Enhanced stock stents based on population modeling of tubular anatomical structures

A method, the method comprising:

• obtaining imaging data, wherein the imaging data comprises a plurality of images captured from a patient population;
• generating a plurality of anatomical tubular structure models, wherein the anatomical tubular structure models are based upon the imaging data;
• for at least a subset of the plurality of anatomical tubular structure models, determining a centerline for at least a portion of a tubular structure depicted within the subset of the plurality of anatomical tubular structure models;
• determining one or more tubular structure characteristics for the subset of the plurality of anatomical tubular structure models, wherein the one or more tubular structure characteristics are based upon the centerline;
• clustering the subset of the plurality of anatomical tubular structure models into at least a first cluster and a second cluster;
• determining one or more stent fit parameters for anatomical tubular structure models in the first cluster and one or more stent fit parameters for anatomical tubular structure models in the second cluster;
• and
• generating a first stent shape corresponding to the first cluster and a second stent shape corresponding to the second cluster.

A non-transitory computer-readable storage medium comprising instructions that, when executed by a processor, cause the processor to perform acts comprising:

• obtaining imaging data, wherein the imaging data comprises a plurality of images captured from a patient population;
• generating a plurality of airway models, wherein the airway models are based upon the imaging data;
• for at least a subset of the plurality of airway models, determining a centerline for at least one airway depicted within each airway model within the subset of the plurality of airway models;
• determining one or more airway characteristics for the subset of the plurality of airway models based upon the determined centerlines;
• clustering the subset of the plurality of airway models based upon the one or more airway characteristics, wherein a first portion of the subset of the plurality of airway models is clustered into a first cluster and a second portion of the subset of the plurality of airway models is clustered into a second cluster;
• determining one or more stent fit parameters for the plurality of airway models in the first cluster and the second cluster;
• and
• generating a first stent shape corresponding to the first cluster and a second stent shape corresponding to the second cluster.