Method for generating a 3d physical model of a patient specific anatomic feature from 2d medical images
AssigneeAxial Medical Printing Limited
InventorsNiall HASLAM, Lorenzo TROJAN, Daniel CRAWFORD
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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.
Claims30
A method for defining a patient specific anatomical feature from 2D medical images, the method comprising:
- receiving, by a server, 2D medical images of a patient;
- automatically processing, by the server, the 2D medical images using a segmentation algorithm to assign a label for each pixel of the 2D medical images;
- accessing, by the server, an anatomical knowledge dataset comprising a database of labelled 2D medical images of anatomical features;
- using, by the server, an anatomical feature identification algorithm to probabilistically match the assigned label for each pixel of the 2D medical images against the anatomical knowledge dataset to generate a score for each pixel;
- and
- generating, by the server, a confidence dataset comprising the label and the score for each pixel of the 2D medical images of the patient for defining the patient specific anatomical feature.
A computer implemented system for defining a patient specific anatomical feature from 2D medical images, the system comprising at least one processor configured to:
- receive 2D medical images of a patient;
- automatically process the 2D medical images using a segmentation algorithm to assign a label for each pixel of the 2D medical images;
- access an anatomical knowledge dataset comprising a database of labelled 2D medical images of anatomical features;
- use an anatomical feature identification algorithm to probabilistically match the assigned label for each pixel of the 2D medical images against the anatomical knowledge dataset to generate a score for each pixel;
- and
- generate a confidence dataset comprising the label and the score for each pixel of the 2D medical images of the patient for defining the patient specific patient specific anatomical feature.
A non-transitory computer readable media having instructions that, when executed by a processor, cause the processor to:
- receive 2D medical images of a patient;
- automatically process the 2D medical images using a segmentation algorithm to assign a label for each pixel of the 2D medical images;
- access an anatomical knowledge dataset comprising a database of labelled 2D medical images of anatomical features;
- use an anatomical feature identification algorithm to probabilistically match the assigned label for each pixel of the 2D medical images against the anatomical knowledge dataset to generate a score for each pixel;
- and
- generate a confidence dataset comprising the label and the score for each pixel of the 2D medical images of the patient for defining the patient specific patient specific anatomical feature.
Dependencies are inferred from the claim text.