Image processing method
AssigneeVitaware Ltd
InventorsArchil Tsiskaridze, Philippe Georges Young
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Abstract
The invention relates to the creation and/or use of an inference model that maps between a three-dimensional image data of an intra-oral tissue structure, e.g. shape and size of teeth roots, and a three-dimensional representation of an exposed surface of dental features of the intra-oral tissue structure, e.g. teeth crowns. In particular, the present invention proposes a method for image processing, using an inference model, a computer-readable surface representation of an individual's intra-oral tissue to provide a full three-dimensional representation of the intra-oral tissue. The present invention also proposes a method for creating the inference model.
Claims20
A method for training a machine learning inference model, wherein the trained machine learning inference model is for use in generating a representation of a virtual three-dimensional cast of an internal structure of an individual's intra-oral tissue from a computer-readable surface representation of exposed portions of the individual's intra-oral tissue, the method comprising:
- obtaining first three-dimensional image data representing tissue characteristics within an intra-oral cavity for a plurality of individuals;
- obtaining second three-dimensional image data representing a shape of a volume enclosed by an external surface of intra-oral tissue that is exposed within the intra-oral cavity for the plurality of individuals, wherein the second three-dimensional image data is of exposed intra-oral tissue that comprises both hard tissue and soft tissue, and wherein the first three-dimensional image data and second three-dimensional image data for each of the plurality of individuals form a co-registered pair;
- and
- training the machine learning inference model using a training set obtained from the co-registered pairs of first three-dimensional image data and second three-dimensional image data for the plurality of individuals, wherein the first three-dimensional image data is used as a target for the training.
A method for generating a representation of a virtual three-dimensional cast of an internal structure of an individual's intra-oral tissue, the method comprising:
- obtaining a computer-readable surface representation of portions of the individual's intra-oral tissue that are exposed within the individual's intra-oral cavity, the surface representation being of exposed intra-oral tissue that comprises both hard tissue and soft tissue;
- converting the surface representation into a digitised three-dimensional image data;
- applying an inference model to the digitised three-dimensional image data, the inference model associating, for each of a plurality of individuals, (i) first three-dimensional image data representing tissue characteristics within an intra-oral cavity with (ii) second three-dimensional image data representing a shape of a volume enclosed by external surfaces of intra-oral tissue that comprises both hard tissue and soft tissue;
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- generating a virtual three-dimensional representation of an internal structure of the individual's intra-oral tissue from the digitised three-dimensional image data, using the inference model.
Dependencies are inferred from the claim text.