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Medical image compression using 3-D Hartley transform.

R Shyam Sunder1, C Eswaran, N Sriraam

  • 1Faculty of Information Technology, Center for Multimedia Computing, Multimedia University, Cyberjaya, Malaysia. shyam.sunder@mmu.edu.my

Computers in Biology and Medicine
|July 20, 2005
PubMed
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The 3-D discrete Hartley transform excels at compressing magnetic resonance brain images. For X-ray angiograms, the 3-D discrete cosine transform offers superior compression performance.

Area of Science:

  • Medical imaging
  • Image processing
  • Biomedical engineering

Background:

  • Medical image compression is crucial for efficient storage and transmission.
  • Transform coding is a common technique for image compression.
  • Evaluating different transforms is essential for optimizing medical image compression.

Purpose of the Study:

  • To compare the performance of 3-D discrete Hartley transform (3-D DHT) against 3-D discrete cosine transform (3-D DCT) and 3-D Fourier transform (3-D FFT) for medical image compression.
  • To assess the suitability of these transforms for magnetic resonance (MR) brain images and X-ray angiograms.

Main Methods:

  • Application of 3-D DHT, 3-D DCT, and 3-D FFT for compressing MR brain images and X-ray angiograms.
  • Performance evaluation using objective metrics: Peak Signal-to-Noise Ratio (PSNR) and bit rate.

Related Experiment Videos

  • Comparative analysis of compression efficiency and image quality.

    • Main Results:

    • The 3-D DHT demonstrated superior compression performance for MR brain images compared to 3-D DCT and 3-D FFT.
    • The 3-D DCT showed better compression results for X-ray angiograms than 3-D DHT and 3-D FFT.
    • Performance varied significantly between the two medical modalities.

    Conclusions:

    • The choice of transform significantly impacts compression efficiency and quality for different medical imaging modalities.
    • 3-D DHT is a promising technique for MR brain image compression.
    • 3-D DCT remains a strong candidate for X-ray angiogram compression.