Abstract: A tomography apparatus that may reduce partial scan artifacts includes: a data acquirer configured to acquire tomography data when X-rays are emitted as a cone beam to an object while rotating by one cycle angular section that is less than one rotation; and an image reconstructor configured to reconstruct a tomography image by using corrected tomography data that is obtained by applying to the tomography data a weight that is set based on at least one of a view that is included in the one cycle angular section and a cone angle in the cone beam.

Abstract: A method of acquiring a tomography image includes acquiring a plurality of raw data by detecting an X-ray irradiated to an object from an X-ray generator a plurality of times, wherein an X-ray detector performs the detecting; setting at least a part of the object as a region of interest; and reconstructing the tomography image including the region of interest, based on the plurality of raw data, wherein the reconstructing of the tomography image includes: selecting filter kernels based on distances between positions of the X-ray generator that irradiated the X-ray to the region of interest and positions of voxels included in the region of interest; generating filter images by applying the selected filter kernels to the raw data corresponding to the positions of the X-ray generator that irradiated the X-ray; and reconstructing the tomography image from the filter images by back-projecting the filter images.

Abstract: A tomography apparatus that may reduce partial scan artifacts includes: a data acquirer configured to acquire tomography data when X-rays are emitted as a cone beam to an object while rotating by one cycle angular section that is less than one rotation; and an image reconstructor configured to reconstruct a tomography image by using corrected tomography data that is obtained by applying to the tomography data a weight that is set based on at least one of a view that is included in the one cycle angular section and a cone angle in the cone beam.

Abstract: A network anomaly detector evaluates two complementary measurements of network statistics, a time variation and correlation among those statistics, to provide an extremely robust detection of network anomalies. In one embodiment, the variability and correspondence are compared against historically derived thresholds to provide for a system that accommodates to local network conditions and evolving network qualities.

Abstract: A network anomaly detector evaluates two complementary measurements of network statistics, a time variation and correlation among those statistics, to provide an extremely robust detection of network anomalies. In one embodiment, the variability and correspondence are compared against historically derived thresholds to provide for a system that accommodates to local network conditions and evolving network qualities.