公开(公告)号：US20240290013A1

公开(公告)日：2024-08-29

申请号：US18232293

申请日：2023-08-09

Applicant: NATIONAL YANG MING CHIAO TUNG UNIVERSITY

Inventor： Shin Tai CHONG ,  Chih-Chin HSU ,  Yi-Chia KUNG ,  Kuan-Tsen KUO ,  Chu-Chung HUANG ,  Ching-Po LIN

IPC: G06T11/00 ,  G06T5/00 ,  G06T7/00 ,  G06T7/30

CPC classification number: G06T11/005 ,  G06T5/70 ,  G06T7/0012 ,  G06T7/30 ,  G06T11/008 ,  G06T2207/10092 ,  G06T2207/20212 ,  G06T2207/30016 ,  G06T2207/30168

Abstract: A system of generating data from diffusion-weighted images for pre-processing and a method thereof are disclosed. In the system, a processing parameter set including diffusion information is acquired; after a raw diffusion-weighted image including data images and image information is acquired, the image information is interpreted to set image processing data of the raw diffusion-weighted image, and non-deformation correction and deformation correction are performed on the raw diffusion-weighted image to generate a pre-processed diffusion-weighted image based on the processing parameter set and the image processing data. Therefore, the image processing data can be automatically set based on the raw diffusion-weighted image, to achieve the effect of lowering difficulty for analyzing DWI and saving setup time of image processing data.

公开(公告)号：US20240268701A1

公开(公告)日：2024-08-15

申请号：US18642740

申请日：2024-04-22

Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.

Inventor： Jingyuan LYU ,  Qi LIU ,  Zhongqi ZHANG ,  Jian XU

IPC: A61B5/055 ,  A61B6/00 ,  A61B6/03 ,  G01R33/24 ,  G01R33/46 ,  G01R33/48 ,  G01R33/483 ,  G01R33/561 ,  G01R33/563 ,  G01R33/565 ,  G06T3/16 ,  G06T7/00 ,  G06T7/215 ,  G06T7/262 ,  G06T7/269 ,  G06T9/00 ,  G06T11/00

CPC classification number: A61B5/055 ,  G01R33/4616 ,  G01R33/4818 ,  G01R33/561 ,  G01R33/56316 ,  G01R33/56563 ,  G01R33/5659 ,  G06T7/0016 ,  G06T9/008 ,  G06T11/003 ,  G06T11/005 ,  G06T11/008 ,  A61B6/032 ,  A61B6/5205 ,  G01R33/243 ,  G01R33/4833 ,  G01R33/5611 ,  G01R33/5617 ,  G01R33/5618 ,  G01R33/5619 ,  G01R33/56341 ,  G06T3/16 ,  G06T7/0012 ,  G06T7/215 ,  G06T7/262 ,  G06T7/269 ,  G06T2207/10072 ,  G06T2207/10084 ,  G06T2207/10088 ,  G06T2207/10092 ,  G06T2207/10096 ,  G06T2207/10104 ,  G06T2207/10108 ,  G06T2207/10132 ,  G06T2207/10136 ,  G06T2207/20182 ,  G06T2207/30004 ,  G06T2207/30048 ,  G06T2210/41 ,  G06T2210/52 ,  G06T2211/40 ,  G06T2211/416

Abstract: An imaging method may include obtaining imaging data associated with a region of interest (ROI) of an object. The imaging data may correspond to a plurality of time-series images of the ROI. The imaging method may also include determining, based on the imaging data, a data set including a spatial basis and one or more temporal bases. The spatial basis may include spatial information of the imaging data. The one or more temporal bases may include temporal information of the imaging data. The imaging method may also include storing, in a storage medium, the spatial basis and the one or more temporal bases.

公开(公告)号：US11967085B2

公开(公告)日：2024-04-23

申请号：US17173764

申请日：2021-02-11

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Murray Cutforth ,  Ewan Hemingway

IPC: G06T7/20 ,  A61B5/00 ,  A61B5/055 ,  A61B8/06 ,  A61B8/08 ,  G06T7/00 ,  G06T7/13 ,  G06T7/143

CPC classification number: G06T7/20 ,  A61B5/055 ,  A61B5/7267 ,  A61B8/06 ,  A61B8/0891 ,  A61B8/488 ,  G06T7/0012 ,  G06T7/13 ,  G06T7/143 ,  G06T2207/10092 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30104

Abstract: A medical image processing apparatus including processing circuitry configured to: obtain from medical imaging measurements, observations of one or more vector or tensor valued fields as projected from one or more 2D acquisition planes; use an optimisation procedure to determine from the observations a superset of 3D fields (which may be scalar, vector, or tensor) via a solution ansatz constrained by a system of partial differential equations, and output the plurality of these fields.

