公开(公告)号：US20240153037A1

公开(公告)日：2024-05-09

申请号：US18280512

申请日：2022-03-03

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Sebastian Wild ,  Frank Michael Weber ,  Irina Waechter-Stehle ,  Jochen Peters ,  Arne Ewald ,  André Gooßen ,  Matthias Lenga ,  Tobias Wissel ,  David Prater

IPC: G06T5/40 ,  G06T5/50 ,  G06T7/10 ,  G06T7/73

CPC classification number: G06T5/40 ,  G06T5/50 ,  G06T7/10 ,  G06T7/73 ,  G06T2207/10016 ,  G06T2207/10132 ,  G06T2207/30048

Abstract: A method and system for correcting a difference in contrast agent density in a sequence of contrast-enhanced image frames. A reference image frame is defined in the sequence of contrast-enhanced image frames, and segmentation is performed on the reference image frame to determine a location of a region of interest within the reference image frame. The region of interest is a region of the reference image frame that contains contrast agent. Other image frames in the sequence of contrast-enhanced images are corrected based on a difference in contrast agent density/image intensity in the region of interest relative to the region of interest in the reference image frame.

公开(公告)号：US20250069735A1

公开(公告)日：2025-02-27

申请号：US18720693

申请日：2022-12-16

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Jens von Berg ,  Sven Kroenke-Hille ,  Stewart Matthew Young ,  Daniel Bystrov ,  Heiner Matthias Brueck ,  André Gooßen

IPC: G16H40/63 ,  G06T7/00 ,  G16H30/40

Abstract: A computer-implemented method of compensating for image quality issue in an image study. The method includes acquiring a current image study, measuring, via a processor, a patient positioning parameter indicating a deviation of a patient position in the current image study to an optimal patient position for an image exam type of the current image study and analyzing, via an analysis module, the current image study and the determined patient positioning parameter to determine a relationship between positioning errors and a grading of a diagnostic finding for the current image study, wherein the grading of the diagnostic finding includes one of a severity of the diagnostic finding or a certainty classification of the diagnostic finding.

公开(公告)号：US20250054136A1

公开(公告)日：2025-02-13

申请号：US18719545

申请日：2022-12-09

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Nils Thorben Gessert ,  Tanja Lossau ,  Jochen Peters ,  Frank Michael Weber ,  Irina Waechter-Stehle ,  Arne Ewald ,  André Gooßen ,  Alexandra Groth ,  Sebastian Wild

IPC: G06T7/00 ,  G06T7/20 ,  G06V10/24 ,  G06V10/426 ,  G16H50/20

Abstract: A computer implemented method of identifying changes in a subject's heart or an adjacent region over time. The method comprising: receiving a set of imaging data relating to a subject's heart that has been obtained at a plurality of points in time; generating an anatomical model of the subject's heart for each of the images in the set of imaging data so as to provide a set of anatomical models of the subject's heart corresponding to the plurality of points in time; and aligning each of the anatomical models in the set of anatomical models relative to one another so as to provide a set of aligned data of the subject's heart. The aligned data are for identifying changes in at least one region of the subject's heart by comparing the anatomical models in the set of aligned anatomical models using a machine learning model.