公开(公告)号：US11626212B2

公开(公告)日：2023-04-11

申请号：US17662802

申请日：2022-05-10

Applicant: Axial Medical Printing Limited

Inventor： Daniel Crawford ,  Rory Hanratty ,  Luke Donnelly ,  Luis Trindade ,  Thomas Schwarz ,  Adam Harpur

IPC: G16H50/50 ,  G06T7/00 ,  G06T7/62 ,  G06T15/04 ,  G06T15/06 ,  G06T17/20 ,  G06V10/26 ,  G06V10/764 ,  G06V20/70 ,  G16H30/40 ,  G06V10/25 ,  G06V10/46 ,  G06V20/64 ,  G06V40/14

Abstract: Systems and methods are provided for multi-schema analysis of patient specific anatomical features from medical images. The system may receive medical images of a patient and metadata associated with the medical images indicative of a selected pathology, and automatically classify the medical images using a segmentation algorithm. The system may use an anatomical feature identification algorithm to identify one or more patient specific anatomical features within the medical images by exploring an anatomical knowledge dataset. A 3D surface mesh model may be generated representing the one or more classified patient specific anatomical features, such that information may be extracted from the 3D surface mesh model based on the selected pathology. Physiological information associated with the selected pathology for the 3D surface mesh model may be generated based on the extracted information.

公开(公告)号：US12020375B2

公开(公告)日：2024-06-25

申请号：US17929702

申请日：2022-09-04

Applicant: Axial Medical Printing Limited

Inventor： Niall Haslam ,  Daniel Crawford ,  Catherine Coomber

IPC: G06T15/00 ,  G06N3/08 ,  G06N20/20 ,  G06T7/00 ,  G06T7/11 ,  G06T17/20 ,  G16H30/40 ,  G16H50/50

CPC classification number: G06T17/20 ,  G06N3/08 ,  G06N20/20 ,  G06T7/0012 ,  G06T7/11 ,  G16H30/40 ,  G16H50/50 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30048 ,  G06T2207/30104 ,  G06T2210/41

Abstract: A computer implemented method for generating a 3D printable model of a patient specific anatomic feature from 2D medical images is provided. A 3D image is automatically generated from a set of 2D medical images. A machine learning based image segmentation technique is used to segment the generated 3D image. A 3D printable model of the patient specific anatomic feature is created from the segmented 3D image.

公开(公告)号：US11288865B2

公开(公告)日：2022-03-29

申请号：US17491183

申请日：2021-09-30

Applicant: Axial Medical Printing Limited

Inventor： Niall Haslam ,  Lorenzo Trojan ,  Daniel Crawford

IPC: G06K9/00 ,  G06T17/20 ,  G06T7/11 ,  G06T7/00 ,  G06K9/62 ,  G06K9/46 ,  G16H30/40 ,  G16H50/70 ,  G16H50/50

Abstract: There is provided a method for generating a 3D physical model of a patient specific anatomic feature from 2D medical images. The 2D medical images are uploaded by an end-user via a Web Application and sent to a server. The server processes the 2D medical images and automatically generates a 3D printable model of a patient specific anatomic feature from the 2D medical images using a segmentation technique. The 3D printable model is 3D printed as a 3D physical model such that it represents a 1:1 scale of the patient specific anatomic feature. The method includes the step of automatically identifying the patient specific anatomic feature.

公开(公告)号：US11138790B2

公开(公告)日：2021-10-05

申请号：US17115102

申请日：2020-12-08

Applicant: AXIAL MEDICAL PRINTING LIMITED

Inventor： Niall Haslam ,  Lorenzo Trojan ,  Daniel Crawford

IPC: G06K9/00 ,  G06T17/20 ,  G06T7/11 ,  G06T7/00 ,  G06K9/62 ,  G06K9/46 ,  G16H30/40 ,  G16H50/70 ,  G16H50/50

Abstract: There is provided a method for generating a 3D physical model of a patient specific anatomic feature from 2D medical images. The 2D medical images are uploaded by an end-user via a Web Application and sent to a server. The server processes the 2D medical images and automatically generates a 3D printable model of a patient specific anatomic feature from the 2D medical images using a segmentation technique. The 3D printable model is 3D printed as a 3D physical model such that it represents a 1:1 scale of the patient specific anatomic feature. The method includes the step of automatically identifying the patient specific anatomic feature.

公开(公告)号：US12154691B2

公开(公告)日：2024-11-26

申请号：US18407286

申请日：2024-01-08

Applicant: Axial Medical Printing Limited

Inventor： Daniel Crawford ,  Rory Hanratty ,  Luke Donnelly ,  Luis Trindade ,  Thomas Schwarz ,  Adam Harpur

IPC: G16H50/50 ,  G06T7/00 ,  G06T7/62 ,  G06T15/04 ,  G06T15/06 ,  G06T17/20 ,  G06V10/26 ,  G06V10/764 ,  G06V20/70 ,  G16H30/40

Abstract: Systems and methods are provided for multi-schema analysis of patient specific anatomical features from medical images. The system may receive medical images of a patient and metadata associated with the medical images indicative of a selected pathology, and automatically classify the medical images using a segmentation algorithm. The system may use an anatomical feature identification algorithm to identify one or more patient specific anatomical features within the medical images by exploring an anatomical knowledge dataset. A 3D surface mesh model may be generated representing the one or more classified patient specific anatomical features, such that information may be extracted from the 3D surface mesh model based on the selected pathology. Physiological information associated with the selected pathology for the 3D surface mesh model may be generated based on the extracted information.