公开(公告)号：US11967070B2

公开(公告)日：2024-04-23

申请号：US17611394

申请日：2020-05-13

Applicant: THE GENERAL HOSPITAL CORPORATION

Inventor： Hakan Ay ,  Jayashree Kalpathy-Cramer

IPC: G06T7/00 ,  A61B5/00 ,  A61B5/055 ,  G01R33/56 ,  G01R33/563 ,  G06T7/11 ,  G16H30/20

CPC classification number: G06T7/0012 ,  A61B5/0042 ,  A61B5/055 ,  A61B5/7267 ,  A61B5/7275 ,  A61B5/742 ,  G01R33/5608 ,  G01R33/56341 ,  G06T7/11 ,  G16H30/20 ,  A61B2576/026 ,  G06T2200/04 ,  G06T2207/10092 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30016 ,  G06T2207/30096

Abstract: An image analysis system including at least one processor and at least one memory is provided. The image analysis system is configured to receive image data associated with a brain of a patient, the image data including a first three-dimensional (3D) diffusion weighted imaging (DWI) image acquired using a magnetic resonance imaging (MRI) system and a second 3D DWI image, concurrently provide the first 3D DWI image to a first channel of a trained model and the second 3D DWI image to a second channel of the trained model, receive an indicator associated with the first 3D DWI image and the second 3D DWI image from the model, generate a report based on the indicator, and cause the report to be output to at least one of a memory or a display.

公开(公告)号：US20240023878A1

公开(公告)日：2024-01-25

申请号：US18225312

申请日：2023-07-24

Applicant: AcroViz USA Inc. ,  Taipei Medical University

Inventor： Wen-Yih Tseng ,  Yung-Chin Hsu ,  Lung Chan ,  Chien-Tai Hong ,  Yueh-Hsun Lu ,  Jia-Hung Chen ,  Li-Kai Huang

IPC: A61B5/00 ,  G06T7/00 ,  A61B5/055

CPC classification number: A61B5/4088 ,  A61B5/7275 ,  G06T2207/10092 ,  A61B5/055 ,  G06T2207/30016 ,  G06T7/0012

Abstract: A method of predicting therapeutic effects of a treatment for cognitive impairment for an individual using the individual's predicted age difference (PAD), the method comprising scanning the individual's brain with a scanning device so as to acquire at least one medical brain image at the beginning of the treatment; processing the medical brain image to obtain at least one feature of the image; generating a PAD value of the individual based on the at least one feature of the image; comparing the PAD value with a reference value; and predicting the therapeutic effects of the treatment for cognitive impairment using the comparison result of the PAD value and the reference value.

公开(公告)号：US11782113B2

公开(公告)日：2023-10-10

申请号：US17739430

申请日：2022-05-09

Applicant: Mint Labs Inc.

Inventor： Vesna Prchkovska ,  Paulo Reis Rodrigues ,  Matthew Rowe

IPC: G06K9/00 ,  G01R33/563 ,  G06T7/143 ,  G06T7/11 ,  G16H30/40 ,  A61B5/00 ,  A61B5/055 ,  G01R33/56 ,  G06T7/00 ,  G16H40/63

CPC classification number: G01R33/56341 ,  A61B5/0013 ,  A61B5/0022 ,  A61B5/0042 ,  A61B5/055 ,  G01R33/5608 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/143 ,  G16H30/40 ,  A61B2576/026 ,  G06T2207/10092 ,  G06T2207/30016 ,  G16H40/63

Abstract: The present solution can segment tracts by performing two-pass tractography. The system can first perform deterministic tractography and then probabilistic tractography. The system can use the result from the deterministic tractography to update and refine initial identified regions of interest. The refined regions of interest can be used to filter and select streamlines identified through the probabilistic tractography.

公开(公告)号：US11751798B2

公开(公告)日：2023-09-12

申请号：US17992005

申请日：2022-11-22

Applicant: AcroViz USA Inc.

Inventor： Wen-Yih Tseng ,  Yung-Chin Hsu

IPC: A61B5/00 ,  G06T7/00 ,  A61B5/055

CPC classification number: A61B5/4088 ,  A61B5/055 ,  A61B5/7275 ,  G06T7/0012 ,  G06T2207/10092 ,  G06T2207/30016

Abstract: A method of quantitatively evaluating a cognitive status and its future change from a medical image of an individual's brain, the method comprising scanning the individual's brain with a scanning device so as to acquire at least one medical brain image; processing the medical brain image to obtain at least one feature of the image; using a pre-established prediction model to determine a condition of the cognitive status and predict its future change based on the at least one feature obtained.

