Atlas-based quantification of myocardial motion abnormalities: added-value for the understanding of CRT outcome?

  • Authors:
  • Nicolas Duchateau;Mathieu De Craene;Gemma Piella;Corné Hoogendoorn;Etelvino Silva;Adelina Doltra;Lluís Mont;Ma Angeles Castel;Josep Brugada;Marta Sitges;Alejandro F. Frangi

  • Affiliations:
  • CISTIB, Universitat Pompeu Fabra, CIBER-BBN, Barcelona, Spain;CISTIB, Universitat Pompeu Fabra, CIBER-BBN, Barcelona, Spain;CISTIB, Universitat Pompeu Fabra, CIBER-BBN, Barcelona, Spain;CISTIB, Universitat Pompeu Fabra, CIBER-BBN, Barcelona, Spain;Hospital Clínic, IDIBAPS, Universitat de Barcelona, Spain;Hospital Clínic, IDIBAPS, Universitat de Barcelona, Spain;Hospital Clínic, IDIBAPS, Universitat de Barcelona, Spain;Hospital Clínic, IDIBAPS, Universitat de Barcelona, Spain;Hospital Clínic, IDIBAPS, Universitat de Barcelona, Spain;Hospital Clínic, IDIBAPS, Universitat de Barcelona, Spain;CISTIB, Universitat Pompeu Fabra, CIBER-BBN, Barcelona, Spain, ICREA, Barcelona, Spain

  • Venue:
  • STACOM'10/CESC'10 Proceedings of the First international conference on Statistical atlases and computational models of the heart, and international conference on Cardiac electrophysiological simulation challenge
  • Year:
  • 2010

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Abstract

In this paper, we present the use of atlas-based indexes of abnormality for the quantification of cardiac resynchronization therapy (CRT) outcome in terms of motion. We build an atlas of normal motion from 21 healthy volunteers to which we compare 88 CRT candidates before and after the therapy. Abnormal motion is quantified locally in time and space using a statistical distance to normality, and changes induced by the therapy are related with clinical measurements of CRT outcome. Results correlate with recent clinical hypothesis about CRT response, namely that the correction of specific mechanisms responsible for cardiac dyssynchrony conditions the response to the therapy.