region-based compression offers superior efficiency for digital mammography.
    • Advanced algorithms like OB-SPIHT and OB-SPECK are effective for medical image compression.
    • Improved compression facilitates the adoption of digital technologies like teleradiology and computer-aided diagnosis.