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公开(公告)号：US11348229B2
公开(公告)日：2022-05-31
申请号：US16644037
申请日：2018-09-04
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Rafael Wiemker , Axel Saalbach , Jens Von Berg , Tom Brosch , Tim Philipp Harder , Fabian Wenzel , Christopher Stephen Hall
Abstract: There is provided a computer-implemented method and system (100) for determining regions of hyperdense lung parenchyma in an image of a lung. The system (100) comprises a memory (106) comprising instruction data representing a set of instructions and a processor (102) configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor (102), cause the processor (102) to locate a vessel in the image, determine a density of lung parenchyma in a region of the image that neighbours the located vessel, and determine whether the region of the image comprises hyperdense lung parenchyma based on the determined density, hyperdense lung parenchyma having a density greater than −800 HU.
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2.发明申请公开(公告)号：US20210156940A1
公开(公告)日：2021-05-27
申请号：US17047749
申请日：2019-04-17
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Karsten Sommer , Axel Saalbach , Michael Gunter Helle , Steffen Weiss , Christophe Michael Jean Schulke
IPC: G01R33/54 , G01R33/56 , G01R33/565 , A61B5/055
Abstract: The invention provides for a magnetic resonance imaging system (100, 300). The execution of machine executable instructions causes a processor (130) controlling the magnetic resonance imaging system to control (200) the magnetic resonance imaging system to acquire the magnetic resonance imaging data (144) using pulse sequence commands (142) and reconstruct (202) a magnetic resonance image (148). Execution of the machine executable instructions causes the processor to receive (204) a list of suggested pulse sequence command changes (152) by inputting the magnetic resonance image and image metadata (150) into an MRI artifact detection module (146, 146′, 146″). The MRI artifact detection module comprises at least one neural network, which has been trained using images from failed magnetic resonance imaging protocols and/or magnetic resonance data extracted from the magnetic resonance imaging protocols labeled as failed accessed from a log file (312) which logs the execution of previous magnetic resonance imaging protocols. Execution of the machine executable instructions further causes the processor to receive (206) a selection of a chosen pulse sequence command change (158) from the list of suggested pulse sequence command changes. Execution of the machine executable instructions further causes the processor to modify (208) the pulse sequence commands using the chosen pulse sequence command change.
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公开(公告)号：US09858667B2
公开(公告)日：2018-01-02
申请号：US14600030
申请日：2015-01-20
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Julien Senegas , Axel Saalbach , Martin Bergtholdt , Thomas Netsch , Peter Mazurkewitz
CPC classification number: G06T7/0014 , G06K9/6269 , G06T7/74 , G06T2207/10081 , G06T2207/10104
Abstract: A method includes displaying an iconic image of the human body and a list of predetermined anatomical regions. The method further includes displaying, in response to a user selected anatomical region, a scan box over a sub-portion of the iconic image. The method further includes receiving an input indicative of at least one of a scan box location of interest or a scan box geometry of interest, with respect to the anatomical region, of the first user. The method further includes at least one of re-locating or changing a geometry of the first initial scan box, in response thereto, creating a first user defined scan box for the first user. The method further includes creating a first transformation between a first template image representative of the selected anatomical region and the iconic image with the first user defined scan box for the first user, and storing the first transformation.
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公开(公告)号：US11633123B2
公开(公告)日：2023-04-25
申请号：US16759755
申请日：2018-10-26
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Axel Saalbach , Steffen Weiss , Karsten Sommer , Christophe Schuelke , Michael Helle
Abstract: A magnetic resonance imaging system including a memory configured to store machine executable instructions, pulse sequence commands, and a first machine learning model including a first deep learning network. The pulse sequence commands are configured for controlling the magnetic resonance imaging system to acquire a set of magnetic resonance imaging data. The first machine learning model includes a first input and a first output, a processor, wherein execution of the machine executable instructions causes the processor to control the magnetic resonance imaging system to repeatedly perform an acquisition and analysis process including: acquiring a dataset including a subset of the set of magnetic resonance imaging data from an imaging zone of the magnetic resonance imaging system according to the pulse sequence commands, providing the dataset to the first input of the first machine learning model, in response to the providing, receiving a prediction of a motion artifact level of the acquired magnetic resonance imaging data from the first output of the first machine learning model, the motion artifact level characterizing a number and/or extent of motion artifacts present in the acquired magnetic resonance imaging data.
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5.发明授权公开(公告)号：US10417765B2
公开(公告)日：2019-09-17
申请号：US15542777
申请日：2016-01-06
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Axel Saalbach , Pieter Gerben Eshuis , Wilhelmus Henrica Gerarda Maria Van Den Boomen , Dirk Schäfer , Juergen Weese
Abstract: The present invention relates to a system (1) for adaptive segmentation. The system (1) comprises a configurator (10), which is configured to determine an adapted angular range (AR) with respect to an operation mode of the system (1) and which is configured to determine a segmentation parameter (SP) based on the adapted angular range (AR). Further, the system comprises an imaging sensor (20), which is configured to acquire images (I1, . . . , IN) within the adapted angular range (AR). Still further, the system comprises a segmentator (30), which is configured to generate a segmentation model based on the acquired images (I1, . . . , IN) using the determined segmentation parameter (SP).
