Abstract

Cardiac resynchronization therapy (CRT) proved success-ful in larger patient populations. However, individualresponsiveness to CRT is not yet highly predictable.Around 30% of patients do not appear to benefit fromCRT [1]. Accurate measurement of dyssynchrony couldhelp in discriminating CRT responders from non-responders. Individual responsiveness of patients couldbe improved with the knowledge of temporally resolved,regional motion patterns. The acquisition of multi-sliceMR tagging data [2] covering the whole heart in short- andlong axis orientations is associated with long acquisitiontimes and prone to slice misregistration. A novel acceler-ated 3D tagging acquisition scheme [3,4] allows assessingdetailed 3D motion patterns of the entire left ventricle(LV) in only three breath-holds. Accordingly, the methodis easily integrated into a clinical protocol including volu-metric, perfusion and viability measurements.The 3D tagging technique was applied to quantify LV dys-synchrony in patients with sub-acute myocardial infarc-tions as a model causing dyssynchrony relative to healthycontrols. Features of three-dimensional motion patternswere correlated with the presence of scar tissue as meas-ured with late enhancement images.

Highlights

  • Cardiac resynchronization therapy (CRT) proved successful in larger patient populations

  • Around 30% of patients do not appear to benefit from CRT [1]

  • Individual responsiveness of patients could be improved with the knowledge of temporally resolved, regional motion patterns

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Summary

Introduction

Cardiac resynchronization therapy (CRT) proved successful in larger patient populations. Individual responsiveness to CRT is not yet highly predictable. Around 30% of patients do not appear to benefit from CRT [1]. Accurate measurement of dyssynchrony could help in discriminating CRT responders from nonresponders. Individual responsiveness of patients could be improved with the knowledge of temporally resolved, regional motion patterns. The acquisition of multi-slice MR tagging data [2] covering the whole heart in short- and long axis orientations is associated with long acquisition times and prone to slice misregistration. A novel accelerated 3D tagging acquisition scheme [3,4] allows assessing detailed 3D motion patterns of the entire left ventricle (LV) in only three breath-holds. The method is integrated into a clinical protocol including volumetric, perfusion and viability measurements

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