公开(公告)号：US11963752B2

公开(公告)日：2024-04-23

申请号：US16798265

申请日：2020-02-21

申请人： SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.

发明人： Jingyuan Lyu ,  Qi Liu ,  Zhongqi Zhang ,  Jian Xu

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

CPC分类号： 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 ,  G06T3/0087 ,  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

摘要： 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：US20180263707A1

公开(公告)日：2018-09-20

申请号：US15537576

申请日：2015-07-21

申请人： Gal SELA ,  Dorothy LUI ,  Alexander Gyles PANTHER ,  Kelly Noel DYER

发明人： Gal SELA ,  Dorothy LUI ,  Alexander Gyles PANTHER ,  Kelly Noel DYER

IPC分类号： A61B34/20 ,  G06T7/30 ,  A61B90/00 ,  A61B5/00

CPC分类号： A61B34/20 ,  A61B5/0035 ,  A61B5/055 ,  A61B5/064 ,  A61B90/36 ,  A61B2034/2051 ,  A61B2034/2055 ,  A61B2034/2068 ,  A61B2090/363 ,  A61B2576/00 ,  G06F19/00 ,  G06T7/30 ,  G06T7/33 ,  G06T2207/10004 ,  G06T2207/10028 ,  G06T2207/10072 ,  G06T2207/10081 ,  G06T2207/10096 ,  G06T2207/10104 ,  G06T2207/10116 ,  G06T2207/10132 ,  G06T2207/20101

摘要： A medical navigation system is provided for registering a patient for a medical procedure with the medical navigation system using fiducial markers. The fiducial markers are placed on the patient prior to a 3D scan and the fiducial markers each have a target for use with a tracking system. The medical navigation system comprises a 3D scanner, a tracking system, a display, and a controller electrically coupled to the 3D scanner, the tracking system, and the display. The controller has a processor coupled to a memory. The controller is configured to: receive 3D scan data generated by the 3D scanner representative of a 3D scan of at least a portion of the patient, the 3D scan including the fiducial markers visible by the 3D scanner; load from the memory saved medical image data, the saved medical data including preoperative image data saved during a previous scan of at least a portion of the patient; receive position data from the tracking system based on the target for each of the fiducial markers; and perform a transformation mapping to create a single unified virtual coordinate space based on the 3D scan data, the position data, and the medical image data, and updating registration data of the medical navigation system based on the transformation mapping.

公开(公告)号：US10056158B2

公开(公告)日：2018-08-21

申请号：US15819995

申请日：2017-11-21

申请人： Brainlab AG

发明人： Rainer Lachner ,  Rowena Thomson ,  Christina von Freyberg

IPC分类号： G06T7/187 ,  G06T7/11 ,  G16H30/40 ,  G06T7/136 ,  G06T5/00 ,  G06T5/20 ,  G06T7/00 ,  G06T7/60 ,  G06T7/174

CPC分类号： G16H30/40 ,  G06T5/002 ,  G06T5/20 ,  G06T7/001 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/136 ,  G06T7/174 ,  G06T7/187 ,  G06T7/60 ,  G06T2207/10096 ,  G06T2207/20128 ,  G06T2207/20156 ,  G06T2207/20224 ,  G06T2207/30016 ,  G06T2207/30096

摘要： A data processing method for determining an enhancing structure of interest within an anatomical body part, wherein the structure of interest exhibits an enhanced signal in an image of the anatomical body part generated by a medical imaging method using a contrast agent, said method being designed to be performed by a computer and comprising a region growing algorithm.

公开(公告)号：US10055842B2

公开(公告)日：2018-08-21

申请号：US15397266

申请日：2017-01-03

申请人： Case Western Reserve University

发明人： Prateek Prasanna ,  Nathaniel Braman ,  Anant Madabhushi ,  Vinay Varadan ,  Lyndsay Harris ,  Salendra Singh

IPC分类号： G06K9/00 ,  G06T7/00 ,  G06T7/11

CPC分类号： G06T7/0012 ,  A61B5/055 ,  A61B5/4312 ,  G06T7/11 ,  G06T7/44 ,  G06T7/45 ,  G06T2207/10088 ,  G06T2207/10096 ,  G06T2207/30061 ,  G06T2207/30068 ,  G06T2207/30081

