Methods and systems for image segmentation

A system for image segmentation, comprising:

• a lung segmentation module configured to obtain a target image relating to a lung region and segment the lung region in the target image;
• an airway identification module configured to identify an airway structure relating to the lung region;
• a fissure segmentation module configured to identify one or more fissures in the lung region;
• and
• a pulmonary lobe segmentation module configured to determine one or more pulmonary lobes based on the airway structure and the one or more fissures, wherein to identify one or more fissures in the lung region, the system is directed to:
• identify a plurality of candidate fissures in the lung region;
• sort at least a part of the plurality of candidate fissures based on a sorting algorithm;
• determine a plurality of values, each of the plurality of values corresponding to one candidate fissure of the plurality of candidate fissures, wherein the plurality of values includes a plurality of normal directions corresponding to the plurality of candidate fissures;
• classify the plurality of candidate fissures into at least two groups based on the plurality of values;
• and
• merge candidate fissures belonging to a same group.

A non-transitory computer readable medium, storing instructions, the instructions when executed by a processor, causing the processor to execute operations comprising:

• obtaining a target image relating to a lung region, the target image including a plurality of image slices;
• segmenting the lung region from the target image;
• identifying an airway structure relating to the lung region;
• identifying one or more fissures in the lung region;
• and
• determining, based on the airway structure and the one or more fissures, one or more pulmonary lobes in the lung region, wherein the identifying one or more fissures in the lung region comprises:
• identifying a plurality of candidate fissures in the lung region;
• sorting at least a part of the plurality of candidate fissures based on a sorting algorithm;
• determining a plurality of values, each of the plurality of values corresponding to one candidate fissure of the plurality of candidate fissures, wherein the plurality of values includes a plurality of normal directions corresponding to the plurality of candidate fissures;
• classifying, based on the plurality of values, the plurality of candidate fissures into at least two groups;
• and
• merging candidate fissures belonging to a same group.