Covariate modulate atlas
AssigneeCorTechs Labs, Inc.
InventorsSebastian Magda, Christopher N. Airriess, Nathan S. White
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Abstract
The disclosed technology relates generally to medical imaging, and more particularly, some embodiments relate to systems and methods for creating and using a covariate modulated or “dynamic” atlas. Some embodiments of the disclosure provide a method for predicting an alas using General Additive Model (GAM) parameters, wherein the GAM parameters are derived by registering (and optionally segmenting) a plurality of image data sets from a plurality of different subjects to an initial atlas estimate (e.g., a seed atlas), and analyzing the resulting registration, segmentation, and intensity parameters as correlated with input covariates.
Claims22
A method for building an atlas comprising:
- receiving, for individual ones of a plurality of subjects, 1) a subject dependent image data set of a target anatomical region from an image data source, and 2) a set of subject dependent covariates from one or both of the image data source or a demographic data source;
- receiving an atlas estimate, the atlas estimate including atlas parameters;
- determining a set of subject dependent registration parameters by registering the subject dependent image data set to the atlas estimate;
- determining a set of general additive model (GAM) parameters based on the set of subject dependent registration parameters as a function of the set of subject dependent covariates;
- and
- determining an updated atlas estimate using the GAM parameters and the atlas parameters based on a target set of covariates.
A method for applying an atlas comprising:
- receiving a target image data set from an image data source and a set of target covariates from one or both of the image data source or a demographic data source;
- determining an atlas prediction by applying a set of general additive model (GAM) parameters to the set of target covariates;
- and
- registering the target image data set to the atlas prediction.
A system configured to build an atlas, the system comprising one or more hardware processors configured by machine-readable instructions to:
- receive, for individual ones of a plurality of subjects, 1) a subject dependent image data set of a target anatomical region from an image data source, and 2) a set of subject dependent covariates from one or both of the image data source or a demographic data source;
- receive an atlas estimate, the atlas estimate including atlas parameters;
- determine a set of subject dependent registration parameters by registering the subject dependent image data set to the atlas estimate;
- determine a set of general additive model (GAM) parameters based on the set of subject dependent registration parameters and as a function of the set of subject dependent covariates;
- and
- determine an updated atlas estimate using the GAM parameters and the atlas parameters based on a target set of covariates.
A system for applying an atlas, the system comprising one or more hardware processors configured by machine-readable instructions to:
- receive a target image data set from an image data source and a set of target covariates from one or both of the image data source or a demographic data source;
- determine an atlas prediction by applying a set of general additive model (GAM) parameters to the set of target covariates;
- and
- register the target image data set to the target atlas prediction.
Dependencies are inferred from the claim text.