Literature DB >> 26158110

Parametric ultrasound and fluoroscopy image fusion for guidance of left ventricle lead placement in cardiac resynchronization therapy.

Aleksandar Babic1, Hans Henrik Odland2, Olivier Gérard3, Eigil Samset1.   

Abstract

Recent studies show that the response rate to cardiac resynchronization therapy (CRT) could be improved if the left ventricle (LV) is paced at the site of the latest mechanical activation, but away from the myocardial scar. A prototype system for CRT lead placement guidance that combines LV functional information from ultrasound with live x-ray fluoroscopy was developed. Two mean anatomical models, each containing LV epi-, LV endo- and right ventricle endocardial surfaces, were computed from a database of 33 heart failure patients as a substitute for a patient-specific model. The sphericity index was used to divide the observed population into two groups. The distance between the mean and the patient-specific models was determined using a signed distance field metric (reported in mm). The average error values for LV epicardium were [Formula: see text] and for LV endocardium were [Formula: see text]. The validity of using average LV models for a CRT procedure was tested by simulating coronary vein selection in a group of 15 CRT candidates. The probability of selecting the same coronary branch, when basing the selection on the average model compared to a patient-specific model, was estimated to be [Formula: see text]. This was found to be clinically acceptable.

Entities:  

Keywords:  cardiac modelling; cardiac resynchronization therapy; echocardiography; image fusion; strain imaging

Year:  2015        PMID: 26158110      PMCID: PMC4478843          DOI: 10.1117/1.JMI.2.2.025001

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  23 in total

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2.  Echocardiographic strain and strain-rate imaging: a new tool to study regional myocardial function.

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Review 3.  NON-invasive imaging: Two dimensional speckle tracking echocardiography: basic principles.

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Review 4.  Understanding nonresponders of cardiac resynchronization therapy--current and future perspectives.

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Journal:  J Cardiovasc Electrophysiol       Date:  2005-10

5.  Registration of three-dimensional left atrial computed tomographic images with projection images obtained using fluoroscopy.

Authors:  Jasbir Sra; David Krum; Angela Malloy; Melissa Vass; Barry Belanger; Elisabeth Soubelet; Regis Vaillant; Masood Akhtar
Journal:  Circulation       Date:  2005-12-13       Impact factor: 29.690

Review 6.  3D distance fields: a survey of techniques and applications.

Authors:  Mark W Jones; J Andreas Baerentzen; Milos Sramek
Journal:  IEEE Trans Vis Comput Graph       Date:  2006 Jul-Aug       Impact factor: 4.579

7.  Integration of mechanical, structural and electrical imaging to understand response to cardiac resynchronization therapy.

Authors:  Etelvino Silva; Bart Bijnens; Antonio Berruezo; Lluis Mont; Adelina Doltra; David Andreu; Josep Brugada; Marta Sitges
Journal:  Rev Esp Cardiol (Engl Ed)       Date:  2014-04-06

8.  Comparison between different speckle tracking and color tissue Doppler techniques to measure global and regional myocardial deformation in children.

Authors:  Laurens P Koopman; Cameron Slorach; Wei Hui; Cedric Manlhiot; Brian W McCrindle; Mark K Friedberg; Edgar T Jaeggi; Luc Mertens
Journal:  J Am Soc Echocardiogr       Date:  2010-07-23       Impact factor: 5.251

9.  The effect of cardiac resynchronization on morbidity and mortality in heart failure.

Authors:  John G F Cleland; Jean-Claude Daubert; Erland Erdmann; Nick Freemantle; Daniel Gras; Lukas Kappenberger; Luigi Tavazzi
Journal:  N Engl J Med       Date:  2005-03-07       Impact factor: 91.245

10.  Apical transverse motion as surrogate parameter to determine regional left ventricular function inhomogeneities: a new, integrative approach to left ventricular asynchrony assessment.

Authors:  Jens-Uwe Voigt; Thomas-Michael Schneider; Stephan Korder; Mariola Szulik; Emre Gürel; Werner G Daniel; Frank Rademakers; Frank A Flachskampf
Journal:  Eur Heart J       Date:  2009-03-18       Impact factor: 29.983

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  1 in total

1.  Signal dropout correction-based ultrasound segmentation for diastolic mitral valve modeling.

Authors:  Wenyao Xia; John Moore; Elvis C S Chen; Yuanwei Xu; Olivia Ginty; Daniel Bainbridge; Terry M Peters
Journal:  J Med Imaging (Bellingham)       Date:  2018-02-09
  1 in total

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