公开(公告)号：US20140055135A1

公开(公告)日：2014-02-27

申请号：US13972057

申请日：2013-08-21

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Tim NIELSEN ,  Peter BOERNERT ,  Julien SENEGAS

IPC: G01R33/58

CPC classification number: G01R33/58 ,  G01R33/4835 ,  G01R33/56509

Abstract: A magnetic resonance imaging (MRI) system including a memory for storing machine executable instructions and a processor for controlling the magnetic resonance imaging system. The MRI system for performing a plurality of MRI scans for acquiring magnetic resonance data from a target volume of a patient in accordance with respective predefined scan geometries. The execution of the machine executable instructions causes the processor to control the MRI system to at least: perform a first calibration scan; perform a second calibration scan; generate geometry transformation data; determine a deviation of the target volume caused by a movement of the patient; update each of the predefined scan geometries and the second scan geometry as a function of the geometry transformation data; and perform at least one MRI scan of the plurality of MRI scans to acquire image data in accordance with the respective updated predefined scan geometry.

Abstract translation: 一种磁共振成像（MRI）系统，包括用于存储机器可执行指令的存储器和用于控制磁共振成像系统的处理器。 MRI系统，用于执行多个MRI扫描，以根据相应的预定扫描几何形式从患者的目标体积获取磁共振数据。 机器可执行指令的执行使处理器至少控制MRI系统：执行第一校准扫描; 执行第二次校准扫描; 生成几何变换数据; 确定由患者的运动引起的目标体积的偏差; 作为几何变换数据的函数更新每个预定义的扫描几何和第二扫描几何; 并且执行所述多个MRI扫描中的至少一次MRI扫描以根据相应的更新的预定义扫描几何获取图像数据。

公开(公告)号：US20160071293A1

公开(公告)日：2016-03-10

申请号：US14890179

申请日：2014-05-14

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Hanno Heyke HOMANN ,  Klaus ERHARD ,  Tim NIELSEN

IPC: G06T11/00 ,  A61B6/00 ,  A61B6/02 ,  G06T7/00 ,  G06T15/08

CPC classification number: G06T11/008 ,  A61B6/025 ,  A61B6/4085 ,  A61B6/461 ,  A61B6/54 ,  G06T7/0012 ,  G06T15/08 ,  G06T2200/04 ,  G06T2207/10072 ,  G06T2207/10116 ,  G06T2207/30004 ,  G06T2210/41 ,  G06T2211/421 ,  G06T2211/436

Abstract: A method for processing image data of an X-ray device (10) comprises the steps of: receiving a plurality of two-dimensional projection images (32) from an object of interest (22), wherein the projection images have been acquired by transmitting X-rays (20) through the object of interest (20) with respect to different view angles; generating a three- dimensional raw image volume (36) from the plurality of two-dimensional projection images (32) with respect to a coordinate grid (50) adapted to the geometry of the transmitted X-rays (20); and generating a deconvolved three-dimensional image (40) by applying a two- dimensional deconvolution to slices (52) of the three-dimensional raw image volume (36), which slices (32) are adapted to the coordinate grid (50).

Abstract translation: 一种用于处理X射线装置（10）的图像数据的方法包括以下步骤：从感兴趣对象（22）接收多个二维投影图像（32），其中投影图像已经通过发送 相对于不同的视角通过感兴趣对象（20）的X射线（20）; 从所述多个二维投影图像（32）相对于适于所述透射X射线（20）的几何形状的坐标网格（50）生成三维原始图像体积（36）; 以及通过对所述三维原始图像体积（36）的切片（52）应用二维反卷积来生成去卷积的三维图像（40），所述切片（32）适合于所述坐标网格（50）。

公开(公告)号：US20250157007A1

公开(公告)日：2025-05-15

申请号：US18845036

申请日：2023-02-02

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Nils Thorben GESSERT ,  Christian WUELKER ,  Tim NIELSEN

IPC: G06T5/60 ,  G06T3/4046 ,  G06T3/4053 ,  G06T5/70

Abstract: Disclosed herein is a medical system (100, 300) comprising a memory (110) storing machine executable instructions (116) and a super resolution neural network (118). The super resolution neural network is configured to receive an initial magnetic resonance image (114, 114′) descriptive of a subject (318), having a first resolution, and containing an image distortion artifact. The image distortion artifact is a Gibbs ringing image artifact. The super resolution neural network is configured to output an enhanced magnetic resonance image in response to receiving the initial magnetic resonance image. The enhanced magnetic resonance image has a second resolution, that is higher than the first resolution, and has a reduction or removal of the image distortion artifact. Execution of the machine executable instructions causes a computational system (104) to: receive (200) the initial magnetic resonance image and receive (204) the enhanced magnetic resonance image in response to inputting the initial magnetic resonance image in to the super resolution neural network.

