公开(公告)号：US20250067827A1

公开(公告)日：2025-02-27

申请号：US18940801

申请日：2024-11-07

Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.

Inventor： Qian LIU ,  Bo LI ,  Rongxing ZHANG ,  Yuanding BAO ,  Aolin LIU ,  Jianxing WU ,  Fuyi FANG

IPC: G01R33/56 ,  G01R33/565 ,  G06T11/00

Abstract: Systems and methods for interference signal collection and processing are provided. The systems may obtain initial signals and first interference signals collected in at least one first time window during an MR scan of a target subject. The nuclei in the target subject may be in an excited state in the at least one first time window. The initial signals may be collected by a receiving coil of an MRI device, and the first interference signals may be collected by an interference signal acquisition device. The systems may also determine second interference signals collected by the receiving coil in the at least one first time window based on the first interference signals. The systems may further determine imaging signals collected by the receiving coil in the at least one first time window by correcting the initial signals based on the second interference signals.

公开(公告)号：US20250065153A1

公开(公告)日：2025-02-27

申请号：US18629415

申请日：2024-04-08

Applicant: Memorial Sloan Kettering Cancer Center

Inventor： Jose Ricardo Otazo TORRES ,  Li FENG

IPC: A61N5/10 ,  G01R33/48 ,  G01R33/56 ,  G06T7/246 ,  G06V20/64 ,  G06V40/20

Abstract: Described is an approach for tracking 3D organ motion in real-time using magnetic resonance imaging (MRI). The approach may include offline learning, which may acquire signature and 3D imaging data over multiple respiratory cycles to create a database of high-resolution 3D motion states. The approach may further include online matching, which may acquire signature data only in real-time (latency less than 0.2 seconds). From a motion state and motion signature database, the 3D motion state whose signature best (or sufficiently) matches the newly-acquired signature data may be selected. Real-time 3D motion tracking may be accomplished by performing time-consuming acquisition and reconstruction work in an offline learning phase, leaving just signature acquisition and correlation analysis in an online matching step, minimizing or otherwise reducing latency. The approach may be used to adapt radiotherapy procedures based on tumor motion using a magnetic resonance linear accelerator (MR-Linac) system.

公开(公告)号：US20250064334A1

公开(公告)日：2025-02-27

申请号：US18930243

申请日：2024-10-29

Applicant: ARTERYS INC.

Inventor： Kyle Dormer ,  Hussein Patni ,  Darryl Bidulock ,  John Axerio-Cilies ,  Torin Arni Taerum

IPC: A61B5/026 ,  A61B5/00 ,  A61B5/02 ,  A61B5/021 ,  A61B5/055 ,  G01R33/56 ,  G01R33/563 ,  G06T7/00 ,  G06T7/269 ,  G16H10/60 ,  G16H30/20 ,  G16H30/40 ,  H04L9/32 ,  H04L9/40

Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.

公开(公告)号：US12222412B2

公开(公告)日：2025-02-11

申请号：US18592973

申请日：2024-03-01

Applicant: Siemens Healthineers AG

Inventor： Thorsten Feiweier ,  Max Müller ,  Adam Kettinger ,  Mario Zeller ,  Gudrun Ruyters

IPC: G01V3/00 ,  G01R33/54 ,  G01R33/56 ,  G01R33/563

Abstract: A method for preparing magnetic resonance imaging of an object under examination is described. A plurality of representative pulse sequence segments are generated, each of which is associated with a reference gradient amplitude of the gradient pulse having the highest stimulation potential of the representative pulse sequence segment, and the stimulation potential of which is representative of a group of partially different pulse sequences. For each of the representative pulse sequence segments, a maximum gradient slew rate is determined for which a permitted maximum value of the stimulation potential is not exceeded. One of the representative pulse sequence segments is determined and selected, for a measurement protocol to be planned for a magnetic resonance imaging to be performed, according to the gradient amplitude of the gradient pulse having the highest stimulation potential of a pulse sequence segment of the pulse sequence on which the measurement protocol is based. The pulse sequence segment of the pulse sequence on which the measurement protocol is based is adjusted in such a way that a maximum gradient slew rate associated with the selected representative pulse sequence segment is also not exceeded by the pulse sequence segment of the pulse sequence on which the measurement protocol is based.

公开(公告)号：US20250044390A1

公开(公告)日：2025-02-06

申请号：US18364498

申请日：2023-08-03

Applicant: Siemens Healthineers AG

Inventor： Mahmoud Mostapha ,  Dorin Comaniciu ,  Mariappan S. Nadar

IPC: G01R33/56 ,  A61B5/055

Abstract: Systems and methods for AI-powered histological fingerprinting in magnetic resonance imaging. MR signal data of an object is acquired using a high sensitivity scanner. Ground truth tissue microstructure data is acquired for the object. A forward model is learned using machine learning. The forward model is used to generate a dictionary or to train a model to map the signals to the histological parameters including the tissue microstructure of a scanner object. A signal-to-signal translation model is also provided to provide signals with improved sensitivity.

