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.
Image segmentation from noisy CT image has a number of applications in different clinical diagnosis. In order to automatically perform this task from an under-sampled noisy CT image, we have merged compressed sensing reconstruction technique and hierarchical clustering algorithm together in this paper. Denoising based approximate message passing (D-AMP) algorithm is used as a compressed sensing reconstruction...
Computed tomography (CT) plays a crucial role in medical imaging, such as in diagnosis and therapy. The radiation from CT will result in excess radiation exposure to patients, hence the reduction of radiation from CT is essential. The proposed research focused on combining expectation maximization (EM) and nonlocal total variation (NLTV) for CT image reconstruction. This method reconstructs better...
Computed Tomograhpy (CT) is a technology that takes projection data along a trajectory and reconstructs an image of the objects. But it exposes patients to significant radiation. Therefore, lower radiation dose has been constantly pursued. The amount of radiation dose is a function of the number of projections. However, in traditional reconstruction algorithms, for example, filtered back projection...
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.