PHOTON COUNTING SPECTRAL CT
    1.
    发明申请

    公开(公告)号:US20210382188A1

    公开(公告)日:2021-12-09

    申请号:US17053890

    申请日:2019-05-07

    Abstract: A radiation detector (100) adapted for detecting leakage currents is disclosed and comprises a direct conversion material (101) for converting incident radiation, at least one first electrode (108) and a plurality of second electrodes (103) connected to surfaces of the direct conversion material (101) for collecting each generated charges upon application of an electric field, at least one current measurement device (201), and a plurality of signal processing chains (210, 220, 230). Each signal processing chain comprises a readout unit (215, 216, 217, 218, 219) for discriminating between energy values with respect to the incident radiation, and a switching element (214) for sending signals on a first signal path (2141) electrically connecting one of the plurality of second electrodes with the readout unit, or on a second signal path electrically connecting the one of the plurality of second electrodes with an input to one of the at least one current measurement devices. A plurality of switching elements is configured to send signals on the second signal path for measuring a leakage current received at a corresponding plurality of second electrodes of the detector in the absence of incident radiation.

    SPECTRAL X-RAY MATERIAL DECOMPOSITION METHOD

    公开(公告)号:US20230309937A1

    公开(公告)日:2023-10-05

    申请号:US18024301

    申请日:2021-08-31

    CPC classification number: A61B6/4241 A61B6/032 A61B6/5205 A61B6/482

    Abstract: A method for material decomposition of an object based on spectral X-ray scan data for the object and based on application of a frequency split approach. The method comprises using two AI models in parallel to perform the material decomposition analysis based on input spectral X-ray data, wherein the models are configured such that one exhibits higher bias and lower variance (lower noise) than the other. The input spectral X-ray data is fed to both models. The output material composition data from the low bias model is low-pass filtered and the output material composition data from the low variance model is high pass filtered. The outputs from the two models are linearly combined, either before the filtering or after. The resulting combined material decomposition data has both lower bias and lower noise compared to the output generated if just one AI model were to be used.

    X-RAY POSITION TRACKING
    3.
    发明公开

    公开(公告)号:US20230263487A1

    公开(公告)日:2023-08-24

    申请号:US18017143

    申请日:2021-07-16

    CPC classification number: A61B6/12 A61B6/4441 A61B6/52

    Abstract: A spectral X-ray imaging system (100) includes an X-ray source (110) and an X-ray detector (120) that are mounted to a support structure (150). The support structure (150) is configured to rotate the X-ray source (110) and the X-ray detector (120) around two or more orthogonal axes (A-A′, B-B′). One or more processors (130) are configured to cause the system (100) to perform operations that include: generating a spectral image based on the spectral image data; and identifying, in the spectral image, a position of a first fiducial marker (180i) comprising a first material, based on a first X-ray absorption k-edge energy value (190i) of the first material.

    PROJECTION-DOMAIN MATERIAL DECOMPOSITION FOR SPECTRAL IMAGING

    公开(公告)号:US20240127500A1

    公开(公告)日:2024-04-18

    申请号:US18276902

    申请日:2022-02-15

    CPC classification number: G06T11/006 G06T5/50 G06T5/70 G06T2211/408

    Abstract: The present invention relates to a method (1), resp. a device, system and computer-program product, for material decomposition of spectral imaging projection data. The method comprises receiving (2) projection data acquired by a spectral imaging system and reducing (3) noise in the projection data by combining corresponding spectral values for different projection rays to obtain noise-reduced projection data. The method comprises applying (6) a first projection-domain material decomposition algorithm to the noise-reduced projection data to obtain a first set of material path length estimates, and applying (7) a second projection-domain material decomposition algorithm to the projection data to obtain a second set of material path length estimates. The second projection-domain material decomposition algorithm comprises an optimization that penalizes a deviation between the second set of material path length estimates being optimized and the first set of material path length estimates.

    ENERGY WEIGHTING OF PHOTON COUNTS FOR CONVENTIONAL IMAGING

    公开(公告)号:US20220028127A1

    公开(公告)日:2022-01-27

    申请号:US17312036

    申请日:2019-12-09

    Abstract: A System for image processing, comprising an input interface (IN) for receiving energy resolved count data generated by a photon-counting detector (PCD) with at least 2 energy bin but preferable more than two. A count data transformer (DT) of the system is configured to perform a transformation operation to transform the energy resolved count data into transformed count data, the operation including applying one or more weights to the count data, the weights previously obtained based on i) calibration image data for the or a photon-counting detector and ii) calibration image data for an energy integrating detector. A data convertor component (CC) is configured to convert the transformed count data into through-material path length data. The system allows emulating an energy integrating detector.

    APPARATUS, SYSTEM, METHOD AND COMPUTER PROGRAM FOR RECONSTRUCTING A SPECTRAL IMAGE OF A REGION OF INTEREST OF AN OBJECT

    公开(公告)号:US20200348425A1

    公开(公告)日:2020-11-05

    申请号:US16962857

    申请日:2019-01-17

    Abstract: The invention relates to an image reconstruction apparatus comprising a detector value providing unit for providing detector values for each detector element of a plurality of detector elements forming a radiation detector and for each energy bin of a plurality of predefined energy bins, a correlation value providing unit for providing correlation values, wherein a correlation value is indicative of a correlation of a detector value detected by a detector element in an energy bin with at least one of a) a detector value detected by another detector element in the energy bin, b) a detector value detected by another detector element in another energy bin, and c) a detector value detected by the detector element in another energy bin, and a spectral image reconstruction unit for reconstructing a spectral image based on the detector values and the correlation values.

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