Analogic Corporation

Battelle Memorial Institute

Bk Medical Holding Company, Inc.

Siv Technologies, Inc.

David Lieblich

Zhaolin Li

Sergey Simanovsky

Andrew Litvin

Ram Naidu

John P O'Connor

Louis R Poulo

Nicholas A Accomando

Jeffrey L Schiano

Rodney Hallgren

Nirupam Sarkar

John Tatarowicz

Daniel B Keesing

Louis Poulo

In an approach to generating a synthetic three-dimensional (3D) X-ray volume, a first bag image of the plurality of bag images that includes an associated bag subvolume greater than a volume of a threat represented in a first threat image of the plurality of threat images is selected. An image is created based on inserting the threat of the first threat image into the associated bag subvolume of the first bag image.

Techniques for generating synthetic three-dimensional representations of threats disposed within a volume of a bag

A method includes generating a real-time ultrasound image of anatomy of interest. At least a sub-portion of the anatomy of interest is deformed from an initial location to a different location by pressure applied by an external force. The method further includes obtaining a 2-D slice, which corresponds to a same plane as the real-time ultrasound image, from 3-D reference image data, wherein a corresponding sub-portion is at the initial location. The method further includes determining displacement fields for the sub-portion from the sub-portion, the corresponding sub-portion and other anatomy not-deformed in the real-time ultrasound image and the 3-D reference image data. The method further includes deforming the 3-D reference image data using the displacement fields, which creates deformed 3-D reference image data based on the different location.

Real-time anatomically based deformation mapping and correction

Among other things, one or more techniques and/or systems for generating a three-dimensional combined image is provided. A three-dimensional test image of a test item is combined with a three-dimensional article image of an article that is undergoing a radiation examination to generate the three-dimensional combined image. A first selection region of the three-dimensional article image is selected. The three-dimensional test image of the test item is inserted within the first selection region. Although the test item is not actually comprised within the article under examination, the three-dimensional combined image is intended to cause the test item to appear to be comprised within the article.

Combined image generation of article under examination and image of test item

A volume of an object is extracted from a three-dimensional image to generate a three-dimensional object image, where the three-dimensional object image represents the object but little to no other aspects of the three-dimensional image. The three-dimensional image is yielded from an examination in which the object, such as a suitcase, is situated within a volume, such as a luggage bin, that may contain other aspects or objects that are not of interest, such as sidewalls of the luggage bin. The three-dimensional image is projected to generate a two-dimensional image, and a two-dimensional boundary of the object is defined, where the two-dimensional boundary excludes or cuts off at least some of the uninteresting aspects. In some embodiments, the two-dimensional boundary is reprojected over the three-dimensional image to generate a three-dimensional boundary, and voxels comprised within the three-dimensional boundary are extracted to generate the three-dimensional object image.

Three-dimensional object image generation

A method includes obtaining first 3D imaging data for a volume of interest. The first 3D imaging data includes structural imaging data and a target tissue of interest. The method further includes obtaining 2D imaging data. The 2D imaging data includes structural imaging data for a plane of the volume of interest. The plane includes at least three fiducial markers of a set of fiducial markers. The method further includes locating a plane, including location and orientation, in the first 3D imaging data that corresponds to the plane of the 2D imaging data by matching the at least three fiducial markers with corresponding fiducial markers identified in the first 3D imaging data and using the map. The method further includes visually displaying the first 3D imaging data with the 2D imaging data superimposed over at the corresponding plane located in the first 3D imaging data.

Multi-imaging modality navigation system

Among other things, one or more techniques and/or systems are described for correcting projection data generated from a computed tomography (CT) examination of an object and/or for computing or updating a CT value of the object from the projection data. An image generator is configured to generate a CT image of an object under examination. Using this CT image, a set of actions are performed to correct projection data from which the CT image was generated and/or to update a CT value of one or more voxels within the CT image. In this way, the projection data and/or CT image is adjusted to reduce image artifacts and/or otherwise improve image quality and/or object detection.

Projection data correction and computed tomography value computation

Z-effective (e.g., atomic number) values are generated for one or more sets of voxels in a CT density image using sparse (measured) multi-energy projection data. Voxels in the CT density image are assigned a starting z-effective value, causing a CT z-effective image to be generated from the CT density image. The accuracy of the assigned z-effective values is tested by forward projecting the CT z-effective image to generate synthetic multi-energy projection data and comparing the synthetic multi-energy projection data to the sparse multi-energy projection data. When the measure of similarity between the synthetic data and the sparse data is low, the z-effective value assigned to one or more voxels is modified until the measure of similarity is above a specified threshold (e.g., with an associated confidence score), at which point the z-effective values substantially reflect the z-effective values that would be obtained using a (more expensive) dual-energy CT imaging modality.

Determination of z-effective value for set of voxels using CT density image and sparse multi-energy data

A method and apparatus for detecting quadrupole nuclei in motion relative to a search region, during the sensing operation, provides a system for decreasing the throughput time of quadrupole resonance (QR) detection systems. The apparatus uses a single QR probe, or a plurality of QR probes, which may be formed into an array, to remotely and non-invasively generate a QR response from one or more targets containing quadrupole nuclei, as they pass through the probe-sensing region. The method employs an optimized pulse sequence that simultaneously increases the QR signal power while reducing the peak power of the RF pulses. The pulse sequence generates a matrix of signals that are processed to improve detection performance by increasing the signal to noise ratio.

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Worcester, MA, United States of America

David Lieblich