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    • 1. 发明公开
    • APPARATUS FOR GENERATING A 3D CONE BEAM CT IMAGE
    • EP4375937A1
    • 2024-05-29
    • EP22209881.6
    • 2022-11-28
    • Koninklijke Philips N.V.
    • BRENDEL, Bernhard JohannesSCHÄFER, Dirk
    • G06T11/00
    • G06T11/006G06T11/008G06T11/005
    • The present invention relates to an apparatus (10) for estimation of Hounsfield unit values for voxels of a 3D cone beam CT image, the apparatus comprising:
      - a processing unit (20); and
      - an output unit (30).
      A 3D cone beam CT image comprises voxels with associated attenuation coefficient values. The processing unit is configured to calculate a histogram of at least some of the voxels of the 3D cone beam CT image representing a number of voxels having specific attenuation coefficient values or specific ranges of attenuation coefficient values. The processing unit is configured to identify a specific attenuation coefficient value or specific range of attenuation coefficient values associated with a first feature representative of a part of the 3D cone beam CT image, wherein the first feature is air or soft tissue or bone, and wherein the identification comprises utilization of the histogram. The processing unit is configured to determine an attenuation value to Hounsfield Unit converter, wherein the determination of the attenuation value to Hounsfield Unit converter comprises utilization of a correlation between the specific attenuation coefficient value or specific range of attenuation coefficient values associated with the first feature with a Hounsfield Unit for the first feature. The processing unit is configured to transform attenuation coefficient values of voxels in the 3D cone beam CT image to Hounsfield Units based on the attenuation value to Hounsfield Unit converter. The output unit is configured to output information relating to Hounsfield units of voxels of the 3D cone beam CT image.
    • 5. 发明公开
    • COMPUTER TOMOGRAPHY X-RAY IMAGING
    • EP3346922A1
    • 2018-07-18
    • EP17765381.3
    • 2017-09-04
    • Koninklijke Philips N.V.
    • BRENDEL, Bernhard JohannesKOEHLER, ThomasPROKSA, Roland
    • A61B6/00A61B6/03
    • A61B6/482A61B6/032A61B6/4241A61B6/5258
    • The present invention relates to computer tomography X-ray imaging. In order to provide further improved data for the reconstruction, a system (10) for computer tomography X-ray imaging is provided. The system comprises a data interface (12) and a processing unit (14). The data interface is configured to provide at least first and second CT X-ray radiation projection data for at least a first and second X-ray energy range, which ranges are different from each other. The processing unit is configured to determine a correction for slice normalization, and to apply an equal slice normalization for the first and the second CT X-ray projection data and thereby generating prepared first and second CT X-ray projection data. For the correction, the equal slice normalization is based on measured data of outer detector elements. Further, the data interface is configured to provide the prepared first and second CT X-ray projection data for further processing. In an example, the system further comprises a computer tomography X-ray imaging acquisition arrangement (20) with an X-ray source (22) configured to generate an X-ray beam, and an X-ray detector (26) configured as an energy discriminating X-ray detector to simultaneously provide X-ray radiation projection data for at least two different X-ray energy ranges separately. The computer tomography X-ray imaging acquisition arrangement is configured to acquire at least the first and second CT X-ray projection data of a region of interest of an object for the at least first and second X-ray energy range.
    • 9. 发明公开
    • AUTOMATIC DETERMINATION OF REGULARIZATION FACTOR FOR ITERATIVE IMAGE RECONSTRUCTION WITH REGULARIZATION AND/OR IMAGE DE-NOISING
    • 对于调节和/或图像降噪图像重建迭代调整因子的自动确定
    • EP2748798A1
    • 2014-07-02
    • EP12812393.2
    • 2012-12-04
    • Koninklijke Philips N.V.Philips Deutschland GmbH
    • BERGNER, FrankBRENDEL, Bernhard JohannesKOEHLER, Thomas
    • G06T11/00
    • G06T5/00G06T11/006G06T2207/20004G06T2211/424
    • A processing component (122) processes images based on an iterative reconstruction algorithm with regularization and/or de-noising algorithm. The processing component includes a set point determiner (224) that determines a quality set point (216) between predetermined lower and upper quality bounds (226) based on a quality variable (228) indicative of an image quality of interest. The processing component further includes a comparator (214) that compares, each processing iteration, a quality metric of a current generated image with the quality set point and generates a difference value indicative of a difference between the quality metric and the quality set point. The processing component further includes a regularization factor updater (220) that generates an updated regularization factor for a next processing iteration based on a current value (222) of the regularization factor and at least the quality metric in response to the difference value indicating that the quality metric is outside of a predetermined range about the quality set point.
    • 处理组件(122)处理在与正则化和/或去噪算法迭代重建算法基于图像。 处理组件包括一组点确定器(224)确实bestimmt预定下限和上限的质量界限之间的质量设定点(216)的基础上一个质量变量(228)指示感兴趣的图像质量的(226)。 该处理部件还包括一个比较器(214)做比较,每个处理迭代时,与质量设定点和基因率的差分值指示所述质量度量和质量设定点之间的差的电流所产生的图像的质量度量。 该处理部件还包括一个正则化因子更新器(220)确实产生更新的正因子的速率用于指示DASS模具基于所述正则化因子和至少所述质量度量的电流值(222)响应于所述差值的下一个处理迭代 质量度量是预定的绕质量设定点的范围之外。