Analogic Corporation

Chitra Subramanian

Ram Naidu

Zhengrong Ying

Carl R Crawford

Sergey Simanovsky

Douglas Q Abraham

Govindarajan T Srinivasan

Nima Shokrollahi

Dong-Yueh Liang

Anuradha Aiyer

Radiation flux can be adjusted 'on the fly' as an object () is being scanned in a security examination apparatus. Adjustments are made to the radiation flux based upon radiation incident on a first radiation detector () in an upstream portion () of an examination region. The object under examination is thus exposed to different radiation flux in coordination with a downstream motion () of the object relative to a second radiation detector (). The radiation flux is adjusted so that a sufficient number of x-rays (that traverse the object) are incident on the second radiation detector. Images of the object can then be generated based upon data from the second radiation detector, where these images are thus of a desired/higher quality.

Radiation modulation in a security examination apparatus

Among other things, one or more techniques and/or systems for correcting projection data representative of an object under examination to account for drift in a radiation system are provided. System drift is measured by performing a drift calibration on the radiation system. During the drift calibration, a temperature of the radiation system is measured and one or more calibration tables, such as an air table and/or offset table, are corrected based upon the measured temperature to derive a theoretical projection (e.g., indicative of measurements that are expected to be acquired from the radiation system during the drift calibration). The theoretical projection is compared to an actual projection acquired during the drift calibration to measure a degree of drift. Based upon the measured degree of drift, one or more correction factors are determined to correct and/or otherwise adjust for system drift in a projection respective of the object.

Correction of projection data in radiation system

A method of and a system for extracting 3D bag images from continuously reconstructed 2D image slices are provided. The method detects the boundaries of baggage in the reconstructed images, and provides better flexibilities for threat detection and displaying. The method comprises detecting starting and ending slices using multiple slices, counting bag slices, splitting 3D bag images when maximum number of slices of a 3D bag image is reached, and creating overlapping slices for the split 3D bag images.

Method of and system for extracting 3D bag images from continuously reconstructed 2D image slices in computed tomography

A method of and a system for spectral correction in multi-energy computed tomography are provided to correct reconstructed images, including high-energy CT images and Z (effective atomic number) images, for spectral variations, which include time variations on a scanner due to HVPS drift and scanner to scanner variations due to the beamline component differences. The method uses a copper filter mounted on the detector array for tracking the spectral changes. The method comprises: generating copper ratios; computing working air tables; calculating scales and offsets; and correcting high-energy CT images and Z images using calculated scales and offsets. The method further includes an off-line calibration procedure to generate necessary parameters for the online correction.

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Salem, MA, United States of America

Chitra Subramanian