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Related Concept Videos

Downsampling01:20

Downsampling

When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
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Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...
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Imaging Studies III: Computed Tomography

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Computed Tomography

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Related Experiment Video

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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Medical image compression using DCT-based subband decomposition and modified SPIHT data organization.

Yen-Yu Chen1

  • 1Department of Information Management, ChengChou Institute of Technology, 6, Line 2, Sec 3, Shan-Chiao Rd., Yuanlin, Changhwa, Taiwan. miscyy@tcts1.seed.net.tw

International Journal of Medical Informatics
|August 26, 2006
PubMed
Summary

This study introduces a novel Discrete Cosine Transform (DCT) and Combined Set Partitioning in Hierarchical Trees (CSPIHT) method for efficient medical image compression. The DCT-CSPIHT approach significantly reduces computational complexity and enhances reconstructed image quality for faster remote diagnosis.

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Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression
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Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression

Published on: May 7, 2019

Area of Science:

  • Medical Imaging
  • Signal Processing
  • Data Compression

Background:

  • Remote medical diagnosis requires efficient storage and rapid transmission of high-quality images.
  • Existing image compression techniques may face limitations in computational complexity and reconstructed image fidelity.

Purpose of the Study:

  • To propose a novel bit-rate-reduced approach for medical image compression.
  • To reduce memory requirements and accelerate the transmission of remote diagnostic images.

Main Methods:

  • An 8x8 Discrete Cosine Transform (DCT) was used for subband decomposition.
  • Modified Set Partitioning in Hierarchical Trees (SPIHT) was employed for data organization and entropy coding.
  • A combined function with modified SPIHT was applied to reduce redundancy in DCT coefficients.

Main Results:

  • The DCT-CSPIHT method reduced computational complexity to one-quarter of wavelet-based methods.
  • Improved reconstructed medical image quality, surpassing JPEG2000 and original SPIHT at the same bit rate.
  • Achieved higher Peak Signal-to-Noise Ratio (PSNR) and perceptual quality.

Conclusions:

  • The proposed DCT-CSPIHT offers a computationally efficient and high-quality solution for medical image compression.
  • Leverages readily available 8x8 fast DCT hardware for high-speed coding and transmission.
  • Facilitates improved remote diagnosis through faster and more reliable image transfer.