Systems and methods for determining processing parameter for medical image processing
AssigneeShanghai United Imaging Healthcare Co., Ltd.
InventorYanyan Liu
Life of this patent
Estimating the term…
Abstract
A system and method for determine a parameter for medical data processing are provided. The method may include obtaining sample data, the sample data may comprise at least one of projection data or a scanning parameter. The method may also include obtaining a first neural network model. The method may further include determining the parameter based on the sample data and the first neural network model. The parameter may comprise at least one of a correction coefficient or a noise reduction parameter.
Claims20
A method implemented on at least one computing device, each of which has at least one processor and storage device, the method comprising:
- obtaining first projection data of a subject;
- generating second projection data of the subject corresponding to the first projection data of the subject;
- and
- obtaining a trained model, by training an initial model with both the first projection data and the second projection data as an input of the initial model, wherein an output of the trained model is a processing parameter, and the processing parameter includes a correction coefficient for correcting errors introduced by a detector.
A system, comprising:
- at least one storage medium including a set of instructions;
- and
- at least one processor configured to communicate with the at least one storage medium, wherein when executing the set of instructions, the at least one processor is directed to perform operations including:
- obtaining first projection data of a subject;
- generating second projection data of the subject corresponding to the first projection data of the subject;
- and
- obtaining a trained model, by training an initial model with both the first projection data and the second projection data as an input of the initial model, wherein an output of the trained model is a processing parameter-, and the processing parameter includes a correction coefficient for correcting errors introduced by a detector.
A non-transitory computer readable medium including executable instructions that, when executed by at least one processor, cause the at least one processor to effectuate a method comprising:
- obtaining first projection data of a subject;
- generating second projection data of the subject corresponding to the first projection data of the subject;
- and
- obtaining a trained model, by training an initial model with both the first projection data and the second projection data as an input of the initial model, wherein an output of the trained model is a processing parameter, and the processing parameter includes a correction coefficient for correcting errors introduced by a detector.
Dependencies are inferred from the claim text.