公开(公告)号：US11715210B2

公开(公告)日：2023-08-01

申请号：US18150112

申请日：2023-01-04

Applicant: Axial Medical Printing Limited

Inventor： Niall Haslam ,  Lorenzo Trojan ,  Daniel Crawford

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

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：US11436801B2

公开(公告)日：2022-09-06

申请号：US17372087

申请日：2021-07-09

Applicant: Axial Medical Printing Limited

Inventor： Niall Haslam ,  Daniel Crawford ,  Catherine Coomber

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

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.