Abstract: The present disclosure provides to process intravascular ultrasound (IVUS) images to identify key frames such as the proximal key frame, a distal key frame, and a minimal key frame from the IVUS images based on the raw lumen area, vessel area, and plaque burden. Ones of the key frames can be re-identified based on manipulation of other ones of the key frames.

Abstract: The present disclosure provides a graphical user interface (GUI) arranged to convey information related to the IVUS images and lesion assessment and provide for the user to manipulate the information. The GUIs can be generated to include a cross-section view without assessments post recording of IVUS images and to depict assessments after navigation through frames of the IVUS images.

Abstract: Embodiments herein relate to intravascular imaging display systems and related methods. In an embodiment, an intravascular imaging display system is included having a control circuit and a video output circuit. The video output circuit can be configured to generate a display output including a user interface. The user interface can include graphical elements related to a vessel being imaged. The graphical elements can include a first detected feature portion at least partially defined by a first graphic indicator and a second detected feature portion at least partially defined by a second graphic indicator. The first graphic indicator can be visually distinct from the second graphic indicator. The first detected feature portion and the second detected feature portion can be assigned to represent one or more locations along a vessel wall by the control circuit based on a degree of attenuation of an ultrasound return signal crossing a threshold value.

Abstract: Systems and methods for automatic lesion assessment and/or processing imaging data are disclosed. An example intravascular imaging system may include a catheter including an imaging device. A processor may be coupled to the catheter. The processor may be configured to process imaging data received from the imaging device. The processor may be configured to generate a longitudinal section view of a blood vessel from the imaging data received from the imaging device. The processor may be configured to identify a minimum lumen area along the longitudinal section view of the blood vessel, a distal reference point, and a proximal reference. A display unit may be coupled to the processor. The display unit may be configured to show a display including the longitudinal section view of the blood vessel.

Abstract: A computer-implemented system and method distilling three-dimensional structure to a two-dimensional raster with multiple discrete planes for purposes of safe and accurate route planning including a map generator (100), pixel encoder (102), map transformer (106), and route generator (108). The map generator (100) generates a raster map by populating a blank map canvas with raster and vector data on a per-pixel basis and obtains values for pixels from the pixel encoder (102). The pixel encoder (102) encodes type, plane, and elevator information of features into pixels. The map transformer (106) converts the map produced by the map generator (100) into a weighted graph of nodes and edges suitable for route generation. The route generator (108) generates routes using the graph produced by the map transformer (106).

Abstract: A computer-implemented system and method distilling three-dimensional structure to a two-dimensional raster with multiple discrete planes for purposes of safe and accurate route planning including a map generator (100), pixel encoder (102), map transformer (106), and route generator (108). The map generator (100) generates a raster map by populating a blank map canvas with raster and vector data on a per-pixel basis and obtains values for pixels from the pixel encoder (102). The pixel encoder (102) encodes type, plane, and elevator information of features into pixels. The map transformer (106) converts the map produced by the map generator (100) into a weighted graph of nodes and edges suitable for route generation. The route generator (108) generates routes using the graph produced by the map transformer (106).