Extraction of cardiac and respiratory motion information from cardiac x-ray fluoroscopy images using hierarchical manifold learning

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

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

Abstract

We present a novel and clinically useful method to automatically determine the regions that carry cardiac and respiratory motion information directly from standard mono-plane X-ray fluoroscopy images. We demonstrate the application of our method for the purposes of retrospective cardiac and respiratory gating of X-ray images. Validation is performed on five mono-plane imaging sequences comprising a total of 284 frames from five patients undergoing radiofrequency ablation for the treatment of atrial fibrillation. We established end-inspiration, end-expiration and systolic gating with success rates of 100%, 100% and 95.3%, respectively. This technique is useful for retrospective gating of X-ray images and, unlike many previously proposed techniques, does not require specific catheters to be visible and works without any knowledge of catheter geometry.
Original languageEnglish
Title of host publicationInternational Workshop on Statistical Atlases and Computational Models of the Heart
EditorsOscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Maxime Sermesant, Alistair Young
PublisherSpringer Verlag
Pages126-134
Number of pages9
ISBN (Electronic)978-3-642-54268-8
ISBN (Print)978-3-642-54267-1
DOIs
Publication statusPublished - 2013
EventInternational Workshop on Statistical Atlases and Computational Models of the Heart - Nagoya, Japan
Duration: 26 Sep 201326 Sep 2013

Publication series

Name Lecture Notes in Computer Science
PublisherSpringer
Volume8330

Conference

ConferenceInternational Workshop on Statistical Atlases and Computational Models of the Heart
Abbreviated titleSTACOM 2013
CountryJapan
City Nagoya
Period26/09/1326/09/13

Keywords

  • Respiratory Motion
  • Respiratory Gating
  • Manifold Learning
  • Respiratory Phase
  • Cardiac Gating

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