Lightlab Imaging, Inc.

Cytyc Corporation

Christopher E Griffin

Sonal Ambwani

James G Peterson

Satish Kaveti

Joel M Friedman

Desmond Christopher Adler

Ajay Gopinath

Denis Dion

Stephanie Griffin

Ashley Netravali

Lingfa Yang

Desmond Adler

Aspects of the disclosure relate to the identification of when a blood vessel has been sufficiently cleared of blood so as to capture intravascular images of the vessel wall. The disclosed systems and methods allow for the identification of an initial and a final blood clearing based on the identification of edges within scanlines of a plurality of image frames. The edges of a plurality of scanlines may be analyzed to determine an average edge offset for each image frame, and the average edge offsets for a plurality of image frames may be averaged over various time-windows, so as to determine when the initial and final blood clearing events have occurred. Once a final blood clearing event has been identified, the disclosed system may automatically initiate a catheter pullback procedure, so as to capture intravascular images over a length of the vessel that has been sufficiently cleared of blood.

Systems and methods for an automatic pullback trigger

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.

Intravascular imaging and guide catheter detection methods and systems

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.

Intravascular data visualization and interface systems and methods

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.

Stent detection methods and imaging system interfaces

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.

Detection of metal stent struts

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.

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.

Guidewire detection systems, methods, and apparatuses

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.

Growing community of inventors

Wilton, NH, United States of America

Christopher E Griffin