Towards automated ultrasound transesophageal echocardiography and X-ray fluoroscopy fusion using an image-based co-registration method

Abstract

Transesophageal Echocardiography (TEE) and X-Ray fluoroscopy are two routinely used real-time image guidance modalities for interventional procedures,and co-registering them into the same coordinate system enables advanced hybrid image guidance by providing augmented and complimentary information. In this paper,we present an image-based system of co-registering these two modalities through realtime tracking of the 3D position and orientation of a moving TEE probe from 2D fluoroscopy images. The 3D pose of the TEE probe is estimated fully automatically using a detection based visual tracking algorithm,followed by intensity-based 3D-to-2D registration refinement. In addition,to provide high reliability for clinical use,the proposed system can automatically recover from tracking failures. The system is validated on over 1900 fluoroscopic images from clinical trial studies,and achieves a success rate of 93.4% at 2D target registration error (TRE) less than 2.5mm and an average TRE of 0.86 mm,demonstrating high accuracy and robustness when dealing with poor image quality caused by low radiation dose and pose ambiguity caused by probe self-symmetry.