公开(公告)号：US20250009314A1

公开(公告)日：2025-01-09

申请号：US18346291

申请日：2023-07-03

Applicant: Siemens Healthineers AG

Inventor： Mehmet Akif Gulsun ,  Puneet Sharma ,  Max Schöbinger

IPC: A61B6/03 ,  A61B6/00 ,  G06T7/00

Abstract: Systems and methods for performing a medical imaging analysis task from PCCT (photon counting computed tomography) imaging data are provided. PCCT imaging data acquired from a PCCT imaging device is received. A plurality of PCCT virtual images is generated from the PCCT imaging data. A plurality of medical imaging analysis sub-tasks is performed based on the plurality of PCCT virtual images using a plurality of machine learning based networks. Results of the medical imaging analysis sub-tasks are combined to generate results of a medical imaging analysis task. The results of the medical imaging analysis task are output.

公开(公告)号：US12100502B2

公开(公告)日：2024-09-24

申请号：US17655089

申请日：2022-03-16

Applicant: SIEMENS HEALTHINEERS AG

Inventor： Serkan Cimen ,  Mehmet Akif Gulsun ,  Puneet Sharma

IPC: G16H30/40 ,  G06T7/00 ,  G06V10/82

CPC classification number: G16H30/40 ,  G06T7/0016 ,  G06V10/82 ,  G06T2207/30048 ,  G06T2207/30104

Abstract: Systems and methods for determining corresponding locations of points of interest in a plurality of input medical images are provided. A plurality of input medical images comprising a first input medical image and one or more additional input medical images is received. The first input medical image identifies a location of a point of interest. A set of features is extracted from each of the plurality of input medical images. Features between each of the sets of features are related using a machine learning based relational network. A location of the point of interest in each of the one or more additional input medical images that corresponds to the location of the point of interest in the first input medical image is identified based on the related features. The location of the point of interest in each of the one or more additional input medical images is output.

公开(公告)号：US20250014174A1

公开(公告)日：2025-01-09

申请号：US18346292

申请日：2023-07-03

Applicant: Siemens Healthineers AG

Inventor： Mehmet Akif Gulsun ,  Puneet Sharma ,  Max Schöbinger

IPC: G06T7/00 ,  G16H30/40 ,  G16H50/20

Abstract: Systems and methods for training a machine learning based network based on PCCT (photon counting computed tomography) imaging data. PCCT imaging data acquired from a PCCT imaging device is received. One or more PCCT virtual images are generated from the PCCT imaging data. A machine learning based network is trained for performing a medical imaging analysis task based on the one or more PCCT virtual images. The trained machine learning based network is output.

公开(公告)号：US12094112B2

公开(公告)日：2024-09-17

申请号：US17649067

申请日：2022-01-27

Applicant: SIEMENS HEALTHINEERS AG

Inventor： Mehmet Akif Gulsun ,  Puneet Sharma ,  Diana Ioana Stoian ,  Max Schöbinger

IPC: G06T7/00 ,  G06T7/10 ,  G16H30/40 ,  G16H50/20 ,  A61B6/00 ,  A61B6/50

CPC classification number: G06T7/0012 ,  G06T7/10 ,  G16H30/40 ,  G16H50/20 ,  A61B6/504 ,  A61B6/5217 ,  G06T2207/20081 ,  G06T2207/30048 ,  G06T2207/30096 ,  G06T2207/30101

Abstract: Systems and methods for automated assessment of a vessel are provided. One or more input medical images of a vessel of a patient are received. A plurality of vessel assessment tasks for assessing the vessel is performed using a machine learning based model trained using multi-task learning. The plurality of vessel assessment tasks comprises segmentation of reference walls of the vessel from the one or more input medical images and segmentation of lumen of the vessel from the one or more input medical images. Results of the plurality of vessel assessment tasks are output.

公开(公告)号：US20240260917A1

公开(公告)日：2024-08-08

申请号：US18535044

申请日：2023-12-11

Applicant: Siemens Healthineers AG

Inventor： Venkatesh Narasimha Murthy ,  Anamaria Vizitiu ,  Mehmet Akif Gulsun ,  Sebastien Piat ,  Florin-Cristian Ghesu

IPC: A61B6/50 ,  A61B5/0245 ,  A61B6/00 ,  G06T7/00

CPC classification number: A61B6/504 ,  A61B5/0245 ,  A61B6/487 ,  G06T7/0016 ,  G06T2207/10121 ,  G06T2207/20084 ,  G06T2207/30101

Abstract: A vessel imaging sequence including plurality of vessel imaging frames and a corresponding ECG signal are generated by encoding, using a first encoder, an input vessel imaging sequence to generate a plurality of vessel latent space vectors, each vessel latent space vector corresponding to an input vessel imaging frame of the input vessel imaging sequence, encoding, using a second encoder, an input ECG signal to generate a plurality of ECG latent space vectors, decoding, using a first decoder, the plurality of vessel latent space vectors and the plurality of ECG latent space vectors to generate the vessel imaging sequence and decoding, using a second decoder, the vessel latent space vector and the ECG latent space vector to generate the ECG signal.

公开(公告)号：US20240161285A1

公开(公告)日：2024-05-16

申请号：US18465447

申请日：2023-09-12

Applicant: Siemens Healthineers AG

Inventor： Dominik Neumann ,  Alexandru Turcea ,  Lucian Mihai Itu ,  Tiziano Passerini ,  Mehmet Akif Gulsun ,  Martin Berger

IPC: G06T7/00 ,  G06T3/40 ,  G06T7/60

CPC classification number: G06T7/0012 ,  G06T3/40 ,  G06T7/60 ,  G06T2207/10116 ,  G06T2207/30048 ,  G06T2207/30101 ,  G06T2207/30168

Abstract: Various aspects of the disclosure generally pertain to determining estimates of hemodynamic properties based on angiographic x-ray examinations of a coronary system. Various aspects of the disclosure specifically pertain to determining such estimates based on single frame metrics operating on two-dimensional images. For example, the fractional flow reserve (FFR) can be computed.