Speckle Reduction on Ultrasound Liver Images Based on a Sparse Representation over a Learned Dictionary
Abstract
:1. Introduction
2. Background
2.1. Ultrasound Noise Model
2.2. Related Work on Multiplicative Noise Reduction
3. Sparse Representation Framework for Speckle Reduction
- Convert the multiplicative noise into additive noise using an enhanced homomorphic filter and capture the high- and low-frequency components to retain detailed information.
- Apply pixel-based TV regularization to smooth the filtered image signal.
- Apply patch-based sparse representation over a dictionary trained using the KSVD algorithm. We employed two modified dictionaries—one trained with a set of reference ultrasound image patches and another trained using the speckled image patches.
- Iterate between the TV regularization and sparse representation procedure to improve the reconstructed image.
3.1. Performance Estimation
4. Experimental Results and Discussion
4.1. Simulations on Synthetic Images
4.2. Clinical Liver Ultrasound Images
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Models | PSNR (dB) | MSSIM |
---|---|---|
Noise image | 32.113 | 0.727 |
Frost | 32.466 | 0.768 |
Wavelet | 33.214 | 0.801 |
Kuan | 32.895 | 0.794 |
Median | 34.597 | 0.839 |
SRAD | 33.434 | 0.827 |
Weiner | 33.782 | 0.834 |
Proposed: Dictionary 1 | 36.862 | 0.953 |
Proposed: Dictionary 2 | 37.044 | 0.967 |
Models | PSNR (dB) | MSSIM |
---|---|---|
Frost | 28.966 | 0.822 |
Median | 25.497 | 0.659 |
Wavelet | 27.772 | 0.782 |
SRAD | 28.766 | 0.813 |
Kuan | 28.279 | 0.801 |
Weiner | 29.218 | 0.834 |
Proposed: Dictionary 1 | 30.334 | 0.901 |
Proposed: Dictionary 2 | 30.807 | 0.926 |
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Jabarulla, M.Y.; Lee, H.-N. Speckle Reduction on Ultrasound Liver Images Based on a Sparse Representation over a Learned Dictionary. Appl. Sci. 2018, 8, 903. https://doi.org/10.3390/app8060903
Jabarulla MY, Lee H-N. Speckle Reduction on Ultrasound Liver Images Based on a Sparse Representation over a Learned Dictionary. Applied Sciences. 2018; 8(6):903. https://doi.org/10.3390/app8060903
Chicago/Turabian StyleJabarulla, Mohamed Yaseen, and Heung-No Lee. 2018. "Speckle Reduction on Ultrasound Liver Images Based on a Sparse Representation over a Learned Dictionary" Applied Sciences 8, no. 6: 903. https://doi.org/10.3390/app8060903