Abstract: A method for configuring a stent provides a patient anatomical lumen model and provides a target anatomical lumen model. The method determines a stent strength profile for the stent based on the patient anatomical lumen model and the target anatomical lumen model. The method determines a stent model including an elastomeric body model and a scaffold model based on the stent strength profile. The method then transmits instructions effective to construct the stent using the stent model. The stent has an elastomeric body corresponding to the elastomeric body model and a scaffold, having metallic material, corresponding to the scaffold model.

Abstract: Technologies as described herein are directed towards generating optimized stent designs for treatment of tubular anatomical structures. In an exemplary computing system, the system obtains imaging data comprising images representative of anatomical structures. The system then generates a plurality of models based upon the imaging data. The models are then clustered based upon similar characteristics of the models. Certain fit parameters are applied to the models in each cluster and an optimized stent shape is generated for each cluster, wherein each optimized stent shape is representative of the models within the cluster.

Abstract: A stent design system has a memory device to store a set of instructions which, when executed by a processing device, determine a lumen cross-section of a lumen model. The stent design system determines a center point of the lumen cross-section. The stent design system determines a plurality of surface points of a surface of the lumen cross-section. The stent design system determines an updated center point using a centroid of the plurality of surface points.

Abstract: A method for determining a lumen model determines training data having a plurality of lumen centerlines. The method trains a neural network using the training data. The method determines a voxel data set corresponding to a voxel of a lumen model. The method inputs the voxel data set into the neural network. The method outputs a centerline status for the voxel from the neural network. The method determines a centerline of the lumen model using the centerline status.

Abstract: A method for designing a stent provides a user interface to display a 3D lumen model. The method receives a user input from the user interface indicating a selection of a point of the 3D lumen model. The method determines a 2D cursor position on the user interface corresponding to the selection. The method translates the 2D cursor position to a 3D lumen model position. The method determines a center point of the 3D lumen model based on a proximity to the 3D lumen model position. The method determines a diameter for a sphere based on the center point. The method positions a center of the sphere at the center point.

Abstract: A bronchial stent includes a first branch configured to widen, open, and/or mechanically support a first airway; an obstructive portion that, when the stent is deployed in the first airway, obstructs a second airway, the second airway forming a branching connection with the first airway; and a feature proximal to the obstructive portion, the feature configured to facilitate opening of the obstructive portion.

Abstract: Systems and methods are provided for designing a stent for placement within an airway of a patient. Computer executable instructions are executable by a processor to provide an image segmenter, a graphic user interface, and a model generator. The image segmenter segments at least one image of a region of interest to provide a three-dimensional airway model representing at least a portion of the airway. The graphic user interface prompts a user to select a plurality of locations at an within the airway model and a corresponding plurality of diameters for the plurality of locations. The model generator constructs a stent model from the selected locations and diameters.

Abstract: Methods of treating airway stenosis are provided. Methods include gradually dilating the stenotic region of a patient's airway lumen with sequentially implanted customized airway stents. The airway stents are sequentially implanted until the diameter of the stenotic region of the patient's airway has substantially the same diameter as the diameter of an adjacent healthy region of the patient's airway lumen.

Abstract: Methods of treating airway stenosis are provided. Methods include gradually dilating the stenotic region of a patient's airway lumen with sequentially implanted customized airway stents. The airway stents are sequentially implanted until the diameter of the stenotic region of the patient's airway has substantially the same diameter as the diameter of an adjacent healthy region of the patient's airway lumen.