The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper aims to make the sales company achieve maximum profits. It presents a mathematical model, in which we analyze the natural gas pipeline system, consider many factors (compressor stations, the volatility of users' gas consumption, the ability of the end segment of pipe's storage) in transmission and use the end segment of pipeline to store gas. Then, we use nonlinear programing algorithm...
The diffusion tensor image (DTI) is clinically polluted by Rician noise, which can bring serious impacts on tensor calculating, fiber tracking and other post-processing. To decrease the effects of the Rician noise, this paper presents a new DTI denoising scheme by combining the shearlet shrinkage with complex diffusion strategy. It's proved that the presented smoothing method can successfully remove...
This paper describes a mathematical model for natural gas pipeline network which can help the sales company achieve maximum economic profits. In this paper, we analyze the pipeline network and consider many factors, including the end segment of pipeline for storage. Then we choose the feasible direction algorithm for constrained nonlinear programming to solve the model. At the end of this paper, we...
Diffusion tensor imaging (DTI) is known to be the best non-invasive imaging modality in providing anatomical information as white-matter fiber bundles. However, the Gaussian noise introduced into the diffusion tensor images can bring serious impacts on tensor calculation and fiber tracking. To decrease the effects of the Gaussian noise, many denoising methods have been presented. In this paper, a...
The Gaussian noise introduced into the diffusion tensor images (DTIs) can bring serious impacts on tensor calculation and fiber tracking. To decrease the effects of the Gaussian noise, many Euclidean invariant gradient (EIG) based anisotropic diffusion denoising methods have been presented. In this paper, the effects of the Gaussian noise on calculated tensors were analyzed and an affine invariant...
To decrease the effects of the Rician noise, we propose to consider the wavelet-based diffusion method to denoise multichannel typed diffusion weighted (DW) images. The presented smoothing strategy, which utilizes complex diffusion in wavelet domain, successfully removes noise while preserving both texture and edges. To evaluate quantitatively the efficiency of the presented method in accounting for...
The Rician noise introduced into the diffusion tensor images (DTIs) can bring serious impacts on tensor calculation and fiber tracking. To decrease the effects of the Rician noise, we propose to consider the multi-channel wavelet-based diffusion methods to denoise DTI images. The presented smoothing strategy, which uses wavelet transform with anisotropic nonlinear diffusion, successfully removes image...
The Rician noise introduced into the diffusion weighted images (DWI) can bring serious impacts on tensor calculation and fiber tracking. To decrease the effects of the Rician noise, many anisotropic diffusion denoising methods have been presented. Among all these methods, the P&M filtering method is most popular. Although efficient in alleviating the effects of the noise, the classical P&M...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.