Method and system for extracting lower limb vasculature

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 an image including a plurality of image data, each of the plurality of image data corresponding to a pixel (or a voxel), the plurality of image data including a target data set, the target data set representing a first structure;
• extracting a first reference data set from the plurality of image data, the first reference data set including the target data set;
• extracting a second reference data set from the plurality of image data, the second reference data set including data of a second structure;
• obtaining a vessel mask corresponding to the first structure;
• determining a first subtraction image corresponding to the second structure based on the first reference data set and the vessel mask;
• determining, based on the first subtraction image, a first seed point corresponding to the second structure;
• determining a first mask by performing, based on the first seed point, a regional growth on the first subtraction image, wherein the first mask is a first skeleton mask and the extracting the second reference data set comprises:
• segmenting the second structure based on the first subtraction image to obtain the first skeleton mask;
• and
• obtaining a second skeleton mask based on the original image and the first skeleton mask, wherein pixels or voxels in the second skeleton mask and data in the second reference data set are bijective;
• and
• obtaining the target data set based on the first mark, the first reference data set, and the second reference data set, the obtaining the target data set comprising:
• obtaining a frame data set based on the first reference data set and the second reference data set, the frame data set being a subset of the target data set, wherein the obtaining the frame data set comprises:
• subtracting the second skeleton mask from a first image to obtain a second subtraction image, wherein pixels or voxels in the second subtraction image and data in the frame data set are bijective;
• and
• performing at least one data supplement operation on the frame data set to obtain the target data set.

A system comprising:

• at least one processor;
• and
• executable instructions that, when executed by the at least one processor, causes the at least one processor to effectuate a method comprising:
• obtaining an original image including a plurality of image data, each of the plurality of image data corresponding to a pixel (or a voxel), the plurality of image data including a target data set, the target data set representing a first structure;
• extracting a first reference data set from the plurality of image data, the first reference data set including the target data set;
• extracting a second reference data set from the plurality of image data;
• obtaining a vessel mask corresponding to the first structure;
• determining a first subtraction image corresponding to the second structure based on the first reference data set and the vessel mask;
• determining, based on the first subtraction image, a first seed point corresponding to the second structure;
• determining a first mask by performing, based on the first eed point, a regional growth on the first subtraction image, wherein the first mask is a first skeleton mask and the extracting the second reference data set comprises:
• segmenting the second structure based on the first subtraction image to obtain the first skeleton mask;
• obtaining a second skeleton mask based on the original image and the first skeleton mask, wherein pixels or voxels in the second skeleton mask and data in the second reference data set are bijective;
• and
• obtaining the target data set based on the first mark, the first reference data set, and the second reference data set, the obtaining the target data set comprising:
• obtaining a frame data set based on the first reference data set and the second reference data set, the frame data set being a subset of the target data set, wherein the obtaining the frame data set comprises:
• subtracting the second skeleton mask from a first image to obtain a second subtraction image wherein pixels or voxels in the second subtraction image and data in the frame data set are bijective;
• and
• performing at least one data supplement operation on the frame data set to obtain the target data set.