Abstract: In part, the disclosure relates to intravascular data collection systems and the software-based visualization and display of intravascular data relating to detected side branches and detected stent struts. Levels of stent malapposition can be defined using a user interface such as a slider, toggle, button, field, or other interface to specify how indicia are displayed relative to detected stent struts. In addition, the disclosure relates to methods to automatically provide a two or three-dimensional visualization suitable for assessing side branch and/or guide wire location during stenting. The method can use one or more a computed side branch location, a branch takeoff angle, one or more stent strut locations, and one or more lumen contours.

Abstract: In part, the disclosure relates to intravascular data collections and generation of representations thereof include one or more view of regions associated with side branches or arteries such as a carina or bifurcation. In one embodiment, accessing a set of intravascular data stored in machine readable memory; performing side branch detection with regard to the intravascular data to identify one or more side branches; and identifying a plurality of frames for the one or more side branches is performed. An automatic viewing angle that is toggleable is used in one embodiment.

Abstract: In part, the disclosure relates to method for identifying regions of interest in a blood vessel. The method includes the steps of: providing OCT image data of the blood vessel; applying a plurality of different edge detection filters to the OCT image data to generate a filter response for each edge detection filter; identifying in each edge detection filter response any response maxima; combining the response maxima for each edge detection filter response while maintaining the spatial relationship of the response maxima, to thereby create edge filtered OCT data; and analyzing the edge filtered OCT data to identify a region of interest, the region of interest defined as a local cluster of response maxima. In one embodiment, one or more indicia are positioned in one or more panels to emphasize a reference vessel profile as part of a user interface.

Abstract: In part, the disclosure relates to method for identifying regions of interest in a blood vessel. The method includes the steps of: providing OCT image data of the blood vessel; applying a plurality of different edge detection filters to the OCT image data to generate a filter response for each edge detection filter; identifying in each edge detection filter response any response maxima; combining the response maxima for each edge detection filter response while maintaining the spatial relationship of the response maxima, to thereby create edge filtered OCT data; and analyzing the edge filtered OCT data to identify a region of interest, the region of interest defined as a local cluster of response maxima. In one embodiment, one or more indicia are positioned in one or more panels to emphasize a reference vessel profile as part of a user interface.

Abstract: In part, the disclosure relates to determining a stent deployment location and other parameters using blood vessel data. Stent deployment can be planned such that the amount of blood flow restored from stenting relative to an unstented vessel increases one or more metrics. An end user can specify one or more stent lengths, including a range of stent lengths. In turn, diagnostic tools can generate candidate virtual stents having lengths within the specified range suitable for placement relative to a vessel representation. Blood vessel distance values such as blood vessel diameter, radius, area values, chord values, or other cross-sectional, etc. its length are used to identify stent landing zones. These tools can use or supplement angiography data and/or be co-registered therewith. Optical imaging, ultrasound, angiography or other imaging modalities are used to generate the blood vessel data.

Abstract: In part, the disclosure relates to systems and methods of detecting struts in a blood vessel. In one embodiment, an intravascular data collection system and an intravascular data collection probe are used. An exemplary method may include one or more of the following steps converting an image of a blood vessel into an image mask, the image includes struts of a bioresorbable scaffold; inverting the image mask to create an inverted image mask, detecting an insular group of bright/signal containing pixels; and filtering the insular group of bright/signal containing pixels using one or more morphological filters to identify candidate struts; and validating the candidate struts to identify one or more struts of the bioresorbable scaffold.

Abstract: In part, the disclosure relates to an automated method of branch detection with regard to a blood vessel imaged using an intravascular modality such as OCT, IVUS, or other imaging modalities. In one embodiment, a representation of A-lines and frames generated using an intravascular imaging system is used to identify candidate branches of a blood vessel. One or more operators such as filters can be applied to remove false positives associated with other detections.

Abstract: In part, the disclosure relates to intravascular data collections and generation of representations thereof include one or more view of regions associated with side branches or arteries such as a carina or bifurcation. In one embodiment, accessing a set of intravascular data stored in machine readable memory; performing side branch detection with regard to the intravascular data to identify one or more side branches; and identifying a plurality of frames for the one or more side branches is performed. An automatic viewing angle that is toggleable is used in one embodiment.

Abstract: In part, the disclosure relates to intravascular data collection systems and the software-based visualization and display of intravascular data relating to detected side branches and detected stent struts. Levels of stent malapposition can be defined using a user interface such as a slider, toggle, button, field, or other interface to specify how indicia are displayed relative to detected stent struts. In addition, the disclosure relates to methods to automatically provide a two or three-dimensional visualization suitable for assessing side branch and/or guide wire location during stenting. The method can use one or more a computed side branch location, a branch takeoff angle, one or more stent strut locations, and one or more lumen contours.

