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.
In our recent work, we demonstrated the feasibility of an image reconstruction procedure for unifying gated and dynamic imaging, which could yield valid kinetic information for discriminating between normal and perfusion defects. Motivated by this success, in this work we investigate a direct reconstruction approach to determine a sequence of gated, kinetic parameter images from a single acquisition,...
We propose a spatial point-process modeling approach to improve the detection of clustered microcalcifications (MCs) in mammogram images. Apart from the predominant approach for MC detection, in which individual MCs in an image are first detected independently and then grouped into clusters, our proposed approach aims to incorporate the spatial clustering property of the MCs directly into the detection...
We propose a spatial point process approach to improve the detection accuracy of clustered microcalcifications (MCs) in mammogram images. The conventional approach to MC detection has been to first detect the individual MCs in an image independently, which are subsequently grouped into clusters. Our proposed approach aims to exploit the spatial distribution among the different MCs directly during...
In this paper, we propose an approach for the reconstruction of dynamic images from a gated cardiac data acquisition. The goal is to obtain an image sequence that can show simultaneously both cardiac motion and time-varying image activities. To account for the cardiac motion, the cardiac cycle is divided into a number of gate intervals, and a time-varying image function is reconstructed for each gate...
We propose an approach to analyzing functional neuroimages in which: (1) regions of neuronal activation are described by a superposition of spatial kernel functions, the parameters of which are estimated from the data; and (2) the presence of activation is detected by means of a generalized likelihood ratio test (GLRT). In an on-off design we model the spatial activation pattern as a sum of an unknown...
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.