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Full-Text Articles in Social and Behavioral Sciences
A Reduced Reference Image Quality Metric Based On Feature Fusion And Neural Networks, Aladine Chetouani, Azeddine Beghdadi, Mohamed Deriche, Abdesselam Bouzerdoum
A Reduced Reference Image Quality Metric Based On Feature Fusion And Neural Networks, Aladine Chetouani, Azeddine Beghdadi, Mohamed Deriche, Abdesselam Bouzerdoum
Faculty of Engineering and Information Sciences - Papers: Part A
A Global Reduced Reference Image Quality Metric (IQM) based on feature fusion using neural networks is proposed. The main idea is the introduction of a Reduced Reference degradation-dependent IQM (RRIQM/D) across a set of common distortions. The first stage consists of extracting a set of features from the wavelet-based edge map. Such features are then used to identify the type of degradation using Linear Discriminant Analysis (LDA). The second stage consists of fusing the extracted features into a single measure using Artificial Neural Networks (ANN). The result is a degradation- dependent IQM measure called the RRIQM/D. The performance of the …
Development Of Fully 3d Image Reconstruction Techniques For Pinhole Spect Imaging, Xuezhu Zhang, Yujin Qi
Development Of Fully 3d Image Reconstruction Techniques For Pinhole Spect Imaging, Xuezhu Zhang, Yujin Qi
Faculty of Engineering and Information Sciences - Papers: Part A
The purpose of this study was to develop fully 3D image reconstruction techniques for pinhole SPECT imaging with our Micro-SPECT system. Our studies involve in the derivation of projection operators, analysis of the sampling characteristics of pinhole SPECT imaging in Radon space, development of effective geometric calibration method for system misalignment, and 3D image reconstruction development and implementation with quantitative degrading compensation for pinhole SPECT with both circular and helical scan. The performances of pinhole SPECT imaging were evaluated using computer simulations and experiments with the Ultra-Micro Hot-Spot phantom, Ultra-Micro Defrise phantom and small-animal imaging. The results from the computer …
Learning-Based Prostate Localization For Image Guided Radiation Therapy, Luping Zhou, Shu Liao, Wei Li, Dinggang Shen
Learning-Based Prostate Localization For Image Guided Radiation Therapy, Luping Zhou, Shu Liao, Wei Li, Dinggang Shen
Faculty of Engineering and Information Sciences - Papers: Part A
Accurate prostate localization is the key to the success of radiotherapy. It remains a difficult problem for CT images due to the low image contrast, the prostate motion, and the uncertain presence of rectum gas. In this paper, a learning based framework is proposed to improve the accuracy of prostate detection in CT. It adaptively determines distinctive feature types at distinctive image regions, thus filtering out features that are salient in image appearance, but irrelevant to prostate localization. Furthermore, an image similarity function is learned to make the image appearance distance consistent with the underlying prostate alignment. The efficacy of …