Systems and methods for image processing

An image processing system, comprising:

• at least one processor, and
• a storage configured to store instructions, the instructions, when executed by the at least one processor, causing the system to effectuate a method, the method comprising:
• acquiring an image including a region of interest (ROI), the ROI having a first margin, the ROI including a subregion, the subregion having a second margin;
• acquiring a first model according to the ROI, the first model having a third margin;
• determining, based on the first margin and the third margin, a second model by matching the first model with the image, the second model including a sub-model, the sub-model having a fourth margin;
• determining, based on the second margin, a third model by adjusting the fourth margin of the sub-model of the second model;
• segmenting the ROI according to the third model;
• and
• generating a segmented ROI based on a result of the segmentation.

A non-transitory computer readable medium storing instructions, the instructions, when executed by at least one processor;

• causing the at least one processor to implement a method comprising:
• acquiring an image including a region of interest ROI), the ROI having a first margin;
• the ROI including a subregion, the subregion having a second margin;
• acquiring a first model according to the ROI, the first model having a third margin;
• determining, based on the first margin and the third margin, a second model by matching the first model with the image, the second model including a sub-model, the sub-model having a fourth margin;
• determining, based on the second margin, a third model by adjusting the fourth margin of the sub-model of the second model;
• segmenting the ROI according to the third model;
• and
• generating a segmented ROI based on a result of the segmentation.