公开(公告)号：US20210003653A1

公开(公告)日：2021-01-07

申请号：US16982724

申请日：2019-03-21

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Jan Hendrik WULBERN ,  Tim NIELSEN

IPC: G01R33/567 ,  G01R33/48 ,  G01R33/56 ,  G01R33/565 ,  G06T7/20 ,  G06T11/00

Abstract: The invention provides for a medical imaging system (100, 300) comprising: a memory (110) for storing machine executable instructions (120) and a processor (104) for controlling the medical imaging system. Execution of the machine executable instructions causes the processor to: receive (200) magnetic resonance imaging data (122) descriptive of a subject (318), wherein the magnetic resonance imaging data is segmented into sequential data portions (124), wherein the magnetic resonance imaging data was acquired according to a three-dimensional magnetic resonance imaging protocol, wherein the magnetic resonance data within each of the sequential data portions is sampled in-plane using a rotating k-space sampling profile, wherein the magnetic resonance data within each of the sequential data portions is sampled using a segmented phase encoding in a thru-plane direction; and reconstruct (202) a navigator image (128) for each of the sequential data portions according to the three-dimensional magnetic resonance imaging protocol.

公开(公告)号：US20200293690A1

公开(公告)日：2020-09-17

申请号：US16814249

申请日：2020-03-10

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Arne EWALD ,  Tim NIELSEN ,  Karsten SOMMER ,  Irina WAECHTER-STEHLE ,  Christophe Michael Jean SCHÜLKE ,  Frank Michael WEBER ,  Rolf Jürgen WEESE ,  Jochen PETERS

IPC: G06F21/62 ,  G16H10/60 ,  G16H30/20 ,  G06N20/00

Abstract: A system (100) and computer-implemented method are provided for data collection for distributed machine learning of a machine learnable model. A privacy policy data (050) is provided defining computer-readable criteria for limiting a selection of medical image data (030) to a subset of the medical image data to obfuscate an identity of the at least one patient. The medical image data is selected based on the computer-readable criteria to obtain privacy policy-compliant training data (060) for transmission to another entity. The system and method enable medical data collection at clinical sites without requiring manual oversight, and enables such selections to be made automatically, e.g., based on a request for medical image data which may be received from outside of the clinical site.

公开(公告)号：US20190242965A1

公开(公告)日：2019-08-08

申请号：US16317592

申请日：2017-07-14

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Tim NIELSEN ,  Peter BOERNERT

IPC: G01R33/565 ,  G01R33/56 ,  G01R33/561 ,  G01R33/48

Abstract: The invention provides for a magnetic resonance imaging system (100) comprising: a memory (150) for storing machine executable instructions (160) and for storing pulse sequence commands (162) to acquire the measured magnetic resonance data according to a compressed sensing magnetic resonance imaging protocol; and a processor (144) for controlling the magnetic resonance imaging system. Execution of the machine executable instructions cause the processor to: control (200) the magnetic resonance imaging system with the pulse sequence commands to acquire the measured magnetic resonance data, wherein the measured magnetic resonance data is acquired as measured data portions (164), wherein each of the measured data portions is acquired during a time period; reconstruct (202) an intermediate magnetic resonance image (168) using the measured magnetic resonance data according to the compressed sensing magnetic resonance imaging protocol; calculate (204) a predicted data portion (170) for each of the measured data portions using the intermediate magnetic resonance image; calculate (206) a residual (172) for each of the measured data portions using the predicted data portion; identify (208) one or more of the measured data portions as outlier data portions (176) if the residual is above a predetermined threshold; and reconstruct (210) a corrected magnetic resonance image (178) using the measured magnetic resonance data according to the compressed sensing magnetic resonance imaging protocol, and wherein the one or more outlier data portions are excluded from the reconstruction of the corrected magnetic resonance image.