摘要： Methods, apparatus, and other embodiments distinguish disease phenotypes and mutational status using co-occurrence of local anisotropic gradient orientations (CoLIAGe) and Laws features. One example apparatus includes a set of circuits that acquires a radiologic image (e.g., MRI image) of a region of tissue demonstrating breast cancer, computes a gradient orientation for a pixel in the MRI image, computes a significant orientation for the pixel based on the gradient orientation, constructs a feature vector that captures a discretized entropy distribution for the image based on the significant orientation, extracts a set of texture features from the MRI image, and classifies the phenotype of the breast cancer based on the feature vector and the set of texture features. Embodiments of example apparatus may generate and display a heatmap of entropy values for the image. Example methods and apparatus may operate substantially in real-time, or may operate in two, three, or more dimensions.

公开(公告)号：US09999361B2

公开(公告)日：2018-06-19

申请号：US14841075

申请日：2015-08-31

申请人： Siemens Healthcare GmbH

发明人： Puneet Sharma ,  Bogdan Georgescu ,  Viorel Mihalef ,  Terrence Chen ,  Dorin Comaniciu

IPC分类号： A61B5/026 ,  G06T7/00 ,  G06F19/00

CPC分类号： A61B5/026 ,  A61B2576/023 ,  G06F19/321 ,  G06F19/3468 ,  G06T7/0016 ,  G06T2207/10081 ,  G06T2207/10096 ,  G06T2207/10116 ,  G06T2207/30048 ,  G06T2207/30104 ,  G16H20/17 ,  G16H30/20 ,  G16H30/40 ,  G16H50/50

摘要： In order to assess coronary artery disease from medical image data, an anatomical model of a coronary artery is generated from the medical image data. A velocity of blood in the coronary artery is estimated based on a spatio-temporal representation of contrast agent propagation in the medical image data. Blood flow is simulated in the anatomical model of the coronary artery using a computational fluid dynamics (CFD) simulation using the estimated velocity of the blood in the coronary artery as a boundary condition.

公开(公告)号：US09953413B2

公开(公告)日：2018-04-24

申请号：US12449310

申请日：2008-02-01

申请人： Qing Yang

发明人： Qing Yang

IPC分类号： G06T7/00 ,  A61B6/00

CPC分类号： G06T7/0012 ,  A61B6/481 ,  A61B6/504 ,  G06T2207/10072 ,  G06T2207/10096 ,  G06T2207/30068

摘要： A method for automated classification of curve patterns associated with dynamic image data of a lesion in a subject in order to determine characteristics of the lesion. The method comprising the steps of loading the image data into an electronic memory means, producing a plot of signal intensity profile, converting the signal intensity profile into a contrast enhancement profile, detecting a reference enhancement profile having a highly positive slope over an initial enhancement period followed by a decreasing profile portion, deriving signature curve types based on the reference enhancement profile, classifying an enhancement curve for each pixel in a selected ROI into one of the derived signature curve types using all available time points and displaying a grid-plot of the classified enhancement curves for all pixels in the selected ROI, wherein the overall display of curves and heterogeneity provides visual indication of the characteristics of the lesion.

公开(公告)号：US20180078232A1

公开(公告)日：2018-03-22

申请号：US15706798

申请日：2017-09-18

申请人： Algotec Systems Ltd.

发明人： Ohad Silbert

IPC分类号： A61B6/00 ,  A61B6/03 ,  A61B5/026 ,  A61B5/00 ,  A61B5/0295 ,  G01R33/56 ,  G01R33/563 ,  G06T7/11 ,  G06T7/00

CPC分类号： A61B6/5258 ,  A61B5/0042 ,  A61B5/0263 ,  A61B5/0295 ,  A61B5/055 ,  A61B5/7203 ,  A61B5/7278 ,  A61B6/032 ,  A61B6/481 ,  A61B6/501 ,  A61B6/507 ,  A61B6/5217 ,  A61B2576/026 ,  G01R33/5601 ,  G01R33/56366 ,  G06T7/0016 ,  G06T7/11 ,  G06T2207/10081 ,  G06T2207/10096 ,  G06T2207/30016 ,  G06T2207/30104

摘要： A method of determining a residue function in brain tissue, from medical images acquired after introducing contrast agent into the blood, correcting for contrast agent leakage into the tissue, comprising: a) providing time signals indicating contrast agent concentration for leaking voxels, a time signal indicating average contrast agent concentration for non-leaking voxels, and an artery input function, all derived from the images; b) fitting the leaking voxel signals to a model time signal with a free parameter for leakage rate, the model assuming that the concentration of contrast agent perfusing through a leaking voxel has a same shape as a function of time as the average contrast agent concentration for non-leaking voxels; c) using the best fit leakage rate parameter to make a correction for leakage to the leaking voxel signals; and d) deconvolving the corrected signals from the artery input function, to find the residue function.

