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: The disclosure relates to stent detection and shadow detection in the context of intravascular data sets obtained using a probe such as, for example, and optical coherence tomography probe or an intravascular ultrasound probe.

Abstract: In part, the invention relates to processing, tracking and registering angiography images and elements in such images relative to images from an intravascular imaging modality such as, for example, optical coherence tomography (OCT). Registration between such imaging modalities is facilitated by tracking of a marker of the intravascular imaging probe performed on the angiography images obtained during a pullback. Further, detecting and tracking vessel centerlines is used to perform a continuous registration between OCT and angiography images in one embodiment.

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 one aspect, the invention relates to system comprising: a processor configured to receive a first optical coherence tomography (OCT) data set obtained during a pullback of a data collection probe along a first length of a first blood vessel; determine a minimum lumen area disposed along the first length using the first OCT data set; and determine a first FFR value along the first length based on the minimum lumen area. In one embodiment, the first FFR value is an estimated FFR. In another aspect, the invention relates to a method that includes measuring, using OCT, the area of a lumen of a vessel for which the vessel's FFR is to be determined; and calculating, using a computer, A2m/(A2m+k) or YA2min/(YA2min+k) as a FFR value. In one embodiment, k is about 0.7 mm2 and ? is patient-specific variable that depends on the coronary branch in which the images were obtained.

Abstract: In part, the disclosure relates to computer-based methods, devices, and systems suitable for detecting a delivery catheter using intravascular data. In one embodiment, the delivery catheter is used to position the intravascular data collection probe. The probe can collect data suitable for generating one or more representations of a blood vessel with respect to which the delivery catheter can be detected.

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 invention relates to systems and methods of calibrating a plurality of frames generated with respect to a blood vessel as a result of a pullback of an intravascular imaging probe being pullback through the vessel. A calibration feature disposed in the frames that changes between a subset of the frames can be used to perform calibration. Calibration can be performed post-pullback. Various filters and image processing techniques can be used to identify one or more feature in the frames including, without limitation, a calibration feature, a guidewire, a side branch, a stent strut, a lumen of the blood vessel, and other features. The feature can be displayed using a graphic user interface.

Abstract: In part, the disclosure relates to methods of guidewire detection in intravascular data sets such as scan lines, frames, images and combinations thereof. Methods of generating one or more indicia of a guidewire in a representation of blood vessel are also features of the disclosure. A carpet view is generated in one embodiment and regions of relatively higher contrast are detected as candidate guidewire regions. In one embodiment, the disclosure relates to selective removal of guidewire segments from a set of intravascular data and the display of a representation of a blood vessel via a user interface. Representations of a guidewire can be toggled on and off in one embodiment.

Abstract: A method and apparatus of automatically locating in an image of a blood vessel the lumen boundary at a position in the vessel and from that measuring the diameter of the vessel. From the diameter of the vessel and estimated blood flow rate, a number of clinically significant physiological parameters are then determined and various user displays of interest generated. One use of these images and parameters is to aid the clinician in the placement of a stent. The system, in one embodiment, uses these measurements to allow the clinician to simulate the placement of a stent and to determine the effect of the placement. In addition, from these patient parameters various patient treatments are then performed.

Abstract: In part, the disclosure relates to systems for imaging a blood vessel using intravascular image data and extravascular image data and methods to calibrate such systems. In one embodiment, multiple calibration trials are performed to determine a plurality of time lag values. A minimum time lag value is used to align intravascular image data and extravascular time lag data in one embodiment.

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: An optical coherence tomography system and method with integrated pressure measurement. In one embodiment the system includes an interferometer including: a wavelength swept laser; a source arm in communication with the wavelength swept laser; a reference arm in communication with a reference reflector, a first photodetector having a signal output; a detector arm in communication with the first photodetector, a probe interlace; a sample arm in communication with a first optical connector of the probe interface; an acquisition and display system comprising: an A/D converter having a signal input in communication with the first photodetector signal output and a signal output; a processor system in communication with the A/D converter signal output; and a display in communication with the processor system; and a probe comprising a pressure sensor and configured for connection to the first optical connector of the probe interface, wherein the pressure transducer comprises an optical pressure transducer.

Abstract: In part, the disclosure relates to shadow detection and shadow validation relative to data sets obtained from an intravascular imaging data collection session. The methods can use locally adaptive thresholds and scan line level analysis relative to candidate shadow regions to determine a set of candidate shadows for validation or rejection. In one embodiment, the shadows are stent strut shadows, guidewire shadows, side branch shadows or other shadows.

Abstract: In part, the disclosure relates to methods of stent strut detection relative to a side branch region using intravascular data. In one embodiment, detecting stent struts relative to jailed side branches is performed using a scan line-based peak analysis. In one embodiment, false positive determinations relating to stent struts are analyzed using a model strut.

Abstract: The disclosure relates generally to the field of vascular system and peripheral vascular system data collection, imaging, image processing and feature detection relating thereto. In part, the disclosure more specifically relates to methods for detecting position and size of contrast cloud in an x-ray image including with respect to a sequence of x-ray images during intravascular imaging. Methods of detecting and extracting metallic wires from x-ray images are also described herein such as guidewires used in coronary procedures. Further, methods for of registering vascular trees for one or more images, such as in sequences of x-ray images, are disclosed. In part, the disclosure relates to processing, tracking and registering angiography images and elements in such images. The registration can be performed relative to images from an intravascular imaging modality such as, for example, optical coherence tomography (OCT) or intravascular ultrasound (IVUS).

Abstract: The disclosure relates, in part, to computer-based visualization of stent position within a blood vessel. A stent can be visualized using intravascular data and subsequently displayed as stent struts or portions of a stent as a part of a one or more graphic user interface(s) (GUI). In one embodiment, the method includes steps to distinguish stented region(s) from background noise using an amalgamation of angular stent strut information for a given neighborhood of frames. The GUI can include views of a blood vessel generated using distance measurements and demarcating the actual stented region(s), which provides visualization of the stented region. The disclosure also relates to display of intravascular diagnostic information such as indicators. An indicator can be generated and displayed with images generated using an intravascular data collection system. The indicators can include one or more viewable graphical elements suitable for indicating diagnostic information such as stent information.

Abstract: The disclosure relates generally to the field of vascular system and peripheral vascular system data collection, imaging, image processing and feature detection relating thereto. In part, the disclosure more specifically relates to methods for detecting position and size of contrast cloud in an x-ray image including with respect to a sequence of x-ray images during intravascular imaging. Methods of detecting and extracting metallic wires from x-ray images are also described herein such as guidewires used in coronary procedures. Further, methods for of registering vascular trees for one or more images, such as in sequences of x-ray images, are disclosed. In part, the disclosure relates to processing, tracking and registering angiography images and elements in such images. The registration can be performed relative to images from an intravascular imaging modality such as, for example, optical coherence tomography (OCT) or intravascular ultrasound (IVUS).