Systems and methods for image processing
AssigneeShanghai United Imaging Healthcare Co., Ltd.
InventorsYang LYU, Chen XI
Life of this patent
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Abstract
The present disclosure relates to systems and methods for image processing. The systems may acquire imaging data. The systems may generate multiple intermediate images based on the imaging data by performing image optimization of multiple image optimization dimensions using a plurality of trained machine learning models. The systems may generate a target image based on the intermediate images.
Claims20
A system, comprising:
- at least one storage device including a set of instructions;
- and
- at least one processor in communication with the at least one storage device, wherein when executing the set of instructions, the at least one processor is directed to perform operations including:
- acquiring imaging data;
- generating multiple intermediate images based on the imaging data by performing image optimization of multiple image optimization dimensions using a plurality of trained machine learning models;
- and
- generating a target image based on the intermediate images.
A method for image processing, implemented on a computing device having at least one storage device storing a set of instructions, and at least one processor in communication with the at least one storage device, the method comprising:
- acquiring imaging data;
- generating multiple intermediate images based on the imaging data by performing image optimization of multiple image optimization dimensions using a plurality of trained machine learning models;
- and
- generating a target image based on the intermediate images.
A non-transitory computer readable medium, comprising executable instructions that, when executed by at least one processor, direct the at least one processor to perform a method, the method comprising:
- acquiring imaging data;
- generating multiple intermediate images based on the imaging data by performing image optimization of multiple image optimization dimensions using a plurality of trained machine learning models;
- and
- generating a target image based on the intermediate images.
Dependencies are inferred from the claim text.