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- Biomechanics (1)
- Block matching (1)
- Collaborative filtering (1)
- Corrupted images (1)
- Cost functions (1)
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- Costs (1)
- Denoising methods (1)
- Disc replacement (1)
- Evolutionary algorithms (1)
- Image de-noising (1)
- Image denoising methods (1)
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- MRI image (1)
- Medical imaging (1)
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- Multiobjective optimization (1)
- Noise removal (1)
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- Pareto front (1)
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- Random noise (1)
- Remove noise (1)
- Shape optimization (1)
- Signal filtering and prediction (1)
- Spine (1)
- Strength of Pareto evolutionary algorithm (1)
- Structural optimization (1)
- Structure features (1)
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Articles 1 - 2 of 2
Full-Text Articles in Equipment and Supplies
Biomechanical Comparison Of Lumbar Disc Replacements, Peter Wong
Biomechanical Comparison Of Lumbar Disc Replacements, Peter Wong
Theses and Dissertations (ETD)
Surgical options for lumbar spinal disorders are rapidly expanding. One seemingly promising area is the lumbar disc replacement. Design specifications vary among the manufacturers based upon differing perceptions of ideal motion. Comparison studies are important in quantifying different features for future improvements but are currently lacking. The objective of this study was to compare the biomechanical properties of three currently available treatments: disc replacement with ProDisc-L, disc replacement with Maverick, and a pedicle screw fixation. It was hypothesized that structural designs differences of ProDisc-L and Maverick could be distinguished in both motion and loading patterns. It was also hypothesized that …
Parameter Optimization For Image Denoising Based On Block Matching And 3d Collaborative Filtering, Ramu Pedada, Emin Kugu, Jiang Li, Zhanfeng Yue, Yuzhong Shen, Josien P.W. Pluim (Ed.), Benoit M. Dawant (Ed.)
Parameter Optimization For Image Denoising Based On Block Matching And 3d Collaborative Filtering, Ramu Pedada, Emin Kugu, Jiang Li, Zhanfeng Yue, Yuzhong Shen, Josien P.W. Pluim (Ed.), Benoit M. Dawant (Ed.)
Electrical & Computer Engineering Faculty Publications
Clinical MRI images are generally corrupted by random noise during acquisition with blurred subtle structure features. Many denoising methods have been proposed to remove noise from corrupted images at the expense of distorted structure features. Therefore, there is always compromise between removing noise and preserving structure information for denoising methods. For a specific denoising method, it is crucial to tune it so that the best tradeoff can be obtained. In this paper, we define several cost functions to assess the quality of noise removal and that of structure information preserved in the denoised image. Strength Pareto Evolutionary Algorithm 2 (SPEA2) …