Method and system for catheter tracking in fluoroscopic images using adaptive discriminant learning and measurement fusion

摘要

A method and system for adaptive discriminant learning and measurement fusion for image based catheter tracking is disclosed. An adaptive discriminant model is trained online based on a tracked object, such as a pigtail catheter tip, in at least one previous frame of a fluoroscopic image sequence. The object is tracked in the current frame of the fluoroscopic image sequence based at least on the adaptive discriminant model trained online. The object may be tracked in the current frame based on a fusion of three types of measurement models including the adaptive discriminant model trained online, an object detection model trained offline, and an online appearance model.

主权项

1. A method for tracking an object in a sequence of fluoroscopic images, comprising:
training an adaptive discriminant model online based on a tracked object in at least one previous frame of the fluoroscopic image sequence; and tracking the object in a current frame of the fluoroscopic image sequence based at least on the adaptive discriminant model trained online, wherein tracking the object in a current frame of the fluoroscopic image sequence based at least on the adaptive discriminant model trained online comprises:
tracking the object in the current frame using an overall measurement model that is a fusion of the adaptive discriminant model trained online, an object detection model trained offline, and an online appearance model.