Abstract: In part, the disclosure relates to method for identifying regions of interest in a blood vessel. The method includes the steps of: providing OCT image data of the blood vessel; applying a plurality of different edge detection filters to the OCT image data to generate a filter response for each edge detection filter; identifying in each edge detection filter response any response maxima; combining the response maxima for each edge detection filter response while maintaining the spatial relationship of the response maxima, to thereby create edge filtered OCT data; and analyzing the edge filtered OCT data to identify a region of interest, the region of interest defined as a local cluster of response maxima. In one embodiment, one or more indicia are positioned in one or more panels to emphasize a reference vessel profile as part of a user interface.

Abstract: In part, the disclosure relates to computer-based methods, devices, and systems suitable for pre-stent planning, stent planning and post-stent planning using one or more computing devices. In one embodiment, a method generates one or more stent profiles, such as a target stent profile, that are user configurable during a pre-stent planning stage by selecting one or more frames. The method performs a comparative analysis of the previously set target stent profile relative to a vessel lumen region post stent deployment. The method and related user interfaces can alert a user to move, remove, reposition, or inflate a stent. The location of jailed side branches can also be identified and displayed based upon the comparative analysis. Parameters that change based on the outcome of the stent deployment can be displayed in terms of the predicted parameter value and the value that is measured or determined after stent deployment.

Abstract: In part, the invention relates to a method for sizing a stent for placement in a vessel. In one embodiment, the method includes the steps of: dividing the vessel into a plurality of segments, each segment being defined as the space between branches of the vessel; selecting a starting point that appears to have substantially no disease; defining the diameter at this point to be the maximum diameter; calculating the maximal diameter of the next adjacent segment according to a power law; measuring the actual diameter of the next adjacent segment; selecting either the calculated maximum diameter or the measured maximum diameter depending upon which diameter is larger; using the selected maximum diameter to find the maximum diameter of this next segment; iteratively proceeding until the entire length of the vessel is examined; and selecting a stent in response to the diameters of the end proximal and distal segments.

Abstract: A method includes performing an automatic partitioning of Neuro-vessels into a plurality of anatomically relevant circulatory systems using a CT system.

Abstract: A method of identifying one or more occlusions in vasculature located in a region of interest, includes extracting vasculature from the region of interest; identifying a subject geometry of the extracted vasculature; and comparing the subject geometry to a predetermined geometry to identify a blockage. A device for identifying one or more occlusions in vasculature located in a region of interest is also presented.

Abstract: A technique for producing a three-dimensional segmented image of blood vessels and automatically labeling the blood vessels. A scanned image of the head is obtained and an algorithm is used to segment the blood vessel image data from the image data of other tissues in the image. An algorithm is used to partition the blood vessel image data into sub-volumes that are then used to designate the root ends and the endpoints of major arteries. An algorithm is used to identify a seed-point voxel in one of the blood vessels within one of the sub-volume of the partition. Other voxels are then coded based on their geodesic distance from the seed-point voxel. An algorithm is used to identify endpoints of the arteries. This algorithm may also be used in the other sub-volumes to locate the starting points and endpoints of other blood vessels. One sub-volume is further sub-divided into left and right, anterior, medial, and posterior zones.

Abstract: A method for automatic detection of obstructions in vasculature in an anatomical region is presented. The method includes partitioning the anatomical region into a plurality of sub-regions based at least in part on anatomical knowledge. Further, the method includes adaptively computing a threshold intensity value corresponding to each of the plurality of sub-regions. Additionally, the method includes extracting the vasculature in each of the plurality of sub-regions based on the corresponding computed threshold intensity value, where the extracted vasculature comprises a plurality of vessel segments. The method also includes detecting an obstruction in the extracted vasculature. Systems and computer-readable medium that afford functionality of the type defined by this method is also contemplated in conjunction with the present technique.

Abstract: A method of identifying one or more occlusions in vasculature located in a region of interest, includes extracting vasculature from the region of interest; identifying a subject geometry of the extracted vasculature; and comparing the subject geometry to a predetermined geometry to identify a blockage. A device for identifying one or more occlusions in vasculature located in a region of interest is also presented.

Abstract: A technique for producing a three-dimensional segmented image of blood vessels and automatically labeling the blood vessels. A scanned image of the head is obtained and an algorithm is used to segment the blood vessel image data from the image data of other tissues in the image. An algorithm is used to partition the blood vessel image data into sub-volumes that are then used to designate the root ends and the endpoints of major arteries. An algorithm is used to identify a seed-point voxel in one of the blood vessels within one of the sub-volume of the partition. Other voxels are then coded based on their geodesic distance from the seed-point voxel. An algorithm is used to identify endpoints of the arteries. This algorithm may also be used in the other sub-volumes to locate the starting points and endpoints of other blood vessels. One sub-volume is further sub-divided into left and right, anterior, medial, and posterior zones.

Abstract: A method includes performing an automatic partitioning of Neuro-vessels into a plurality of anatomically relevant circulatory systems using a CT system.