| abstract |
The present disclosure relates, in part, to evaluating image data from a patient in real-time or substantially real-time using machine learning (ML) methods and systems suitable for use. Systems and methods using machine learning techniques to improve diagnostic tools for end users (eg, cardiologists and imaging specialists) are applied to specific problems associated with intravascular images with polar representations. Further, if a rotating probe is used to obtain OCT, IVUS image data, or other imaging data, processing the two coordinate systems associated therewith presents a challenge. The present disclosure focuses on these and various other challenges associated with addressing rapid patient imaging and diagnosis so that stenting and other procedures can be performed in a single session in the cath lab. |