Hybrid electromagnetic-ArUco tracking of laparoscopic ultrasound transducer in laparoscopic video
Xinyang Liu, William Plishker, Raj Shekhar
Abstract
The new hybrid method is more reliable than using ArUco tracking alone and more accurate and practical than using EM tracking alone for tracking the LUS transducer in the laparoscope camera image. The proposed method has the potential to significantly improve tracking performance for LUS-based augmented reality applications.
Topics & Concepts
Tracking (education)Computer visionArtificial intelligenceTracking systemImaging phantomMedicineTransducerVideo trackingPixelComputer scienceAcousticsKalman filterNuclear medicineVideo processingPedagogyPhysicsPsychologySurgical Simulation and TrainingUltrasound Imaging and ElastographyAugmented Reality Applications