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Patent Agency Ranking
公开(公告)号：US20190043611A1
公开(公告)日：2019-02-07
申请号：US16050257
申请日：2018-07-31
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Axel Saalbach , Tom Brosch , Daniel Bystrov , Nagaraju Bussa , Dinesh Mysore Siddu
Abstract: There is provided an apparatus (104) for storing medical imaging data. The apparatus comprises a processor configured to acquire a medical imaging study relating to a subject; identify elements in the medical imaging study that are indicative of the identity of the subject; anonymize the medical imaging study by removing the identified elements from the medical imaging study; deliver the anonymized medical imaging study for storage at a first location; and deliver data relating to the identified elements for storage at a second location. An apparatus for retrieving medical imaging data from storage, associated methods and a computer program product are also disclosed.
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公开(公告)号：US20150110369A1
公开(公告)日：2015-04-23
申请号：US14371305
申请日：2012-12-28
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Axel Saalbach , Alexandra Groth , Juergen Weese
IPC: G06T7/00
CPC classification number: G06T7/10 , G06T7/0012 , G06T2207/20112
Abstract: Image processing apparatus 100 comprising an input 110 for obtaining an image 102 and segmentation data 112 configured for use in segmenting a region of interest in a predetermined type of image, the input being arranged for further obtaining a segmentation data descriptor 116 of the segmentation data, the segmentation data descriptor being indicative of the predetermined type of image, and a processor 120 for (i) obtaining, based on the image, an image descriptor indicative of an actual type of the image, (ii) comparing the image descriptor to the segmentation data descriptor, and (iii) establishing, based on said comparing, a suitability indication 122 for using the segmentation data in segmenting the region of interest in the image to avoid the use of the segmentation data when the predetermined type of image insufficiently matches the actual type of the image.
Abstract translation: 图像处理装置100包括用于获得图像102的输入110和被配置为用于分割预定类型图像中的感兴趣区域的分割数据112，该输入被设置用于进一步获得分割数据的分割数据描述符116， 所述分割数据描述符指示所述预定类型的图像;以及处理器120，用于（i）基于所述图像获得指示所述图像的实际类型的图像描述符，（ii）将所述图像描述符与所述分割进行比较 数据描述符，以及（iii）基于所述比较建立适用性指示122，用于在分割图像中的感兴趣区域时使用分割数据，以避免当预定类型的图像与实际的图像不匹配时使用分割数据 图像的类型。
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公开(公告)号：US20210004960A1
公开(公告)日：2021-01-07
申请号：US16977538
申请日：2019-02-25
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Alexandra Groth , Axel Saalbach , Rolf Jürgen Weese
IPC: G06T7/00 , A61B5/00 , G16H30/20 , G16H50/50 , G16H30/40 , G16H15/00 , G06N20/00 , G06T7/70 , G06K9/62 , G06T7/10 , G06T15/20
Abstract: A system and method are provided for display of medical image data, with the display of the medical image data being determined on the basis of schematic image data of a schematic representation of an anatomical structure. The schematic representation may provide a particular view of the anatomical structure. The type of anatomical structure and the view of the anatomical structure provided by the schematic representation may be determined based on one or more image features in the schematic image data. The view may be characterized as a geometrically-defined perspective at which the anatomical structure is shown in the schematic representation. An output image may be generated showing the anatomical structure in the medical image data in accordance with said determined geometrically-defined perspective. A user may thus be provided with a display of medical image data which is easier to interpret having considered said schematic representation.
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公开(公告)号：US10402967B2
公开(公告)日：2019-09-03
申请号：US15378112
申请日：2016-12-14
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Axel Saalbach , Daniel Bystrov , Thomas Buelow , Kongkuo Lu
Abstract: The present invention relates to a device, system and method for quality assessment of medical images. The device comprises an image input configured to obtain a medical image acquired according to an imaging guideline, a database access unit configured to access a database storing reference images for a plurality of imaging guidelines and for obtaining a reference image based on the imaging guideline used for acquisition of the obtained medical image, an analysis unit configured to analyze the obtained medical image in view of the obtained reference image and/or the used imaging guideline to generate quality information representing the quality of the obtained medical image, and a quality output configured to output the generated quality information.
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公开(公告)号：US10002420B2
公开(公告)日：2018-06-19
申请号：US15038834
申请日：2014-11-26
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Alexandra Groth , Jochen Peters , Juergen Weese , Axel Saalbach
CPC classification number: G06T7/0012 , G06T7/12 , G06T7/149 , G06T2207/30048
Abstract: A system (100) is provided for performing a model-based segmentation of an anatomical structure in a medical image. The system comprises a processor (140) configured for performing a model-based segmentation of the anatomical structure by applying a deformable model to image data (042). Moreover, definition data (220) is provided which defines a geometric relation between a first part and a second part of the deformable model of which a corresponding first part of the anatomical structure is presumed to be better visible in the image data than a corresponding second part of the anatomical structure. The definition data is then used to adjust a fit of the second part of the deformable model. As a result, a better fit of the second part of the deformable model to the second part of the anatomical structure is obtained despite said part being relatively poorly visible in the image data.
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