公开(公告)号：US20250054138A1

公开(公告)日：2025-02-13

申请号：US18720157

申请日：2022-12-16

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： DIRK SCHAEFER ,  CHRISTIAN HAASE ,  MICHAEL GRASS ,  DANIEL SIMON ANNA RUIJTERS ,  WOUTER WIGGERS ,  IVO CANJELS ,  MARIJKE ANTONIA ADRIANA VAN VLIMMEREN ,  ROBERT VAN KEULEN ,  ANGELIQUE BALGUID

IPC: G06T7/00 ,  G06V10/25

Abstract: All X-ray computerized tomography systems that are available or proposed base their reconstructions on measurements that integrate over energy. X-ray tubes produce a broad spectrum of photon energies and a great deal of information can be derived by measuring changes in the transmitted spectrum. We show that for any material, complete energy spectral information may be summarized by a few constants which are independent of energy. A technique is presented which uses simple, low-resolution, energy spectrum measurements and conventional computerized tomography techniques to calculate these constants at every point within a cross-section of an object. For comparable accuracy, patient dose is shown to be approximately the same as that produced by conventional systems. Possible uses of energy spectral information for diagnosis are presented.

公开(公告)号：US20250046428A1

公开(公告)日：2025-02-06

申请号：US18717494

申请日：2022-12-06

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： AXEL SAALBACH ,  TIM PHILIPP HARDER ,  THOMAS BUELOW ,  ANDRE GOOSSEN ,  SVEN KROENKE-HILLE ,  JENS VON BERG ,  MICHAEL GRASS

IPC: G16H30/40 ,  G06F3/04842 ,  G06T5/77 ,  G06V10/82 ,  G16H30/20 ,  G16H50/20 ,  G16H50/70

Abstract: Technology provides baseline images for diagnostic applications, including receiving a diagnostic image relating to a condition of a patient, the diagnostic image reflecting one of a normal state or an abnormal state of the condition, and generating a baseline image via a neural network using the diagnostic image, where the neural network is trained to generate a prediction of the diagnostic image reflecting a normal state of the condition. The neural network can include a generative adversarial network (GAN) trained only on image data with a normal state of the condition, where generating the baseline image includes an optimization process to maximize a similarity between the diagnostic image and a response of the GAN. Generating the baseline image can include selecting a portion of the diagnostic image, and adjusting a relevance weighting to be applied to the selected portion of the diagnostic image in the optimization process.

公开(公告)号：US20240185483A1

公开(公告)日：2024-06-06

申请号：US18287534

申请日：2022-04-22

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： MIKHAIL BORTNIKOV ,  NIKOLAS DAVID SCHNELLBAECHER ,  FRANK BERGNER ,  MICHAEL GRASS

IPC: G06T11/00

CPC classification number: G06T11/006

Abstract: An output dataset is produced that comprises projection domain data for a desired/target imaging angle. Input datasets are processed that contain projection domain data captured/obtained at the desired/target imaging angle, as well as projection domain data captured/obtained at one or more further predetermined imaging angles. to produce the output dataset.

公开(公告)号：US20230419496A1

公开(公告)日：2023-12-28

申请号：US18037892

申请日：2021-11-22

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： CHRISTIAN WUELKER ,  KEVIN MARTIN BROWN ,  MICHAEL GRASS

IPC: G06T7/11 ,  G06T7/00

CPC classification number: G06T7/11 ,  G06T7/0012 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/10108 ,  G06T2207/10116

Abstract: A method is provided for processing medical images, the method including receiving a first image and a second image different from the first image, where the second image is of the same subject matter as the first image. The method further includes identifying a plurality of anatomical structures in the first image and defining a plurality of image segments in the second image based N on locations of the anatomical structures identified in the first image. The method then applies a processing routine associated with a first anatomical structure to the first image segment in the second image and a processing routine associated with a second anatomical structure to the second image segment in the second image. Also provided is an imaging system for implementing the described method and a non-transitory computer readable medium storing a program for processing medical images.

公开(公告)号：US20230309936A1

公开(公告)日：2023-10-05

申请号：US18023895

申请日：2021-08-26

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： AXEL SAALBACH ,  ILYAS SIRAZITDINOV ,  LEONHARD STEINMEISTER ,  HARALD ITTRICH ,  MATTHIAS LENGA ,  IVO MATTEO BALTRUSCHAT ,  MICHAEL GRASS

IPC: A61B6/12 ,  G06T7/00 ,  G06T7/73 ,  G16H50/20 ,  G16H20/40

CPC classification number: A61B6/12 ,  G06T7/0014 ,  G06T7/74 ,  G16H50/20 ,  G16H20/40 ,  A61M2025/0166

Abstract: The present invention relates to a system and a method for automatic verification of a positioning of a medical device with respect to an anatomy of a patient in a medical image. A position of a plurality of reference points in a medical image is detected. Further, a presence and a position of a medical device in the medical image is detected. An expected position of the medical device is determined based on the position of the plurality of reference points, and a measure of a correctness of the positioning of the medical device is provided based on a proximity of the position of the medical device to the expected position of the medical device. The measure of the correctness of the positioning of the medical device is provided.

