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公开(公告)号：US20210346091A1
公开(公告)日：2021-11-11
申请号：US16341554
申请日：2017-10-16
Applicant: AXIAL MEDICAL PRINTING LIMITED
Inventor： Niall HASLAM , Lorenzo TROJAN , Daniel CRAWFORD
IPC: A61B34/10 , B29C64/393 , G06N20/20 , G06N3/04 , G16H10/60 , G06T17/10 , G06Q20/10 , G06Q20/12 , G06T7/00 , G06T7/136 , G06T17/20 , G16H30/40 , G06F40/40
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.
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公开(公告)号：US20220020213A1
公开(公告)日：2022-01-20
申请号：US17491183
申请日：2021-09-30
Applicant: Axial Medical Printing Limited
Inventor： Niall HASLAM , Lorenzo TROJAN , Daniel CRAWFORD
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.
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Patent Agency Ranking
公开(公告)号：US20220215627A1
公开(公告)日：2022-07-07
申请号：US17656189
申请日：2022-03-23
Applicant: Axial Medical Printing Limited
Inventor： Niall HASLAM , Lorenzo TROJAN , Daniel CRAWFORD
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.
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4.发明公开公开(公告)号：US20240202927A1
公开(公告)日：2024-06-20
申请号：US18595213
申请日：2024-03-04
Applicant: Axial Medical Printing Limited
Inventor： Niall HASLAM , Lorenzo TROJAN , Daniel CRAWFORD
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.
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5.发明公开公开(公告)号：US20230410317A1
公开(公告)日：2023-12-21
申请号：US18359821
申请日：2023-07-26
Applicant: Axial Medical Printing Limited
Inventor： Niall HASLAM , Lorenzo TROJAN , Daniel CRAWFORD
CPC classification number: G06T7/11 , G06T17/20 , G06T7/0014 , G16H30/40 , G16H50/70 , G06V2201/03 , G06F18/24 , G06V10/26 , G06T2200/08 , G06T2207/30004 , 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.
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6.发明公开公开(公告)号：US20230141276A1
公开(公告)日：2023-05-11
申请号：US18150112
申请日：2023-01-04
Applicant: Axial Medical Printing Limited
Inventor： Niall HASLAM , Lorenzo TROJAN , Daniel CRAWFORD
CPC classification number: G06T7/11 , G06T17/20 , G06T7/0014 , G16H30/40 , G16H50/70 , G16H50/50 , G06F18/24 , G06V10/26 , 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.
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公开(公告)号：US20210110605A1
公开(公告)日：2021-04-15
申请号：US17115102
申请日：2020-12-08
Applicant: AXIAL MEDICAL PRINTING LIMITED
Inventor： Niall HASLAM , Lorenzo TROJAN , Daniel CRAWFORD
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.
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