Systems and methods for image segmentation
AssigneeShanghai United Imaging Healthcare Co., Ltd.
InventorsYanen Guo, Jianhua Shen, Xiaodong Wang
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Abstract
The present disclosure relates to an image processing method. The method may include: obtaining image data; reconstructing an image based on the image data, the image including one or more first edges; obtaining a model, the model including one or more second edges corresponding to the one or more first edges; matching the model and the image; and adjusting the one or more second edges of the model based on the one or more first edges.
Claims17
A method, composing:
- obtaining image data;
- reconstructing an image based on the image data, wherein the image includes one or more first edges;
- obtaining a model, wherein the model includes one or more second edges corresponding to the one or more first edges;
- matching the model and the image based on the one or more first edges and the one or more second edges;
- and
- adjusting the one or more second edges of the model based on the one or more first edges by:
- determining a reference point on each of the one or more second edges, including:
- obtaining a point on an inner edge of the each of the one or more second edges as the reference point;
- determining an object point corresponding to the reference point;
- and
- adjusting the each of the one or more second edges of the model based on the object point.
A system, composing:
- at least one storage device storing a set of instructions;
- and
- at least one processor in communication with the at least one storage device, when executing the stored set of instructions, the at least one processor causes the system to perform operations including:
- obtaining image data;
- reconstructing an image based on the image data, wherein the image includes one or more first edges;
- obtaining a model, wherein the model includes one or more second edges corresponding to the one or more first edges;
- matching the model and the image based on the one or more first edges and the one or more second edges;
- and
- adjusting the one or more second edges of the model based on the one or more first edges by:
- determining a reference point on each of the one or more second edges;
- determining an object point corresponding to the reference point;
- and
- adjusting the each of the one or more second edges of the model based on the object point, including:
- performing at least one of a similarity transformation, a segmentation affine transformation, or an energy function based micro-variation on a position of the reference point on the each second edge of the one or more second edges of the model based on the object point.
A non-transitory computer readable medium, comprising at least one set of instructions, wherein when executed by at least one processor of a computing device, the at least one set of instructions cause the at least one processor to effectuate a method comprising:
- obtaining image data;
- reconstructing an image based on the image data, wherein the image includes one or more first edges;
- obtaining a model, wherein the model includes one or more second edges corresponding to the one or more first edges;
- matching the model and the image based on the one or more first edges and the one or more second edges;
- and
- adjusting the one or more second edges of the model based on the one or more first edges by:
- determining a reference point on each of the one or more second edges, including:
- obtaining a point on an inner edge of the each of the one or more second edges as the reference point;
- determining an object point corresponding to the reference point;
- and
- adjusting the each of the one or more second edges of the model based on the object point.
Dependencies are inferred from the claim text.