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Wavelet based compression of medical ultrasound images using vector quantization
L Kaur1, R C Chauhan, S C Saxena
1Sant Longowal Institute of Engineering & Technology, Sangrur, Punjab, 148106, India. mahal2k8@yahoo.com
Journal of Medical Engineering & Technology
|June 15, 2006
Summary
This study introduces an efficient medical ultrasound image compression method using wavelet transform and vector quantization. The technique significantly outperforms JPEG2000, offering improved image quality for medical diagnostics.
Area of Science:
- Medical Imaging
- Signal Processing
- Data Compression
Background:
- Medical ultrasound (US) images require efficient compression for storage and transmission.
- Existing compression methods like JPEG2000 may not fully optimize for US image characteristics.
Purpose of the Study:
- To propose an efficient compression technique for medical ultrasound images.
- To enhance image compression performance compared to established standards.
Main Methods:
- Utilized wavelet transform combined with vector quantization (VQ) of high-energy subbands.
- Analyzed statistical properties of wavelet coefficients in US images.
- Developed a low-complexity coder applying VQ to the dominant energy subband, discarding others.
Main Results:
- Identified energy concentration in specific detail subbands (vertical or horizontal).
- The proposed method demonstrated superior performance over JPEG2000 qualitatively and quantitatively.
- Achieved a peak signal-to-noise ratio (PSNR) gain of 0.2 dB to 1.2 dB without entropy coding.
Conclusions:
- The proposed wavelet transform and VQ technique is an effective method for medical ultrasound image compression.
- This approach offers a significant advantage over JPEG2000 for US image data.
- The findings suggest potential for improved diagnostic accuracy through better image fidelity.
