公开(公告)号：US11727562B2

公开(公告)日：2023-08-15

申请号：US17370455

申请日：2021-07-08

Applicant: StraxCorp Pty. Ltd.

Inventor： Yu Peng

IPC: G06N20/00 ,  G06F17/18 ,  G06F18/24 ,  G06N3/047 ,  G06T7/00 ,  G06T7/10

CPC classification number: G06T7/0012 ,  G06F17/18 ,  G06F18/24 ,  G06N3/047 ,  G06N20/00 ,  G06T7/10 ,  G06T2207/30008

Abstract: A computer-implemented image analysis method and system. The method comprises: quantifying one or more features segmented and identified from a medical image of a subject; extracting clinically relevant features from non-image data pertaining to the subject; assessing the features segmented from the medical image and the features extracted from the non-image data with a trained machine learning model; and outputting one or more results of the assessing of the features.

公开(公告)号：US11462302B2

公开(公告)日：2022-10-04

申请号：US16081701

申请日：2017-02-28

Applicant: Straxcorp Pty Ltd

Inventor： Roger Zebaze ,  Yu Peng

IPC: G06T7/00 ,  G16B20/00 ,  G16B40/00 ,  G16B45/00 ,  G16H10/40 ,  G16H30/20 ,  G16H50/20 ,  G16H50/70

Abstract: A method of building an abnormality quantifier comprising: generating at least one selected first dataset comprising measurements of a normal population or sample and at least one second selected dataset comprising measurements of an abnormal population or sample; generating an image or map by imagizing the datasets; identifying a normality zone within the image or map using the first dataset; identifying an abnormality zone within the image or map using the second dataset; determining a definition of abnormality based on a comparison of the normality zone and the abnormality zone; receiving or accessing at least one third dataset comprising measurements of a both known normal and abnormal population or sample; testing the performance of the initially defined abnormality against one or more preset performance criteria; and outputting an abnormality quantifier when optimal performance has been reached.

公开(公告)号：US11769253B2

公开(公告)日：2023-09-26

申请号：US17518858

申请日：2021-11-04

Applicant: StraxCorp Pty. Ltd.

Inventor： Yu Peng

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/70 ,  G06T5/00 ,  G06T5/40 ,  G06T7/60

CPC classification number: G06T7/0012 ,  G06T5/002 ,  G06T5/009 ,  G06T5/40 ,  G06T7/11 ,  G06T7/60 ,  G06T7/70 ,  G06T2207/20036 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V2201/03

Abstract: A system and computer-implemented method for analysing or monitoring a subject, the method comprising: identifying one or more objects of interest that have been segmented from a first image comprising any of a baseline scan, a follow-up scan or a reference image of the subject; identifying predefined landmarks of the objects; determining reference morphometries pertaining to the objects by performing morphometrics on the objects by reference to the landmarks; selecting one or more regions of interest (ROIs) from the objects according to the reference morphometries, comprising identifying respective locations of the ROIs relative to the reference morphometries; performing a first analysis of the one or more ROIs; performing at least one corresponding second analysis of the one or more ROIs in respectively at least one second image comprising any other of a baseline scan, a follow-up scan or a reference image; and generating a comparison of one or more results of the first analysis and one or more corresponding results of the second analysis.

公开(公告)号：US11263497B2

公开(公告)日：2022-03-01

申请号：US16448474

申请日：2019-06-21

Applicant: StraxCorp Pty. Ltd.

Inventor： Yu Peng

IPC: G06K9/62 ,  G06T7/11 ,  A61B5/00 ,  G06T7/00

Abstract: A system and method for classifying a structure or material in an image of a subject. The system comprises: a segmenter configured to form one or more segmentations of a structure or material in an image and generate from the segmentations one or more segmentation maps of the image including categorizations of pixels or voxels of the segmentation maps assigned from one or more respective predefined sets of categories; a classifier that implements a classification machine learning model configured to generate, based on the segmentations maps, one or more classifications and to assign to the classifications respective scores indicative of a likelihood that the structure or material, or the subject, falls into the respective classifications; and an output for outputting a result indicative of the classifications and scores.

公开(公告)号：US10977832B2

公开(公告)日：2021-04-13

申请号：US16011224

申请日：2018-06-18

Applicant: Straxcorp Pty Ltd

Inventor： Roger Zebaze ,  Yu Peng

IPC: G06T7/90 ,  H04N1/62 ,  H04N1/60 ,  G06T11/00 ,  G06T7/10 ,  G06T7/11 ,  G06K9/46 ,  G06K9/52 ,  G06K9/62

Abstract: A method and system for assigning colours to an image or part thereof, the method comprising: selecting a sequence of colours for assignment to the image or part thereof; determining a minimum intensity IMIN within the image or part thereof;
determining a maximum intensity IMAX within the image or part thereof; and determining relative intensity values RIV(i) for each pixel or voxel i according to; (I) where I(i) is an intensity of pixel or voxel I, and f is a preselected function (such as to re-arrange the normalized values); and assigning colours to at least some pixels in the image or part thereof based on the relative intensity values and an order of each of the colours in the sequence.

