知搜-全球专利检索

  1. Login
  2. Sign Up

Search Results

4742 records (took 0.027 seconds)

    Computer-implemented method for handling artifacts in multi-energy computed tomography, x-ray imaging device, computer program and electronically readable storage medium
    1.
    发明授权
    Computer-implemented method for handling artifacts in multi-energy computed tomography, x-ray imaging device, computer program and electronically readable storage medium 有权

    公开(公告)号：US12223569B2

    公开(公告)日：2025-02-11

    申请号：US17529459

    申请日：2021-11-18

    Applicant: Siemens Healthcare GmbH

    Inventor： Bernhard Schmidt ,  Katharine Grant ,  Thomas Flohr

    IPC: G06T11/00 ,  A61B6/00 ,  A61B6/03 ,  G06T7/00 ,  G06V10/22

    Abstract: A computer-implemented method of an embodiment is for automatically estimating and/or correcting an error due to artifacts in a multi-energy computed tomography result dataset relating to at least one target material. In an embodiment, the method includes determining at least one first subregion of the imaging region, which is free from the target material and contains at least one, in particular exactly one, second material with known material-specific energy dependence of x-ray attenuation; for each first subregion, comparing the image values of the energy dataset for each voxel, taking into account the known energy dependence, to determine deviation values indicative of artifacts; and for at least a part of the at least one remaining second subregion of the imaging region, calculating estimated deviation values by interpolating and/or extrapolating from the determined deviation values in the first subregion, the estimated deviation values being used as estimated error due to artifacts.

    Method and system for measuring a maturation stage using MRI
    2.
    发明授权
    Method and system for measuring a maturation stage using MRI 有权

    公开(公告)号：US12217426B2

    公开(公告)日：2025-02-04

    申请号：US17207963

    申请日：2021-03-22

    Applicant: SIEMENS HEALTHCARE GMBH

    Inventor： Gian Franco Piredda ,  Tobias Kober ,  Tom Hilbert ,  Lars Lauer

    IPC: G06T7/00 ,  A61B5/055

    Abstract: A system and a method for measuring a maturation stage of a biological organ are based on quantitative MR maps for the organ. The method includes acquiring with a first interface and for a subject, a quantitative MR map for the organ. The quantitative MR map includes voxels each characterized by a quantitative value. The quantitative value of each voxel represents a measurement of a physical or physiological property of a tissue of the biological organ for the voxel. The method also includes applying to the quantitative map a trained function to estimate the subject organ maturation stage, and the trained function outputting an age. The method provides with a second interface the maturation stage of the organ of the subject as being the output age.

    Imaging method with improved image quality
    5.
    发明授权
    Imaging method with improved image quality 有权

    公开(公告)号：US12169919B2

    公开(公告)日：2024-12-17

    申请号：US17572047

    申请日：2022-01-10

    Applicant: Siemens Healthcare GmbH

    Inventor： Stefan Böhm ,  Boris Stowasser

    IPC: G06T5/94 ,  G06T5/20 ,  G06T5/50 ,  G06T7/00

    Abstract: A vessel image, which maps a vessel structure, and a device image, which maps a device, are created. A processor, depending on the device image and the vessel image, creates an overlaying image. At least one filter algorithm is applied to the device image, creating a filtered device image. The overlaying image is created by overlaying of the vessel image with the filtered device image.

    Method for generating a trained machine learning algorithm
    6.
    发明授权
    Method for generating a trained machine learning algorithm 有权

    公开(公告)号：US12165314B2

    公开(公告)日：2024-12-10

    申请号：US17487156

    申请日：2021-09-28

    Applicant: Siemens Healthcare GmbH

    Inventor： Daniel Lerch ,  Robert Tamas Derzsi

    IPC: G06T7/00 ,  A61B6/03 ,  G06F18/214 ,  G06T11/00 ,  G16H30/40

    Abstract: At least one embodiment relates to a method for training a machine learning algorithm. In an embodiment, the method includes provisioning a training apparatus with a machine learning algorithm to be trained, having a secure data connection to a medical-engineering imaging system; creating a plurality of training datasets based on image recordings, each training dataset of the plurality of training datasets being furnished with a ground truth or being linked by data link; sending training datasets, of the plurality of training datasets, to the training apparatus via the secure data connection; training the machine learning algorithm via the training apparatus, with the training datasets to create a trained machine learning algorithm; and sending a parameter dataset of the trained machine learning algorithm to the central computing apparatus via the data interface. A corresponding machine learning algorithm, a control facility, an imaging system and a multi-device network are also disclosed.

    Monitoring method and medical system
    7.
    发明授权
    Monitoring method and medical system 有权

    公开(公告)号：US12161431B2

    公开(公告)日：2024-12-10

    申请号：US17244922

    申请日：2021-04-29

    Applicant: Siemens Healthcare GmbH

    Inventor： Christian Kaethner ,  Andreas Meyer ,  Michael Wiets

    IPC: A61B34/30 ,  A61B34/20 ,  A61B34/32 ,  A61B90/00

    Abstract: A method for automatically monitoring a robot-assisted movement of a medical object through a hollow organ of a medical object of a patient performed by a robotic system is provided. The method includes tracking movement of the medical object using a medical imaging device such that the medical object and/or the hollow organ is at least partially arranged in a recording region that is mappable by the imaging device. The tracking is effected by a relative movement between the recording system of the imaging device and the patient. An image of the recording region is recorded during the tracking. In each case, a further image is recorded at regular intervals. The current image in each case and/or sensor data from a sensor assigned to the robotic system or the object is evaluated to determine whether a situation relevant to decision-making and/or safety with respect to the robotic system is present.

    Virtual enhancement of a camera image
    8.
    发明授权
    Virtual enhancement of a camera image 有权

    公开(公告)号：US12159355B2

    公开(公告)日：2024-12-03

    申请号：US17750572

    申请日：2022-05-23

    Applicant: Siemens Healthcare GmbH

    Inventor： Alois Regensburger ,  Amilcar Alzaga

    IPC: G06T19/00 ,  A61B1/00 ,  A61B1/313 ,  G06T7/60

    Abstract: According to a method for virtual enhancement of a camera image, a camera image depicting an object is generated. A geometric description of a virtual auxiliary object as a surface in space and a pose of the auxiliary object with respect to the object are specified, wherein the auxiliary object separates part of the object from the rest of the object. An enhanced image is generated based on a superimposition of the camera image with a representation of the auxiliary object depending on the geometric description and the pose of the auxiliary object by a computing unit and displayed on a display device. The enhanced image is generated and displayed in such a way that the auxiliary object has a spatially variable transparency.

    Adjusting a parameter for noise suppression in X-ray imaging
    10.
    发明授权
    Adjusting a parameter for noise suppression in X-ray imaging 有权

    公开(公告)号：US12125172B2

    公开(公告)日：2024-10-22

    申请号：US17592699

    申请日：2022-02-04

    Applicant: Siemens Healthcare GmbH

    Inventor： Sai Gokul Hariharan ,  Christian Kaethner

    IPC: G06T5/70 ,  G06T7/00

    CPC classification number: G06T5/70 ,  G06T7/0012 ,  G06T2207/10116

    Abstract: An object of this disclosure is to allow dose-specific alteration of the noise suppression in X-ray images, wherein the image quality may change only below the threshold of perceptibility. To achieve this, a method is provided for adjusting a parameter for noise suppression in X-ray imaging, in which quality functions are determined in relation to a variation of a noise suppression parameter. Maximum values of the variation are set for each quality function based on a threshold value. The variability of the noise suppression parameter may be limited according to the X-ray dose up to the set maximum value.

Patent Agency Ranking