Systems and methods for feature information determination
AssigneeShanghai United Imaging Healthcare Co., Ltd.
InventorsXiang CHEN, Yang LI, Saisai SU
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Abstract
The present disclosure is related to systems and methods for feature information determination. The method may include obtaining at least one image including a subject. The method may include determining a segmentation result by segmenting the at least one image using at least one segmentation model. The segmentation result may include at least one target region of the subject in the at least one image. The method may include determining feature information of the at least one target region based on at least one parameter of the at least one target region.
Claims20
A method for feature information determination, which is implemented on a computing device including at least one processor and at least one storage device, the method comprising:
- obtaining a first image including a subject, the subject including liver tissue;
- determining a preliminary segmentation result including a preliminary region representative of the liver tissue by inputting the first image into a first segmentation model;
- determining, based on the preliminary segmentation result, a target segmentation result including an effective liver region of the liver tissue, the effective liver region being a region of the liver tissue that excludes a liver lesion region;
- determining at least one target region based on the target segmentation result;
- and
- determining feature information of the at least one target region based on at least one parameter of the at least one target region.
A method for feature information determination, which is implemented on a computing device including at least one processor and at least one storage device, the method comprising:
- obtaining a morphological image and a functional image of a subject;
- determining a segmentation result by segmenting the morphological image using at least one segmentation model, wherein the segmentation result includes at least one target region of the subject in the morphological image;
- determining at least one second target region in the functional image corresponding to the at least one target region in the morphological image by registering the functional image and the morphological image;
- determining at least one parameter of the at least one second target region in the functional image as at least one parameter of the at least one target region in the morphological image;
- and
- determining feature information of the at least one target region based on the at least one parameter of the at least one target region.
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 for feature information determination, the method comprising:
- obtaining a first image including a subject, the subject including liver tissue;
- determining a preliminary segmentation result including a preliminary region representative of the liver tissue by inputting the first image into a first segmentation model;
- determining, based on the preliminary segmentation result, a target segmentation result including an effective liver region of the liver tissue, the effective liver region being a region of the liver tissue that excludes a liver lesion region;
- determining at least one target region based on the target segmentation result;
- and
- determining feature information of the at least one target region based on at least one parameter of the at least one target region.
Dependencies are inferred from the claim text.