公开(公告)号：US20240013355A1

公开(公告)日：2024-01-11

申请号：US18037333

申请日：2021-11-15

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： RAFAEL WIEMKER ,  AMAR CHANDRA DHANANTWARI

IPC: G06T5/00 ,  G06T5/50

CPC classification number: G06T5/008 ,  G06T5/50 ,  G06T5/002 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20182 ,  G06T2207/30028 ,  G06T2207/20224

Abstract: A mechanism for reducing the appearance of tagged elements in a medical image. This is achieved by processing the medical image to generate a separate, suppression image that contains only the tagged elements. The medical image and the suppression image are then combined to reduce the appearance of the tagged elements in the medical image. This can be achieved through modification of the suppressed image, before the combination, and/or weighting of the medical image and the suppression image during combination.

公开(公告)号：US20240005455A1

公开(公告)日：2024-01-04

申请号：US18038562

申请日：2021-11-28

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： RAFAEL WIEMKER ,  LIRAN GOSHEN ,  HEIKE CAROLUS RUPPERTSHOFEN ,  TOBIAS KLINDER

IPC: G06T5/00 ,  G06T11/00 ,  G06T7/12 ,  G06T5/20

CPC classification number: G06T5/002 ,  G06T11/008 ,  G06T7/12 ,  G06T5/20 ,  G06T2211/404 ,  G06T2210/41 ,  G06T2207/30104 ,  G06T2207/30028 ,  G06T2207/20081 ,  G06T2207/10088 ,  G06T2207/10081

Abstract: The present invention relates to edge restoration. In order to improve a restoration of the artificially created cleansed edges, an apparatus is proposed to automatically restore image edges after digital subtraction of digital material substitution to optimally resemble image edges in unmodified locations. The appearance of edges is machine-learned in an unsupervised non-analytical way from unmodified locations, and then, after digital suppression or digital material substitution, applied to the artificially created cleansed edges.

公开(公告)号：US20230410307A1

公开(公告)日：2023-12-21

申请号：US18037586

申请日：2021-11-22

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： HANNES NICKISCH ,  HOLGER SCHMITT ,  CLAAS BONTUS ,  RAFAEL WIEMKER

IPC: G06T7/00 ,  A61B6/00 ,  G06T7/11 ,  G06T7/60 ,  G16H30/40

CPC classification number: G06T7/0014 ,  A61B6/507 ,  A61B6/503 ,  G06T7/11 ,  G06T7/60 ,  G16H30/40 ,  G06T2207/20021 ,  G06T2207/30048 ,  G06T2207/30104 ,  G06T2207/10081

Abstract: A method for visualization may include: obtaining data of a first perfusion measure of myocardial tissues of a patient; obtaining data of a geometry of a coronary artery of the patient; obtaining data of a second perfusion measure of the coronary artery; obtaining data of a flow impediment measure along the coronary artery based on the data of the second perfusion measure of the coronary artery; and visualizing, on a single image, the first perfusion measure of the myocardial tissues and the coronary artery, the coronary artery being overlaid with the first perfusion measure on the single image, the visualized coronary artery representing the geometry of the coronary artery and the flow impediment measure along the coronary artery.

公开(公告)号：US20230334732A1

公开(公告)日：2023-10-19

申请号：US18035121

申请日：2021-10-28

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： RAFAEL WIEMKER ,  DANIEL BYSTROV ,  LIRAN GOSHEN

IPC: G06T11/00 ,  G06T15/08 ,  G06T15/06

CPC classification number: G06T11/008 ,  G06T15/08 ,  G06T15/06 ,  G06T2211/40 ,  G06T2210/41

Abstract: A method for generating an image representation of slices through a body based on tomographic imaging data for the body. The method comprises processing reconstructed tomographic image slices to selectively embed in each slice image information from at least one 3D volume rendering of the slice plane within the 3D tomographic image dataset. This is done through a selection process wherein, based on a set of pre-defined criteria, a decision is made for each pixel in each reconstructed tomographic slice as to whether the pixel value should be replaced with a new, modified pixel value determined based on the at least one volume rendering. This may comprise simply swapping the pixel value for the value of the corresponding pixel value in the volume rendering, or it may comprise a more complex process, for instance blending the two values, or adjusting a transparency of the pixel value based on the at least one volume rendering.

公开(公告)号：US20220101626A1

公开(公告)日：2022-03-31

申请号：US17426759

申请日：2020-01-21

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： MATTHIAS LENGA ,  RAFAEL WIEMKER ,  TOBIAS KLINDER ,  MARTEN BERGTHOLDT ,  HEIKE CAROLUS

IPC: G06V10/776 ,  G06T3/00 ,  G06V10/82 ,  G06N20/00

Abstract: Presented are concepts for obtaining a confidence measure for a machine learning model. One such concept process input data with the machine learning model to generate a primary result. It also generate a plurality of modified instances of the input data and processes the plurality of modified instances of the input data with the machine learning model to generate a respective plurality of secondary results. A confidence measure relating to the primary result is determined based on the secondary results.

公开(公告)号：US20220101617A1

公开(公告)日：2022-03-31

申请号：US17298038

申请日：2019-11-22

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： RAFAEL WIEMKER ,  MUKTA JOSHI ,  JORG SABCZYNSKI ,  TOBIAS KLINDER

IPC: G06T19/20

Abstract: A three-dimensional virtual endoscopy rendering of a lumen of a tubular structure is based on both non-spectral and spectral volumetric imaging data. The three-dimensional virtual endoscopy rendering includes a 2-D image of a lumen of the tubular structure from a viewpoint of a virtual camera of a virtual endoscope passing through the lumen. In one instance, the three-dimensional virtual endoscopy rendering is similar to the view which is provided by a physical endoscopic video camera inserted into the actual tubular structure and positioned at that location. The non-spectral volumetric image data is used to determine an opacity and shading of the three-dimensional virtual endoscopy rendering. The spectral volumetric image data is used to visually encode the three-dimensional virtual endoscopy rendering to visually distinguish an inner wall of the tubular structure and structure of interest on the wall.