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Enhancing ultrasound images by morphology filter and eliminating ringing effect
1Data Compression and Multimedia Communication Laboratory, Department of Electrical Engineering, National Cheng Kung University, No. 1 Ta Hsueh Road, Tainan 701, Taiwan, ROC. miscyy@tcts1.seed.net.tw
European Journal of Radiology
|January 25, 2005
Summary
This study introduces a novel method using quad-tree decomposition and morphological filters to reduce ringing artifacts in JPEG2000 compressed ultrasound images. The technique significantly enhances image quality for better diagnostic interpretation.
Area of Science:
- Medical Imaging
- Signal Processing
- Image Compression
Background:
- JPEG2000 compression, based on wavelet transform, is effective for ultrasound images but introduces ringing artifacts.
- These artifacts degrade diagnostic quality, necessitating post-processing de-ringing algorithms.
Purpose of the Study:
- To develop and evaluate a novel artifact reduction technique for JPEG2000 compressed ultrasound images.
- To enhance the visual and quantitative quality of reconstructed ultrasound images.
Main Methods:
- Utilized quad-tree decomposition to segment ultrasound images into blocks.
- Applied a set of eight predefined morphological filters with dilation and erosion structuring elements.
- Implemented a voting strategy to select the optimal filter for each block based on image quality metrics.
Main Results:
- The proposed method effectively reduced ringing artifacts in reconstructed ultrasound images.
- Quantitative analysis showed improvements in Peak Signal-to-Noise Ratio (PSNR).
- Perceptual evaluation confirmed enhanced image quality compared to standard JPEG2000 decompression.
Conclusions:
- Quad-tree decomposition combined with a voting-based morphological filter strategy offers superior artifact reduction for JPEG2000 compressed ultrasound images.
- This approach improves diagnostic acceptability of compressed ultrasound data.
- The technique provides a valuable tool for enhancing medical image quality in transmission and storage.