Abstract: The present disclosure provides systems and methods to receiving OCT or IVUS image data frames to output one or more representations of a blood vessel segment. The image data frames may be stretched and/or aligned using various windows or bins or alignment features. Arterial features, such as the calcium burden, may be detected in each of the image data frames. The arterial features may be scored. The score may be a stent under-expansion risk. The representation may include an indication of the arterial features and their respective score. The indication may be a color coded indication.

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 side branch obstruction. An estimate of side branch diameter can be made based on a vessel profile or a maximum diameter of a vessel at a distal and proximal location relative to the side branch. A amount of side branch obstruction may be determined by comparing an observed side branch diameter with in the image data with the estimated side branch diameter. In addition, an amount of blood flow obstruction may also be determined.

Abstract: In part, the disclosure relates to systems and methods to assess stent/scaffold expansion in a vessel on an expedited time scale after stent/scaffold placement and expansion. In one embodiment, the method generates a first representation of a stented segment of the blood vessel indicative of a level of stent expansion; determines using the detected stent struts, a first end of the stent and a second end of the stent; and generate a second representation of the segment of the blood vessel by interpolating a lumen profile using an offset distance from the first end and the second end.

Abstract: In part, the disclosure relates to computer-based methods, and systems suitable for evaluating a subject to determine the appropriate diagnostic tools for assessing coronary arteries. This can include assessing various blood pressure values during a resting state (without inducing hyperemia). These systems and methods can assess a patient and identify coronary dominance on per patient basis. In turn, this assessment can be used to recommend whether a resting index is appropriate or if another index such as FFR or others such be obtained diagnostic metric such as a pressure value-based ratio.

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 disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.

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 methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.

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: Aspects of the disclosure relate to the combination and display of both live and non-live patient images. The features described include collecting angiographic image data, and correlating angiographic image frames to time-varying data relating to the patient's heart cycle. This time-varying data may then be compared with the patient's live heart cycle data so that the collected angiographic image frames can be interlaced within a display of live fluoroscopic images of the patient.

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: The present disclosure provides systems and methods to receiving OCT or IVUS image data frames to output one or more representations of a blood vessel segment. The image data frames may be stretched and/or aligned using various windows or bins or alignment features. Arterial features, such as the calcium burden, may be detected in each of the image data frames. The arterial features may be scored. The score may be a stent under-expansion risk. The representation may include an indication of the arterial features and their respective score. The indication may be a color coded indication.

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 of displaying a representation of an artery. The method may include storing an intravascular image dataset in a memory device of a diagnostic imaging system, the intravascular image dataset generated in response to intravascular imaging of a segment of an artery; automatically detecting lumen boundary of the segment on a per frame basis; automatically detecting EEL and displaying a stent sizing workflow. In part, the disclosure also relates to automatically detecting one or more regions of calcium relative to lumen boundary of the segment; calculating an angular or circumferential measurement of detected calcium for one or more frames; calculating a calcium thickness of detected calcium for one or more frames; and displaying the calcium thickness and the angular or circumferential measurement of detected calcium for a first frame of the one or more frames.

Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.

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 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 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 systems and methods to assess stent/scaffold expansion in a vessel on an expedited time scale after stent/scaffold placement and expansion. In one embodiment, the method generates a first representation of a stented segment of the blood vessel indicative of a level of stent expansion; determines using the detected stent struts, a first end of the stent and a second end of the stent; and generate a second representation of the segment of the blood vessel by interpolating a lumen profile using an offset distance from the first end and the second end.