公开(公告)号：US20180033138A1

公开(公告)日：2018-02-01

申请号：US15397266

申请日：2017-01-03

申请人： Case Western Reserve University

发明人： Prateek Prasanna ,  Nathaniel Braman ,  Anant Madabhushi ,  Vinay Varadan ,  Lyndsay Harris ,  Salendra Singh

IPC分类号： G06T7/00 ,  G06T7/11

CPC分类号： G06T7/0012 ,  A61B5/055 ,  A61B5/4312 ,  G06T7/11 ,  G06T7/44 ,  G06T7/45 ,  G06T2207/10088 ,  G06T2207/10096 ,  G06T2207/30061 ,  G06T2207/30068 ,  G06T2207/30081

摘要： Methods, apparatus, and other embodiments distinguish disease phenotypes and mutational status using co-occurrence of local anisotropic gradient orientations (CoLIAGe) and Laws features. One example apparatus includes a set of circuits that acquires a radiologic image (e.g., MRI image) of a region of tissue demonstrating breast cancer, computes a gradient orientation for a pixel in the MRI image, computes a significant orientation for the pixel based on the gradient orientation, constructs a feature vector that captures a discretized entropy distribution for the image based on the significant orientation, extracts a set of texture features from the MRI image, and classifies the phenotype of the breast cancer based on the feature vector and the set of texture features. Embodiments of example apparatus may generate and display a heatmap of entropy values for the image. Example methods and apparatus may operate substantially in real-time, or may operate in two, three, or more dimensions.

公开(公告)号：US20180014802A1

公开(公告)日：2018-01-18

申请号：US15639084

申请日：2017-06-30

申请人： Konica Minolta, Inc.

发明人： Hitoshi FUTAMURA ,  Koichi FUJIWARA ,  Sho NOJI ,  Akinori TSUNOMORI

IPC分类号： A61B6/00 ,  G06K9/32 ,  G06T5/00

CPC分类号： A61B6/461 ,  A61B6/5264 ,  G06K9/3233 ,  G06K2209/05 ,  G06T5/002 ,  G06T5/50 ,  G06T7/246 ,  G06T7/254 ,  G06T2207/10016 ,  G06T2207/10096 ,  G06T2207/10116 ,  G06T2207/20021 ,  G06T2207/20104 ,  G06T2207/30008 ,  G06T2207/30061

摘要： A dynamic analysis apparatus includes: an obtainment unit configured to set a region of interest in dynamic images obtained by photographing a dynamic state by irradiation of a check target part with radial rays, and obtain movement information on movement of the region of interest; a determination unit configured to determine an emphasis level of a pixel signal value of an attentional pixel corresponding to a pixel in the region of interest on the basis of the movement information of the region of interest obtained by the obtainment unit; and a correction unit configured to correct the pixel signal value of the attentional pixel of the dynamic images or analysis result images generated by analyzing the dynamic images, on the basis of the emphasis level determined by the determination unit.

公开(公告)号：US09858674B2

公开(公告)日：2018-01-02

申请号：US15034485

申请日：2013-11-05

申请人： Brainlab AG

发明人： Rainer Lachner ,  Rowena Thomson ,  Christina Sladky

IPC分类号： G06T7/187 ,  G06T7/11 ,  G06T7/00 ,  G06T5/00 ,  G06T5/20 ,  G06T7/60 ,  G06T7/174 ,  G06T7/136

CPC分类号： G16H30/40 ,  G06T5/002 ,  G06T5/20 ,  G06T7/001 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/136 ,  G06T7/174 ,  G06T7/187 ,  G06T7/60 ,  G06T2207/10096 ,  G06T2207/20128 ,  G06T2207/20156 ,  G06T2207/20224 ,  G06T2207/30016 ,  G06T2207/30096

摘要： A data processing method for determining an enhancing structure of interest within an anatomical body part, wherein the structure of interest exhibits an enhanced signal in an image of the anatomical body part generated by a medical imaging method using a contrast agent, said method being designed to be performed by a computer and comprising a region growing algorithm.