-
公开(公告)号：US20240354911A1
公开(公告)日：2024-10-24
申请号：US18687321
申请日：2022-08-19
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： CHRISTIAN WUELKER , NILOLAS DAVID SCHNELLBAECHER , FRANK BERGNER , KEVIN MARTIN BROWN , MICHAEL GRASS
CPC classification number: G06T5/70 , A61B6/5258 , G06T5/50 , G06T5/60 , G06T2207/10081 , G06T2207/20084 , G06T2207/20224
Abstract: An approach for denoising a medical image. A noise map, which defines an estimate of one or more statistical parameters for each pixel of the medical image, is used to modify or normalize the medical image. The modified medical image is then processed, using a machine-learning method, to produce a denoised medical image.
-
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
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.
-
公开(公告)号：US20240095885A1
公开(公告)日：2024-03-21
申请号：US18038580
申请日：2021-12-02
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： NIKOLAS DAVID SCHNELLBÄCHER , CHRISTIAN WUELKER , FRANK BERGNER , KEVIN MARTIN BROWN , MICHAEL GRASS
CPC classification number: G06T5/002 , G06T5/50 , G06T2207/10072 , G06T2207/20084 , G06T2207/20221
Abstract: A mechanism for generating a partially denoised image. A residual noise image, obtained by processing an image using a convolutional neural network, is weighted. The blending or combination of the weighted residual noise image and the (original) image generates the partially denoised image.
-
公开(公告)号：US20250057499A1
公开(公告)日：2025-02-20
申请号：US18719900
申请日：2022-12-15
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： CHRISTIAN WUELKER , SEBASTIAN WILD , MICHAEL GRASS
Abstract: A mechanism for generating denoised basis projection data. Low-energy projection data and high-energy projection data is processed using a neural network that is trained to perform the dual task of decomposition and denoising. The neural network thereby directly outputs basis projection data, taking the place of existing decomposition and denoising techniques.
-
公开(公告)号：US20250054209A1
公开(公告)日：2025-02-13
申请号：US18719891
申请日：2022-12-08
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： MICHAEL GRASS , CHRISTIAN WUELKER , THOMAS HEIKO STEHLE , ROLAND PROKSA , THOMAS KOEHLER
IPC: G06T11/00 , G06T3/4053
Abstract: A mechanism for processing projection data generated by a computed tomography scanner. The projection data is processed by a machine-learning algorithm trained to perform an up-sampling or super-resolution technique on input data in order to generate higher resolution projection data.
-
Patent Agency Ranking
公开(公告)号：US20240185485A1
公开(公告)日：2024-06-06
申请号：US18555266
申请日：2022-04-12
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： ANDRE FRANK SALOMON , CHRISTIAN WUELKER , ANDREAS GEORG GOEDICKE , MICHAEL GRASS
IPC: G06T11/00
CPC classification number: G06T11/006 , G06T2211/424 , G06T2211/441
Abstract: A system (CDD) and related method for facilitating an iterative reconstruction operation. In iterative reconstruction, imagery in image domain is reconstructed in plural steps from measured projection data in projection domain. The system and methods use a trained machine learning module (MLM). The system receives input correction data generated in the iterative reconstruction operation. The system predicts, based on the input correction data, output correction data. The output correction data is provided for facilitating correcting a current image, as reconstructed in a given step, into a new image.
-
公开(公告)号：US20230260172A1
公开(公告)日：2023-08-17
申请号：US18015739
申请日：2021-07-05
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： THOMAS KOEHLER , BERNHARD JOHANNES BRENDEL , CHRISTIAN WUELKER
IPC: G06T11/00
CPC classification number: G06T11/006
Abstract: An image processing system (IPS) and related method for supporting tomographic imaging. The system comprises an input interface (IN) for receiving, for a given projection direction (pi), a plurality of input projection images at different phase steps acquired by a tomographic X-ray imaging apparatus configured for dark-field and/or phase-contrast imaging. A machine learning component (MLC) processes the said plurality into output projection imagery that includes a dark-field projection image and/or a phase contrast projection image for the said given projection direction.
-
公开(公告)号：US20250069291A1
公开(公告)日：2025-02-27
申请号：US18724000
申请日：2022-12-21
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： CHRISTIAN WUELKER , FRANK BERGNER , THOMAS KOEHLER , MICHAEL GRASS
Abstract: A method is provided for processing images comprising retrieving measured data for a first image. The method then generates partially filtered data by applying a first filter to the measured data. The first filter is a generic filter. The method then reconstructs the partially filtered data to generate a partially filtered image. The method then generates a partially processed image by applying a first processing routine to the partially filtered image. The method then generates a filtered image by applying a second filter to the partially processed image, where the second filter is a filter selected from a plurality of potential secondary filters. The method then outputs the filtered image. Systems are provided for implementing the claimed method and training methods for neural networks used in the method are provided as well.
-
公开(公告)号：US20250057496A1
公开(公告)日：2025-02-20
申请号：US18720008
申请日：2022-12-19
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： ROLAND PROKSA , THOMAS KOEHLER , MICHAEL GRASS , CHRISTIAN WUELKER , SEBASTIAN WILD
Abstract: The present invention relates to a spectral X-ray CT imaging system (10), comprising: a spectral X-ray CT imaging unit (20); a processing unit (30); and an output unit (40). The spectral X-ray CT imaging unit comprises an X-ray tube (22) and a dual layer X-ray detector (24), and wherein a body portion of a subject to be examiner can be located between the X-ray tube and the dual layer X-ray detector. The spectral X-ray CT imaging unit is configured to acquire an overall scan of the body portion comprising a plurality of acquisitions at different projections angles. The processing unit is configured to utilize information on the body portion for each projection of the different projections angles. The processing unit is configured to determine a voltage for the X-ray tube for each acquisition of the plurality of acquisitions, wherein the determination for each acquisition comprises utilization of the corresponding information on the body portion for the projection associated with that acquisition. The processing unit is configured to control the spectral X-ray CT imaging unit to carry out an implemented overall scan of the body portion, wherein the control comprises controlling the X-ray tube to operate at the determined X-ray tube voltage for each acquisition of the plurality of acquisitions at the different projections angles. The processing unit is configured to receive data from the dual layer X-ray detector for each acquisition of the implemented overall scan. The processing unit is configured to implement a machine learning algorithm to determine material decomposition imagery of the body portion, wherein the determination comprises utilization of the data from the dual layer X-ray detector for each acquisition of the implemented overall scan and the determined X-ray tube voltage for each acquisition of the implemented overall scan. The output unit is configured to output the material decomposition imagery of the body portion.
-
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
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.
-
-
-
-
-
-
-
-
-
Search Results
12
records
(took 0.014 seconds)