公开(公告)号：US11747423B2

公开(公告)日：2023-09-05

申请号：US17594685

申请日：2020-04-24

Applicant: Random Walk Imaging AB

Inventor： Irvin Teh ,  Samo Lasic ,  Markus Nilsson ,  Filip Szczepankiewicz

IPC: G01R33/563 ,  A61B5/055 ,  G01R33/565

CPC classification number: G01R33/56341 ,  A61B5/055 ,  G01R33/56509 ,  G06T2207/10092

Abstract: Inventive technology is directed to diffusion weighted magnetic resonance measurements. In an embodiment, a method for performing a diffusion weighted magnetic resonance measurement on a sample includes operating a magnetic resonance scanner to apply a diffusion encoding sequence to the sample. The method also includes operating the magnetic resonance scanner to acquire from the sample one or more echo signals. The diffusion encoding sequence includes a diffusion encoding time-dependent magnetic field gradient g(t) with non-zero components gl(t) along at least two orthogonal directions y and z, and a b-tensor having at least two non-zero eigenvalues, the magnetic field gradient comprising a first and subsequent second encoding block.

公开(公告)号：US20180263548A1

公开(公告)日：2018-09-20

申请号：US15923919

申请日：2018-03-16

Applicant: Chang Gung University ,  Chang Gung Memorial Hospital, Linkou ,  Chang Gung Medical Foundation Chang Gung Memorial Hospital at Keelung

Inventor： Jiun-Jie Wang ,  Yi-Hsin Weng ,  Shu-Hang Ng ,  Jur-Shan Cheng ,  Yi-Ming Wu ,  Yao-Liang Chen ,  Wey-Yil Lin ,  Chin-Song Lu ,  Wen-Chuin Hsu ,  Chia-Ling Chen ,  Yi-Chun Chen ,  Sung-Han Lin ,  Chih-Chien Tsai

IPC: A61B5/00 ,  A61B5/055 ,  G06T7/00

CPC classification number: A61B5/4064 ,  A61B5/0042 ,  A61B5/055 ,  A61B5/4082 ,  A61B5/4088 ,  A61B5/7264 ,  G06T7/0012 ,  G06T2207/10088 ,  G06T2207/10092 ,  G06T2207/20081 ,  G06T2207/30016

Abstract: A method is to be implemented by a computing device and includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image, brain image regions each of which contains a respective portion of diffusion index values of at least one diffusion index, which results from image processing performed on said at least one MRI image; b) for each of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) diagnosing the brain examined with one of predetermined categories of the neurological disorder by performing classification on a combination of the characteristic parameters via a classifier.

公开(公告)号：US09965862B2

公开(公告)日：2018-05-08

申请号：US14462215

申请日：2014-08-18

Applicant: NEW YORK UNIVERSITY

Inventor： Jens Jensen ,  Joseph Helpern ,  Ali Tabesh ,  Els Fieremans

IPC: G06K9/00 ,  G06T7/00 ,  A61B5/00 ,  G01R33/56 ,  G01R33/563 ,  G06T7/11

CPC classification number: G06T7/11 ,  A61B5/4088 ,  A61B2576/026 ,  G01R33/5608 ,  G01R33/56341 ,  G06T7/0012 ,  G06T2207/10088 ,  G06T2207/10092 ,  G06T2207/30016

Abstract: Exemplary method, system, and computer-accessible medium can be provided for determining a measure of diffusional kurtosis by receiving data relating to at least one diffusion weighted image, and determining a measure of a diffusional kurtosis as a function of the received data using a closed form solution procedure. In accordance with certain exemplary embodiments of the present disclosure, provided herein are computer-accessible medium, systems and methods for, e.g., imaging in an MRI system, and, more particularly for facilitating estimation of tensors and tensor-derived measures in diffusional kurtosis imaging (DKI). For example, DKI can facilitate a characterization of non-Gaussian diffusion of water molecules in biological tissues. The diffusion and kurtosis tensors parameterizing the DKI model can typically be estimated via unconstrained least squares (LS) methods. In the presence of noise, motion, and imaging artifacts, these methods can be prone to producing physically and/or biologically implausible tensor estimates. The exemplary embodiments of the present disclosure can address at least this deficiency by formulating an exemplary estimation problem, e.g., as linearly constrained linear LS, where the constraints can ensure acceptable tensor estimates.