公开(公告)号：US11954178B2

公开(公告)日：2024-04-09

申请号：US17462140

申请日：2021-08-31

Applicant: Siemens Healthcare GmbH

Inventor： Alexander Muehlberg ,  Oliver Taubmann ,  Alexander Katzmann ,  Felix Durlak ,  Michael Wels ,  Felix Lades ,  Rainer Kaergel ,  Michael Suehling

IPC: G06F18/2433 ,  G06F18/21 ,  G06F18/245 ,  G06T7/00

CPC classification number: G06F18/2433 ,  G06F18/2193 ,  G06F18/245 ,  G06T7/0012 ,  G06T2207/20076 ,  G06V2201/03

Abstract: A computer-implemented method is for providing radiomics-related information. In an embodiment, the computer-implemented method includes receiving radiomics-related data; determining, based on the radiomics-related data and an assistance algorithm, a function for processing the radiomics-related data; calculating, based on the radiomics-related data and the function for processing the radiomics-related data, the radiomics-related information; and providing the radiomics-related information.

公开(公告)号：US12213827B2

公开(公告)日：2025-02-04

申请号：US17764326

申请日：2020-09-18

Applicant: Siemens Healthcare GmbH

Inventor： Oliver Taubmann ,  Hendrik Ditt

IPC: A61B6/00 ,  A61B6/50 ,  G06T7/00 ,  G06T7/30

Abstract: At least one example embodiment relates to a computer-implemented method for providing stroke information, the method comprising receiving computed tomography imaging data of an examination area of a patient, the examination area of the patient comprising a plurality of brain regions, at least one brain region of the plurality of brain regions being affected by a stroke, receiving brain atlas data, generating registered imaging data based on the computed tomography imaging data and the brain atlas data, the registered imaging data being registered to the brain atlas data, generating the stroke information regarding the stroke based on a set of algorithms and the registered imaging data, and providing the stroke information.

公开(公告)号：US12002582B2

公开(公告)日：2024-06-04

申请号：US17109332

申请日：2020-12-02

Applicant: Siemens Healthcare GmbH

Inventor： Alexander Muehlberg ,  Oliver Taubmann ,  Alexander Katzmann ,  Michael Suehling

IPC: G16H50/20 ,  A61B6/00 ,  A61B6/03 ,  G06T7/00 ,  G16H15/00 ,  G16H30/20 ,  G16H30/40 ,  G16H50/50 ,  G16H50/70 ,  G16H70/60

CPC classification number: G16H50/20 ,  A61B6/032 ,  A61B6/5217 ,  G06T7/0016 ,  G16H15/00 ,  G16H30/20 ,  G16H30/40 ,  G16H50/50 ,  G16H50/70 ,  G16H70/60 ,  G06T2200/24 ,  G06T2207/20081 ,  G06T2207/30096

Abstract: A computer-implemented method is for providing a clinical information. In an embodiment, the computer-implemented method includes receiving input data including a graph representation of a plurality of disease lesions of a patient; applying a trained function to the input data to generate the clinical information, the trained function being based on a graph machine learning model; and providing the clinical information, the clinical information including at least one information for prediction of the disease progression, survival or therapy response of the patient.

公开(公告)号：US20230317289A1

公开(公告)日：2023-10-05

申请号：US18191624

申请日：2023-03-28

Applicant: Siemens Healthcare GmbH

Inventor： Oliver Taubmann ,  Alexander Katzmann ,  Hendrik Ditt ,  Florian Thamm ,  Leonhard Rist ,  Felix Denzinger ,  Alexander Muehlberg ,  Michael Suehling

IPC: G16H50/20 ,  G06T7/00

CPC classification number: G16H50/20 ,  G06T7/0012 ,  G06T2207/10081 ,  G06T2207/30016

Abstract: One or more example embodiments of the invention relates in one aspect to a computer-implemented method for providing a stroke information. The method includes receiving examination data, the examination data comprising computed tomography imaging data of an examination area of a patient, the examination area of the patient comprising at least one brain region, the at least one brain region being affected by a stroke; adjusting a causal model based on the computed tomography imaging data to obtain an adjusted causal model, wherein the adjusted causal model models a first variable as a first cause for an appearance of the examination area of the patient; receiving a first value for the first variable; generating the stroke information based on the adjusted causal model and the first value for the first variable; and providing the stroke information.

公开(公告)号：US20230267714A1

公开(公告)日：2023-08-24

申请号：US18171744

申请日：2023-02-21

Applicant: Siemens Healthcare GmbH

Inventor： Florian THAMM ,  Markus Juergens ,  Oliver Taubmann ,  Hendrik Ditt

IPC: G06V10/774 ,  G06T7/00 ,  G06V10/764 ,  G06V10/26 ,  G06T7/68

CPC classification number: G06V10/774 ,  G06T7/0014 ,  G06V10/764 ,  G06V10/26 ,  G06T7/68 ,  G06T2207/30101 ,  G06T2207/30008 ,  G06V2201/031 ,  G06T2207/30016 ,  G06T2207/20081

Abstract: A method for generating training data for training a deep learning algorithm, comprising: receiving medical imaging data of an examination area including a first part and a second part of a symmetric organ; splitting the medical imaging data along a symmetry plane or a symmetry axis into a first dataset and a second dataset, wherein the first dataset includes the medical imaging data of the first part and the second dataset includes the medical imaging data of the second part; mirroring the second dataset along the symmetry plane or the symmetry axis; generating the training data by stacking the first dataset and the mirrored second dataset; and providing the training data.

公开(公告)号：US11529110B2

公开(公告)日：2022-12-20

申请号：US17019511

申请日：2020-09-14

Applicant: Siemens Healthcare GmbH

Inventor： Oliver Taubmann ,  Wladimir Lesyuk ,  Michael Suehling ,  Matthias May ,  Michael Uder

IPC: A61B6/03 ,  A61B6/00 ,  G06N3/08

Abstract: A method for operating a medical imaging apparatus includes acquiring a first image data set of a region of interest of the patient; automatically evaluating the first image data set using at least one evaluation algorithm yielding evaluation information, regarding at least one type of findings, describing a presence of at least one finding of the type requiring the acquisition of a second image data set and at least one imaging parameter for the second image data set; automatically notifying a user, upon the evaluation information indicating the presence of a required second image data set, of the required acquisition of the second image data set; and acquiring the second image data set acquiring the second image data set after confirmation of acquisition of the second image data set by the user, in a same examination process, using the at least one imaging parameter of the evaluation information.