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    X-ray dose distribution calculation for a computed tomography examination
    1.
    发明授权
    X-ray dose distribution calculation for a computed tomography examination 有权
    计算机断层扫描检查的X射线剂量分布计算

    公开(公告)号：US09406128B2

    公开(公告)日：2016-08-02

    申请号：US14766142

    申请日：2014-04-21

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Peter Prinsen ,  Jens Wiegert ,  Cristian Lorenz ,  Heike Ruppertshofen

    IPC: G06K9/00 ,  G06T7/00 ,  A61B6/03 ,  A61B6/00 ,  G06T11/00 ,  G06T17/00 ,  A61N5/10

    CPC classification number: G06T7/0012 ,  A61B6/03 ,  A61B6/032 ,  A61B6/5294 ,  A61B6/542 ,  A61N2005/1034 ,  G06T11/003 ,  G06T17/00 ,  G06T2207/10072

    Abstract: The invention relates to an apparatus (18) for calculating an x-ray dose distribution within an object for a computed tomography examination. A primary flux determination unit (15) determines firstly a primary flux distribution within the object, wherein then this determined primary flux distribution is used as an initial total flux distribution by a total flux determination unit (16) while applying a six-flux model algorithm. This allows the determination of the total flux distribution to start with a relatively good first approximation of the total flux distribution such that the six-flux model algorithm can determine the total flux distribution very fast. The determined total flux distribution is finally used by a dose distribution determination unit (17) for determining a total dose distribution. The apparatus allows therefore for a very fast determination of x-ray dose distributions for computed tomography examinations.

    Abstract translation: 本发明涉及一种用于计算用于计算机断层摄影检查的对象内的x射线剂量分布的装置（18）。 主要通量确定单元（15）首先确定物体内的主要通量分布，其中随后将该确定的主要通量分布用作总通量确定单元（16）的初始总通量分布，同时施加六通量模型算法 。 这允许总通量分布的确定从总通量分布的相对良好的第一近似开始，使得六通量模型算法可以非常快速地确定总通量分布。 确定的总通量分布最终由剂量分布确定单元（17）用于确定总剂量分布。 因此，该装置可以非常快速地确定计算机断层扫描检查的x射线剂量分布。

    Planning apparatus for planning a radiation therapy
    3.
    发明授权
    Planning apparatus for planning a radiation therapy 有权

    公开(公告)号：US12017089B2

    公开(公告)日：2024-06-25

    申请号：US17558637

    申请日：2021-12-22

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Nick Flaeschner ,  Harald Sepp Heese ,  Maria Luiza Bondar ,  Kay Sun ,  Jens Wiegert ,  Rolf Juergen Weese

    IPC: A61N5/10

    CPC classification number: A61N5/1039 ,  A61N5/1045

    Abstract: The invention relates to a planning apparatus for planning a radiation therapy. A medical image, in which a target to be irradiated is indicated, is reformatted based on ray geometries to be used during the radiation therapy to be planned, resulting in several reformatted medical images. Radiation therapy parameters being indicative of intensities of rays 5 to be used for irradiating a target 4 are determined based on the reformatted medical images by using a neural network unit. This allows to determine high quality radiation therapy parameters and hence allows for an improved planning of a radiation therapy. In particular, radiation and absorptions physics can be captured better, which can lead to the improved quality.

    Deep learning based scatter correction
    4.
    发明授权
    Deep learning based scatter correction 有权

    公开(公告)号：US11769277B2

    公开(公告)日：2023-09-26

    申请号：US16650941

    申请日：2018-09-28

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Shiyu Xu ,  Peter Prinsen ,  Jens Wiegert ,  Ravindra Mohan Manjeshwar

    IPC: G06T11/00 ,  G06N3/08

    CPC classification number: G06T11/005 ,  G06N3/08 ,  G06T2210/41

    Abstract: An imaging system includes a computed tomography (CT) imaging device (10) (optionally a spectral CT), an electronic processor (16, 50), and a non-transitory storage medium (18, 52) storing a neural network (40) trained on simulated imaging data (74) generated by Monte Carlo simulation (60) including simulation of at least one scattering mechanism (66) to convert CT imaging data to a scatter estimate in projection space or to convert an uncorrected reconstructed CT image to a scatter estimate in image space. The storage medium further stores instructions readable and executable by the electronic processor to reconstruct CT imaging data (12, 14) acquired by the CT imaging device to generate a scatter-corrected reconstructed CT image (42). This includes generating a scatter estimate (92, 112, 132, 162, 182) by applying the neural network to the acquired CT imaging data or to an uncorrected CT image (178) reconstructed from the acquired CT imaging data.

    Apparatus for adaptive contouring of a body part
    5.
    发明授权
    Apparatus for adaptive contouring of a body part 有权

    公开(公告)号：US10937170B2

    公开(公告)日：2021-03-02

    申请号：US16332859

    申请日：2017-09-21

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Christian Buerger ,  Jens Wiegert ,  Steffen Renisch

    IPC: G06T7/149 ,  G06T7/12 ,  A61B6/00 ,  G06T7/174

    Abstract: The present invention relates to an apparatus for adaptive contouring of a body part. It is described to provide (210) at least one image; wherein, the at least one image comprises a first image comprising image data of a body part. An initial automatic model based segmentation of image data of the body part in the first image is determined (220). Final segmentation data of the body part is determined (230) in response to a modification of the initial automatic model based segmentation. An updated model based segmentation can be applied (240) on the basis of the initial automatic model based segmentation and the final segmentation data.

    Radiation therapy planning
    8.
    发明授权
    Radiation therapy planning 有权

    公开(公告)号：US12023518B2

    公开(公告)日：2024-07-02

    申请号：US17551642

    申请日：2021-12-15

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Rolf Juergen Weese ,  Alfonso Agatino Isola ,  Maria Luiza Bondar ,  Torbjoern Vik ,  Nick Flaeschner ,  Jens Wiegert ,  Harald Sepp Heese

    IPC: A61N5/10

    CPC classification number: A61N5/1038 ,  A61N5/1048

    Abstract: The invention relates a system for assisting in planning a radiation therapy treatment provided using a treatment plan comprising irradiation parameters for controlling a delivery of radiation. The system is configured to (i) receive a first dose distribution, (ii) obtain a first objective function, which depends upon at least one parameter and a dose distribution, (iii) determine a first value of the parameter such that the first objective function fulfills a predefined criterion when being evaluated for the first value of the parameter and for a second dose distribution derived from the first dose distribution, (iii) provide the first objective function in connection with the first value of the at least one parameter to a user for modifying the first objective function to generate a second objective function, and (v) determine the treatment plan using the second objective function. Further, the invention relates to a corresponding method and computer program.

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