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 features from 2D medical images, the method comprising:
- receiving, by a server, 2D medical images of a patient comprising one or more patient specific anatomical features and background information;
- automatically processing, by the server, the 2D medical images using a segmentation algorithm to classify each pixel of the 2D medical images;
- using, by the server, an anatomical feature identification algorithm to probabilistically match the classified pixels of the 2D medical images against a database of medical image anatomical features and generate a score for the classified pixels indicative of a likelihood that the classified pixel was classified correctly;
- and
- generating, by the server, a dataset comprising the classification and the score for each pixel of the one or more patient specific anatomical features of the 2D medical images of the patient for defining the patient specific anatomical feature.
A system for defining a patient specific anatomical features from 2D medical images, the system comprising at least one processor configured to:
- receive 2D medical images of a patient comprising one or more patient specific anatomical features and background information;
- automatically process the 2D medical images using a segmentation algorithm to classify each pixel of the 2D medical images;
- use an anatomical feature identification algorithm to probabilistically match the classified pixels of the 2D medical images against a database of medical image anatomical features and generate a score for the classified pixels indicative of a likelihood that the classified pixel was classified correctly;
- and
- generate a dataset comprising the classification and the score for each pixel of the one or more patient specific anatomical features of the 2D medical images of the patient for defining the 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 comprising one or more patient specific anatomical features and background information;
- automatically process the 2D medical images using a segmentation algorithm to classify each pixel of the 2D medical images;
- use an anatomical feature identification algorithm to probabilistically match the classified pixels of the 2D medical images against a database of medical image anatomical features and generate a score for the classified pixels indicative of a likelihood that the classified pixel was classified correctly;
- and
- generate a dataset comprising the classification and the score for each pixel of the one or more patient specific anatomical features of the 2D medical images of the patient for defining the patient specific anatomical feature.
Dependencies are inferred from the claim text.