公开(公告)号：US20200058389A1

公开(公告)日：2020-02-20

申请号：US16344428

申请日：2017-11-07

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Axel Saalbach ,  Julien Senegas ,  Alexandra Groth ,  Sascha Andreas Jockel ,  Martin Bergtholdt

IPC: G16H30/40 ,  G06N3/04 ,  G06N3/08 ,  G16H10/60 ,  G06T7/80 ,  A61B5/00 ,  A61B5/055 ,  A61B6/06 ,  A61B6/00 ,  A61B6/03

Abstract: A system and method are provided for selecting an acquisition parameter for an imaging system. The acquisition parameter at least in part defines an imaging configuration of the imaging system during an imaging procedure with a patient. A depth-related map is accessed which is generated on the basis of sensor data from a camera system, wherein the camera system has a field of view which includes at least part of a field of view of the imaging system, wherein the sensor data is obtained before the imaging procedure with the patient and indicative of a distance that parts of the patient's exterior have towards the camera system. A machine learning algorithm is applied to the depth-related map to identify the acquisition parameter, which may be provided to the imaging system.

公开(公告)号：US10515478B2

公开(公告)日：2019-12-24

申请号：US15822482

申请日：2017-11-27

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Rafael Wiemker ,  Tobias Klinder ,  Martin Bergtholdt ,  Cristian Lorenz

IPC: G06T15/08 ,  A61B6/03 ,  G06T7/00 ,  A61B6/00 ,  G06T15/06 ,  G06T7/30

Abstract: A method for processing image data includes obtaining a first set of 3D volumetric image data. The 3D volumetric image data includes a volume of voxels. Each voxel has an intensity. The method further includes obtaining a local voxel noise estimate for each of the voxels of the volume. The method further includes processing the volume of voxels based at least on the intensity of the voxels and the local voxel noise estimates of the voxels. An image data processor (124) includes a computer processor that at least one of: generate a 2D direct volume rendering from first 3D volumetric image data based on voxel intensity and individual local voxel noise estimates of the first 3D volumetric image data, or registers second 3D volumetric image data and first 3D volumetric image data based at least one individual local voxel noise estimates of second and first 3D volumetric image data sets.

公开(公告)号：US10332238B2

公开(公告)日：2019-06-25

申请号：US15315402

申请日：2015-06-22

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Rafael Wiemker ,  Thomas Buelow ,  Tobias Klinder ,  Martin Bergtholdt ,  Irina Waechter-Stehle

IPC: G06K9/00 ,  G06T3/00 ,  G06T15/08 ,  G06T19/00 ,  G06T7/11 ,  G06T7/194 ,  G06F19/00 ,  G06T19/20

Abstract: Image processing method or apparatus (IP) to transform a 3D image data set (DS) into a visually protected one (DSX). The 3D image set includes an object region (OR) and a background region (BR) that defines s silhouette of an imaged object (P). An inadvertent or malicious direct volume rendering of the silhouette (IF) of the object is prevented by applying a randomization operation to at least the background region (BR).

公开(公告)号：US10331981B2

公开(公告)日：2019-06-25

申请号：US15564263

申请日：2016-04-25

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Fabian Wenzel ,  Thomas Heiko Stehle ,  Lyubomir Georgiev Zagorchev ,  Jochen Peters ,  Martin Bergtholdt ,  Carsten Meyer

IPC: G06K9/62 ,  G06K9/20 ,  G06T7/00 ,  A61B5/00 ,  A61B5/055

Abstract: A system and method are provided for brain tissue classification, which involves applying an automated tissue classification technique to an image of a brain based on a prior probability map, thereby obtaining a tissue classification map of the brain. A user is enabled to, using a user interaction subsystem, provide user feedback which is indicative of a) an area of misclassification in the tissue classification map and b) a correction of the misclassification. The prior probability map is then adjusted based on the user feedback to obtain an adjusted prior probability map, and the automated tissue classification technique is re-applied to the image based on the adjusted prior probability map. An advantage over a direct correction of the tissue classification map may be that the user does not need to indicate the area of misclassification or the correction of the misclassification with a highest degree of accuracy. Rather, it may suffice to provide an approximate indication thereof.

公开(公告)号：US09684961B2

公开(公告)日：2017-06-20

申请号：US14768236

申请日：2014-02-26

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Julien Senegas ,  Axel Saalbach ,  Martin Bergtholdt ,  Thomas Netsch ,  Peter Mazurkewitz

IPC: G06T7/00 ,  G06K9/62 ,  G06T7/73

CPC classification number: G06T7/0014 ,  G06K9/6269 ,  G06T7/74 ,  G06T2207/10081 ,  G06T2207/10104

Abstract: The invention relates to a scan region determining apparatus (12) for determining a scan region of a subject to be scanned by a scanning system (10) like a computed tomography system. A spatial transformation defining a registration of an overview image and a template image with respect to each other is determined, wherein initially the overview image and the template image are registered by using an element position indicator being indicative of a position of an element of the subject with respect to the overview image. A template scan region is defined with respect to the template image, wherein a final scan region is determined by projecting the template scan region onto the overview image by using the determined spatial transformation. The registration and thus the determination of the spatial transformation are very robust, which improves the quality of determining the final scan region.