公开(公告)号：US20230252607A1

公开(公告)日：2023-08-10

申请号：US18014893

申请日：2021-07-02

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： NIKOLAS DAVID SCHNELLBAECHER ,  CHRISTIAN WUELKER ,  MICHAEL GRASS

IPC: G06T5/00 ,  G06T5/20

CPC classification number: G06T5/002 ,  G06T5/20 ,  G06T2200/04 ,  G06T2207/10116 ,  G06T2207/20084

Abstract: System and related methods for de-noising 3D imagery. The system (IPS) comprises a pre-trained discriminative neural network (NN). The network includes a sequence of 3D convolutional operators (CV) for processing a received 3D image volume into a 3D output image. The 3D output image has a lower noise level than the 3D input image.

公开(公告)号：US20230233167A1

公开(公告)日：2023-07-27

申请号：US18010557

申请日：2021-06-14

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： MICHAEL GRASS ,  THOMAS KOEHLER

IPC: A61B6/00

CPC classification number: A61B6/488 ,  A61B6/5217 ,  A61B6/545

Abstract: The present invention relates to an X-ray imaging system (10), comprising an X-ray image acquisition unit (20); and a processing unit (30). The X-ray image acquisition unit is configured to operate in at least one scout scan mode of operation. The X-ray image acquisition unit is configured to operate in a plurality of diagnostic image acquisition modes of operation. The X-ray image acquisition unit is configured to operate in a specific scout scan mode of operation of the at least one scout scan mode of operation to acquire a scanogram of a body part of a patient. The X-ray image acquisition unit is configured to provide the scanogram to the processing unit. The processing unit is configured to execute a trained machine learning algorithm to analyse the scanogram to select a specific diagnostic image acquisition mode of operation of the plurality of diagnostic image acquisition modes of operation, wherein the selection comprises a determination of one or more probabilities for one or more diseases or conditions associated with the body part f the patient. The X-ray image acquisition unit is configured to operate in the specific diagnostic image acquisition mode of operation o acquire diagnostic image data of the body part of the patient.

公开(公告)号：US20220257138A1

公开(公告)日：2022-08-18

申请号：US17555547

申请日：2021-12-20

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： BERNHARD GLEICH ,  JUERGEN ERWIN RAHMER ,  MICHAEL GRASS ,  MARCO VERSTEGE ,  DIRK SCHAEFER ,  WIM CROOIJMANS

IPC: A61B5/06 ,  A61B34/20

Abstract: A tracking system for tracking a marker device for being attached to a medical device is provided, whereby the marker device includes a sensing unit comprising a magnetic object which may be excited by an external magnetic or electromagnetic excitation field into a mechanical oscillation of the magnetic object, and the tracking system comprises a field generator for generating a predetermined magnetic or electromagnetic excitation field for inducing mechanical oscillations of the magnetic object, a transducer for transducing a magnetic or electromagnetic field generated by the induced mechanical oscillations of the magnetic object into one or more electrical response signals, and a position determination unit for determining the position of the marker device on the basis of the one or more electrical response signals.

公开(公告)号：US20210012545A1

公开(公告)日：2021-01-14

申请号：US17040744

申请日：2019-03-18

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： CHRISTIAN HAASE ,  MICHAEL GRASS ,  DIRK SCHAEFER

IPC: G06T11/00 ,  G06K9/32 ,  G06T7/00 ,  G06K9/62 ,  A61B6/03 ,  A61B6/00

Abstract: Cone beam computed tomography image acquisition protocols typically acquire a series of 2D projection images around a region of interest of a patient. The time required for a C-arm to travel around an acquisition orbit around the region of interest of a patient is non-trivial, and as a result, a patient being imaged may move during the acquisition. This is problematic because many computed tomography image acquisition algorithms assume that a patient is perfectly still during the acquisition time. If patient moves as the series of 2D projection images is being obtained, a 3D reconstruction will be affected by image artefacts. This application proposes to identify and to remove image artefacts caused by the relative motion of at least two rigid objects in the region of interest (For example, a mandible moving with respect to a skull during the acquisition). The at least two rigid objects have a more predictable motion characteristic, which may be used to correct 2D images of the input projection image sequence before a final reconstruction step. Accordingly, 3D images of a patient may be provided with fewer artefacts even when a patient moves during an acquisition.

公开(公告)号：US20250078215A1

公开(公告)日：2025-03-06

申请号：US18719887

申请日：2022-12-08

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： FRANK BERGNER ,  CHRISTIAN WUELKER ,  BERNHARD JOHANNES BRENDEL ,  NIKOLAS DAVID SCHNELLBÄCHER ,  MICHAEL GRASS ,  KEVIN MARTIN BROWN ,  MICHAEL STEPHEN WESTMORE

IPC: G06T5/70 ,  G06T5/60

Abstract: A mechanism for generating denoised basis images for a computed tomography scanner. An input dataset, comprising first and second basis image data, is processed using a machine-learning algorithm process to produce the denoised basis images. The first and second basis image data each comprise at least one basis image, wherein the type of image differs between the first and second basis image data.