Dynamic coronary roadmapping via catheter tip tracking in X-ray fluoroscopy with deep learning based Bayesian filtering

Author:

Ma Hua,Smal Ihor,Daemen Joost,Walsum Theo van

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference50 articles.

1. Fully automatic and real-time catheter segmentation in X-ray fluoroscopy;Ambrosini,2017

2. A hidden markov model for 3D catheter tip tracking with 2D X-ray catheterization sequence and 3D rotational angiography;Ambrosini;IEEE Trans. Med. Imaging,2017

3. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking;Arulampalam;IEEE Trans. Signal Process.,2002

4. Respiratory motion estimation in X-ray angiography for improved guidance during coronary interventions;Baka;Phys. Med. Biol.,2015

5. Cathnets: detection and single-view depth prediction of catheter electrodes;Baur,2016

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