公开(公告)号：US11922631B2

公开(公告)日：2024-03-05

申请号：US18359821

申请日：2023-07-26

Applicant: Axial Medical Printing Limited

Inventor： Niall Haslam ,  Lorenzo Trojan ,  Daniel Crawford

IPC: G06K9/00 ,  G06F18/24 ,  G06T7/00 ,  G06T7/11 ,  G06T17/20 ,  G06V10/26 ,  G16H30/40 ,  G16H50/50 ,  G16H50/70

CPC classification number: G06T7/11 ,  G06F18/24 ,  G06T7/0014 ,  G06T17/20 ,  G06V10/26 ,  G16H30/40 ,  G16H50/50 ,  G16H50/70 ,  G06T2200/08 ,  G06T2207/30004 ,  G06V2201/03

Abstract: There is provided a method for generating a 3D physical model of a patient specific anatomic feature from 2D medical images. The 2D medical images are uploaded by an end-user via a Web Application and sent to a server. The server processes the 2D medical images and automatically generates a 3D printable model of a patient specific anatomic feature from the 2D medical images using a segmentation technique. The 3D printable model is 3D printed as a 3D physical model such that it represents a 1:1 scale of the patient specific anatomic feature. The method includes the step of automatically identifying the patient specific anatomic feature.

公开(公告)号：US11551420B2

公开(公告)日：2023-01-10

申请号：US17656189

申请日：2022-03-23

Applicant: Axial Medical Printing Limited

Inventor： Niall Haslam ,  Lorenzo Trojan ,  Daniel Crawford

IPC: G06K9/00 ,  G06T17/20 ,  G06T7/11 ,  G06T7/00 ,  G06K9/62 ,  G16H30/40 ,  G16H50/70 ,  G16H50/50 ,  G06V10/50

Abstract: There is provided a method for generating a 3D physical model of a patient specific anatomic feature from 2D medical images. The 2D medical images are uploaded by an end-user via a Web Application and sent to a server. The server processes the 2D medical images and automatically generates a 3D printable model of a patient specific anatomic feature from the 2D medical images using a segmentation technique. The 3D printable model is 3D printed as a 3D physical model such that it represents a 1:1 scale of the patient specific anatomic feature. The method includes the step of automatically identifying the patient specific anatomic feature.

公开(公告)号：US11497557B2

公开(公告)日：2022-11-15

申请号：US16341554

申请日：2017-10-16

Applicant: AXIAL MEDICAL PRINTING LIMITED

Inventor： Niall Haslam ,  Lorenzo Trojan ,  Daniel Crawford

IPC: G06T15/00 ,  A61B34/10 ,  G06T7/136 ,  B29C64/393 ,  G16H10/60 ,  G16H30/40 ,  G06N20/20 ,  G06F40/40 ,  G06N3/04 ,  G06Q20/10 ,  G06Q20/12 ,  G06T7/00 ,  G06T17/10 ,  G06T17/20 ,  B33Y50/02

Abstract: There is provided a method for generating a 3D physical model of a patient specific anatomic feature from 2D medical images. The 2D medical images are uploaded by an end-user via a Web Application and sent to a server. The server processes the 2D medical images and automatically generates a 3D printable model of a patient specific anatomic feature from the 2D medical images using a segmentation technique. The 3D printable model is 3D printed as a 3D physical model such that it represents a 1:1 scale of the patient specific anatomic feature. The method includes the step of automatically identifying the patient specific anatomic feature.

公开(公告)号：US12277712B2

公开(公告)日：2025-04-15

申请号：US18595213

申请日：2024-03-04

Applicant: Axial Medical Printing Limited

Inventor： Niall Haslam ,  Lorenzo Trojan ,  Daniel Crawford

IPC: G06K9/00 ,  G06F18/24 ,  G06T7/00 ,  G06T7/11 ,  G06T17/20 ,  G06V10/26 ,  G16H30/40 ,  G16H50/50 ,  G16H50/70

Abstract: There is provided a method for generating a 3D physical model of a patient specific anatomic feature from 2D medical images. The 2D medical images are uploaded by an end-user via a Web Application and sent to a server. The server processes the 2D medical images and automatically generates a 3D printable model of a patient specific anatomic feature from the 2D medical images using a segmentation technique. The 3D printable model is 3D printed as a 3D physical model such that it represents a 1:1 scale of the patient specific anatomic feature. The method includes the step of automatically identifying the patient specific anatomic feature.

公开(公告)号：US11869670B2

公开(公告)日：2024-01-09

申请号：US18131859

申请日：2023-04-06

Applicant: Axial Medical Printing Limited

Inventor： Daniel Crawford ,  Rory Hanratty ,  Luke Donnelly ,  Luis Trindade ,  Thomas Schwarz ,  Adam Harpur

IPC: G16H50/50 ,  G06T7/00 ,  G06T7/62 ,  G06T15/04 ,  G06T17/20 ,  G06V10/26 ,  G06V10/764 ,  G06V20/70 ,  G16H30/40 ,  G06T15/06

CPC classification number: G16H50/50 ,  G06T7/0016 ,  G06T7/62 ,  G06T15/04 ,  G06T15/06 ,  G06T17/20 ,  G06V10/26 ,  G06V10/764 ,  G06V20/70 ,  G16H30/40 ,  G06T2210/21 ,  G06T2210/41 ,  G06V2201/03

Abstract: Systems and methods are provided for multi-schema analysis of patient specific anatomical features from medical images. The system may receive medical images of a patient and metadata associated with the medical images indicative of a selected pathology, and automatically classify the medical images using a segmentation algorithm. The system may use an anatomical feature identification algorithm to identify one or more patient specific anatomical features within the medical images by exploring an anatomical knowledge dataset. A 3D surface mesh model may be generated representing the one or more classified patient specific anatomical features, such that information may be extracted from the 3D surface mesh model based on the selected pathology. Physiological information associated with the selected pathology for the 3D surface mesh model may be generated based on the extracted information.