SYSTEMS AND METHODS FOR IMAGE SEGMENTATION USING PROMPTABLE EMBEDDING-BASED SEGMENTATION MODELS

Abstract

Systems and methods are provided for performing segmentation of medical image data based on generating a spatial prompt for a promptable embedding-based segmentation model, such as, for example, an interactive vision transformer based segmentation model. At least a subset of a medical image dataset is transformed into a parameter space representation, where the dataset is processed to select a set of voxels satisfying parameter space selection criteria associated with one or more target substances (e.g. a target tissue, fluid or material). The resulting selected set of voxels is back-projected into image space, and employed to generate a region selection dataset for use as a spatial prompt for the promptable embedding-based segmentation model. The region selection dataset is provided as a spatial prompt to the promptable embedding-based segmentation model, and the promptable embedding-based segmentation model is employed to process the medical image dataset to determine a segmentation.

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