公开(公告)号：US20250041534A1

公开(公告)日：2025-02-06

申请号：US18719850

申请日：2021-12-17

Applicant: SHANGHAI DROIDSURG MEDICAL CO., LTD

Inventor： Shaobai WANG ,  Wener LV

IPC: A61M5/42 ,  A61M5/00 ,  G01R33/48 ,  G01R33/56

Abstract: Puncture positioning system includes planning module, ultrasound module, workstation module, display module, adjustment module and execution module. Puncture positioning system determines operation region and non-operation region by means of MRI image, acquires real-time ultrasound image by means of ultrasound module, and displays reconstructed image information and ultrasound image information of object in real time by means of display module, such that image information can be observed clearly and accurately, and position of operation region can be accurately determined; puncture positioning system establishes operation path by means of workstation module, such that operation path can be more accurate; puncture positioning system then controls, by means of workstation module, adjustment module to start adjusting position of execution module, such that adjustment precision is higher; and finally, puncture positioning system controls, by means of workstation module, execution module to perform corresponding operation, such that travel distance of execution module can be precisely controlled.

公开(公告)号：US20250028014A1

公开(公告)日：2025-01-23

申请号：US18429846

申请日：2024-02-01

Applicant: Promaxo, Inc.

Inventor： Ram NARAYANAN ,  Aleksandar NACEV ,  Pulkit MALIK ,  Muller Francis DE MATOS GOMES

IPC: G01R33/56 ,  G01R33/385

Abstract: Some embodiments of the present disclosure disclose systems and methods for robust magnetic resonance image reconstruction that can model for all or nearly all components in the magnetic resonance imaging system, that possess compressibility features to speed up reconstructions, and that can be optimized such that the reconstruction can be performed within a short period of time.

公开(公告)号：US12205711B2

公开(公告)日：2025-01-21

申请号：US17261771

申请日：2019-07-17

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Thomas Erik Amthor ,  Jörn Borgert ,  Joachim Schmidt ,  Eberhard Sebastian Hansis ,  Thomas Netsch ,  Michael Günter Helle

IPC: G16H40/20 ,  G01R33/56 ,  G01T1/161 ,  G06N20/00 ,  G10L25/78 ,  G16H10/60 ,  G16H30/20 ,  G16H40/67 ,  G16H50/70 ,  G16H70/20

Abstract: When acquiring detailed utilization information from imaging equipment in a cross-vendor approach, one or more sensors (16, 18, 22, 24) are positioned within a data security zone (14) in which an imaging procedure is performed. Sensor data is pre-processed on an isolated processing unit (20) to remove any sensitive information and keep a selection of features only. The resultant feature pattern is transmitted outside of the data security zone to a processing unit (28) where pattern recognition is performed on feature pattern to identify the type of imaging modality, scan, etc. being performed as well as to determine whether the scan is being performed according to schedule.

公开(公告)号：US20250012880A1

公开(公告)日：2025-01-09

申请号：US18763153

申请日：2024-07-03

Applicant: Siemens Healthineers AG

Inventor： Marcel Dominik Nickel

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

Abstract: A method and device for generating MRI data with increased resolution is described. In the method, k-space data is sampled with a non-rectangular sampling pattern. A non-rectangular sampling region of a Cartesian k-space is sampled and a complementary region (KB) of the Cartesian k-space is not sampled. First MR image data is reconstructed based on the sampled k-space data. Second MR image data with an increased resolution compared to a resolution of the reconstructed first MR image data is generated by applying a supplementing method adapted to supplement the reconstructed first MR image data with image information which, transformed into the Fourier domain of the reconstructed first MR image data, is associated with the complementary region determined from the k-space-sampling.

公开(公告)号：US12189011B2

公开(公告)日：2025-01-07

申请号：US17778899

申请日：2020-11-20

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Elwin De Weerdt ,  Nicola Pezzotti

IPC: G06V10/00 ,  G01R33/48 ,  G01R33/483 ,  G01R33/56 ,  G06N3/08

Abstract: The present disclosure relates to a method comprising: providing a trained machine learning model. The trained machine learning model is configured for reconstructing images from input data. The method comprises: receiving (201) a multidimensional array comprising M dimensional acquired data; determining (205) a subset of values of at least one K selected dimension of the array; for each value of the subset determining (207) a M−K dimensional array comprising the acquired data corresponding to the value, resulting in a set of M−1 dimensional arrays; inputting (209) the set of M−K dimensional arrays to the trained machine learning model, and receive a reconstructed image from the trained machine learning model.