Image-based view-angle independent cardiorespiratory motion gating for x-ray-guided interventional electrophysiology procedures

Maria Panayiotou, Andrew P King, R James Housden, YingLiang Ma, Michael Truong, Michael Cooklin, Mark O'Neill, Jaswinder S. Gill, C Aldo Rinaldi, Kawal S Rhode

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

3 Citations (Scopus)

Abstract

Cardiorespiratory phase determination has numerous applications during cardiac imaging. We propose a novel view-angle independent prospective cardiorespiratory motion gating technique for X-ray fluoroscopy images that are used to guide cardiac electrophysiology procedures. The method is based on learning coronary sinus catheter motion using principal component analysis and then applying the derived motion model to unseen images taken at arbitrary projections. We validated our technique on 7 sequential biplane sequences in normal and very low dose scenarios and on 5 rotational sequences in normal dose. For the normal dose images we established average systole, end-inspiration and end-expiration gating success rates of 100 %, 97.4 % and 95.2 %, respectively. For very low dose applications, the method was tested on images with added noise. Average gating success rates were 93.4%.
Original languageEnglish
Title of host publicationStatistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges.
Subtitle of host publicationMICCAI 2014
PublisherSpringer, Cham
ISBN (Electronic)978-3-319-14678-2
ISBN (Print)978-3-319-14677-5
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event10th Workshop on Statistical Atlases and Computational Modelling of the Heart - Shenzhen, China
Duration: 13 Oct 201913 Oct 2019

Workshop

Workshop10th Workshop on Statistical Atlases and Computational Modelling of the Heart
Abbreviated titleSTACOM 2019
CountryChina
CityShenzhen
Period13/10/1913/10/19

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