Semiconductor X-ray Detector
US-2018017685-A1 · Jan 18, 2018 · US
US11464470B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11464470-B2 |
| Application number | US-201917046479-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 11, 2019 |
| Priority date | Apr 11, 2018 |
| Publication date | Oct 11, 2022 |
| Grant date | Oct 11, 2022 |
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X-ray backscatter imaging (XBI) methods and systems are provided that enable depth-sensitive information to be obtained from images acquired during a single scan from a single side of an object being imaged. The depth-sensitive information is used in combination with other image information acquired during the scan to produce high-resolution 2-D or 3-D images, where at least one of the dimensions of the 2-D or 3-D image corresponds to depth in the object.
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What is claimed is: 1. An X-ray backscatter imaging (XBI) system for performing tomography, the XBI system comprising: an X-ray source configured to emit X-rays toward an object, the X-ray source being positioned above a first side of the object; an X-ray detector array comprising an array of X-Ray detectors configured to detect X-ray photons backscattered from the object, the X-Ray detector array being positioned above the first side of the object; and image acquisition circuitry configured to acquire electrical signals output by respective X-ray detectors of the array of X-Ray detectors during a single scan of the XBI system and to generate at least one of a two-dimensional (2-D) and a three-dimensional (3-D) tomographic image of the object, at least one of the dimensions corresponding to depth-sensitive information, wherein the image acquisition circuitry comprises: memory; and processing logic, the processing logic being configured to perform a binning algorithm, wherein the binning algorithm uses N energy levels as N threshold (TH) values, respectively, and compares a respective energy level of each of the acquired electrical signals to the N TH values to determine which of N+1 bins in the memory the respective acquired electrical signal is to be allocated to, where N is a positive integer that is greater than or equal to one, and wherein the processing logic generates the depth-sensitive information based, at least in part, on which of the bins the acquired electrical signals have been allocated to in the memory. 2. The XBI system of claim 1 , wherein the X-Ray source generates a generally pencil-shaped beam of X-Ray radiation and wherein the X-Ray detector array comprises a single X-Ray detector. 3. The XBI system of claim 2 , wherein the single X-Ray detector is a collimated X-Ray detector. 4. The XBI system of claim 1 , wherein the X-Ray source generates a generally fan-shaped beam of X-Ray radiation and wherein the X-Ray detector array comprises a 2-D array of collimated X-Ray detectors. 5. The XBI system of claim 1 , wherein the X-Ray source generates a line array of generally pencil-shaped beams of X-Ray radiation and wherein the X-Ray detector array comprises a 2-D array of collimated X-Ray detectors. 6. The XBI system of claim 1 , wherein the X-Ray detector array comprises an array of X rows of the X-Ray detectors and Y columns of the X-Ray detectors, where X and Y are integers that are greater than or equal to 2, the X rows and Y columns being parallel to X- and Y-axes, respectively, of an X, Y, Z Cartesian coordinate system, each of the X rows of the X-Ray detectors pointing toward a different depth in the object, the depth in the object being parallel to a Z-axis of the X, Y, Z Cartesian coordinate system, each of the X-Ray detectors being collimated, and wherein the depth-sensitive information is generated based on where each row of X-Ray detectors in the X-Ray detector array is pointed at inside of the object. 7. The XBI system of claim 6 , wherein the X-Ray source generates a generally fan-shaped beam of X-Ray radiation and wherein the array of X-Ray detectors is offset from the generally fan-shaped beam and angled such that a front face of the array of X-Ray detectors is pointing toward the first side of the object. 8. The XBI system of claim 6 , wherein the X-Ray source and the array of X-Ray detectors are rotated together relative to a fixed point on the object as the object remains stationary to perform the single scan of the XBI system. 9. The XBI system of claim 8 , wherein the image acquisition circuitry includes processing logic that performs a reconstruction algorithm that processes the electrical signals output from the X-Ray detectors at different angles of the rotating X-Ray source and array of X-Ray detectors to reconstruct a 3-D tomographic image of the object. 10. The XBI system of claim 6 , wherein the X-Ray source and the array of X-Ray detectors are in fixed locations as the object is rotated to perform the single scan of the XBI system. 11. The XBI system of claim 10 , wherein the image acquisition circuitry includes processing logic that performs a reconstruction algorithm that processes the electrical signals output from the X-Ray detectors at different angles of the rotating object to reconstruct a 3-D tomographic image of the object. 12. The XBI system of claim 6 , wherein the X-Ray source generates a line array of generally pencil-shaped beams of X-Ray radiation that are activated in sequence and wherein the array of X-Ray detectors is offset from the line array of generally pencil-shaped beams and angled such that a front face of the array of X-Ray detectors is pointing toward the first side of the object. 13. The XBI system of claim 12 , wherein the X-Ray source and the array of X-Ray detectors are rotated together relative to a fixed point on the object as the object remains stationary to perform the single scan of the XBI system. 14. The XBI system of claim 13 , wherein the image acquisition circuitry includes processing logic that performs a reconstruction algorithm that processes the electrical signals output from the X-Ray detectors at different angles of the rotating X-Ray source and array of X-Ray detectors to reconstruct a 3-D tomographic image of the object. 15. The XBI system of claim 12 , wherein the X-Ray source and the array of X-Ray detectors are in fixed locations as the object is rotated to perform the single scan of the XBI system. 16. The XBI system of claim 15 , wherein the image acquisition circuitry includes processing logic that performs a reconstruction algorithm that processes the electrical signals out from the X-Ray detectors at different angles of the rotating object to reconstruct a 3-D tomographic image of the object. 17. The XBI system of claim 6 , wherein the X-Ray detectors are collimated by a collimation grid that is secured to a front face of the array of X-ray detectors, the collimation grid comprising fins of high atomic number. 18. A method for performing X-Ray tomography with an X-ray backscatter imaging (XBI) system, the method comprising: with an X-ray source positioned above a first side of an object, emitting X-rays toward the object; with an X-ray detector array positioned above the first side of the object and comprising an array of X-Ray detectors, detecting X-ray photons backscattered from the object; with image acquisition circuitry, acquiring electrical signals output by respective X-ray detectors of the array of X-Ray detectors during a single scan of the XBI system and generating at least one of a two-dimensional (2-D) and a three-dimensional (3-D) tomographic image of the object, at least one of the dimensions corresponding to depth-sensitive information, wherein the image acquisition circuitry comprises processing logic and memory, the method further comprising: in the processing logic, performing a binning algorithm comprising: analyzing a respective energy level of each of the acquired electrical signals and allocating the respective acquired electrical signal to one of a plurality of bins in the memory based on results of the analysis; and generating depth-sensitive information based, at least in part, on which of the bins each of the acquired electrical signals has been allocated to the memory. 19. The method of claim 18 , wherein the binning algorithm uses N energy levels as N threshold (TH) values, respectively, and compares the respective energy level of each of the acquired electrical signals to the N TH values to determine which of N+
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