BACKGROUND: Maximum intensity projection (MIP) is a volume rendering technique that determines the pixel intensity as the maximum of all values sampled along the viewing direction. MIP has been successfully applied to diagnose bone fractures in computed tomography (CT) and the stenosis of vascular structures in magnetic resonance angiography (MRA). However, MIP has a major drawback in that the depth and occlusion information cannot be perceived in the output images. The most universal way to alleviate this problem is to occasionally change the viewpoint for depth perception. To support this function in real time, MIP should be performed at an interactive frame rate. OBJECTIVE: We develop an efficient rendering algorithm for MIP so that MIP is performed at an interactive frame rate without a loss of image quality. METHODS: The proposed method predicts the position of the maximum intensity for each ray using blockwise maximum bounds, after which it performs bidirectional compositing toward both ends of the ray from this predicted position. During the compositing process, block skipping is used as an acceleration method. RESULTS: The proposed method outperformed the block skipping method using the sequential compositing with a speed-up factor of 2.2∼2.8 depending on the data set without any degradation of the image quality. CONCLUSION: We proposed an efficient rendering technique for MIP. Our method was superior to the conventional block skipping method with respect to the rendering speed and degree of performance consistency.
By increasing of the population that uses smartphones, problems such as the leakage of private and confidential information due to portable and easy to store and movement of diverse contents occur for a variety of security threats.In this report,it provides helpful information to customers in order to respond various security threat by implementing and designing an remote administration system with using Mobile Device Management (MDM), technology. As a result, customers themselves can prevent information spill by managing remotely from WEB due to the lost and stolen. It is also possible to use control and monitoring.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.