公开(公告)号：US12217418B2

公开(公告)日：2025-02-04

申请号：US17584752

申请日：2022-01-26

Applicant: StraxCorp Pty. Ltd.

Inventor： Yu Peng

IPC: G06T7/00 ,  A61B5/00 ,  G06F18/21 ,  G06F18/214 ,  G06F18/2431 ,  G06T7/11 ,  G06F18/2411 ,  G06F18/243

Abstract: A system and method for classifying a structure or material in an image of a subject. The system comprises: a segmenter configured to segment an image into one or more segmentations that correspond to respective structures or materials in the image, and to generate from the segmentations one or more segmentation maps of the image (each of the segmentation maps representing the image) including categorizations of pixels or voxels of the segmentation maps assigned from one or more respective predefined sets of categories; a classifier that implements a classification machine learning model configured to generate, based on the segmentations maps, one or more classifications and to assign to the classifications respective scores indicative of a likelihood that the structure or material, or the subject, falls into the respective classifications; and an output for outputting a result indicative of the classifications and scores.

公开(公告)号：US10706574B2

公开(公告)日：2020-07-07

申请号：US15756485

申请日：2016-09-02

Applicant: STRAXCORP PTY LTD

Inventor： Roger Zebaze ,  Yu Peng

IPC: G06K9/00 ,  G06T7/62 ,  G06T7/12 ,  G06T7/13 ,  G06T5/00 ,  G06T7/00

Abstract: A computer-implemented method for identifying a gap between objects in an image, the method comprising: detecting contours of the objects in the image or in a binarized version thereof; locating at least one path or gap between the objects, in the image or in an intersection region being a portion of the image containing at least respective portions of the objects by: determining representative attenuations or densities of respective one or more rows and columns of the image or of the intersection region, identifying first pixels, being pixels in a column that has a representative attenuation or density of 0, and second pixels, being pixels in a row that has a representative attenuation or density of 0, determining whether there exists a path or gap between two or more boundaries by identifying at least one first or second pixel on each of two or more of the boundaries, and detecting one or more paths between the at least two boundaries; and outputting a result indicative of one or more detected paths.

公开(公告)号：US12067724B2

公开(公告)日：2024-08-20

申请号：US17186814

申请日：2021-02-26

Applicant: StraxCorp Pty. Ltd.

Inventor： Yu Peng

IPC: G06T7/00 ,  G06F18/21 ,  G06F18/214 ,  G06T7/11

CPC classification number: G06T7/11 ,  G06F18/2148 ,  G06F18/2155 ,  G06F18/217 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06V2201/03

Abstract: An image segmentation method system, the system comprising: a training subsystem configured to train a segmentation machine learning model using annotated training data comprising images associated with respective segmentation annotations, so as to generate a trained segmentation machine learning model; a model evaluator; and a segmentation subsystem configured to perform segmentation of a structure or material in an image using the trained segmentation machine learning model. The model evaluator is configured to evaluate the segmentation machine learning model by (i) controlling the segmentation subsystem to segment at least one evaluation image associated with an existing segmentation annotation using the segmentation machine learning model and thereby generate a segmentation of the annotated evaluation image, and (ii) forming a comparison of the segmentation of the annotated evaluation image and the existing segmentation annotation. The method includes deploying the trained segmentation machine learning model for use if the comparison indicates that the segmentation machine learning model is satisfactory.

公开(公告)号：US11786201B1

公开(公告)日：2023-10-17

申请号：US17839707

申请日：2022-06-14

Applicant: StraxCorp Pty. Ltd

Inventor： Yu Peng

IPC: A61B6/00 ,  A61B6/03

CPC classification number: A61B6/482 ,  A61B6/032 ,  A61B6/4241

Abstract: A method and system for generating material decomposition images from plural-energy x-ray based imaging, the method comprising: modelling spatial relationships and spectral relationships among the plurality of images by learning features from the plurality of images in combination and one or more of the plurality of images individually with a deep learning neural network; generating one or more basis material images employing the spatial relationships and the spectral relationships; and generating one or more material specific or material decomposition images from the basis material images. The neural network has an encoder-decoder structure and includes a plurality of encoder branches; each of one or more of the plurality of encoder branches encodes two or more images of the plurality of images in combination; and each of one or more of the plurality of encoder branches encodes a respective individual image of the plurality of images.

公开(公告)号：US11170245B2

公开(公告)日：2021-11-09

申请号：US16448285

申请日：2019-06-21

Applicant: StraxCorp Pty. Ltd.

Inventor： Yu Peng

IPC: G06K9/32 ,  G06T7/11 ,  G06T7/70 ,  G06T5/00 ,  G06T5/40 ,  G06T7/00 ,  G06T7/60

Abstract: A computer-implemented method and system for selecting one or more regions of interest (ROIs) in an image. The method comprises: identifying one or more objects of interest that have been segmented from the image; identifying predefined landmarks of the objects; determining reference morphometrics pertaining to the objects by performing morphometrics on the objects by reference to the landmarks; selecting one or more ROIs from the objects according to the reference morphometrics, comprises identifying the location of the ROIs relative to the reference morphometrics; and outputting the selected one or more ROIs.