Direct three-dimensional myocardial strain tensor quantification and tracking using zHARP

Khaled Z. Abd-Elmoniem, Matthias Stuber, Jerry L. Prince

Research output: Contribution to journalArticlepeer-review

39 Scopus citations


Images of myocardial strain can be used to diagnose heart disease, plan and monitor treatment, and to learn about cardiac structure and function. Three-dimensional (3D) strain is typically quantified using many magnetic resonance (MR) images obtained in two or three orthogonal planes. Problems with this approach include long scan times, image misregistration, and through-plane motion. This article presents a novel method for calculating cardiac 3D strain using a stack of two or more images acquired in only one orientation. The zHARP pulse sequence encodes in-plane motion using MR tagging and out-of-plane motion using phase encoding, and has been previously shown to be capable of computing 3D displacement within a single image plane. Here, data from two adjacent image planes are combined to yield a 3D strain tensor at each pixel; stacks of zHARP images can be used to derive stacked arrays of 3D strain tensors without imaging multiple orientations and without numerical interpolation. The performance and accuracy of the method is demonstrated in vitro on a phantom and in vivo in four healthy adult human subjects.

Original languageEnglish (US)
Pages (from-to)778-786
Number of pages9
JournalMedical image analysis
Issue number6
StatePublished - Dec 2008


  • Cardiac function
  • HARP
  • Harmonic phase magnetic resonance
  • Three-dimensional strain tensor
  • zHARP

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design


Dive into the research topics of 'Direct three-dimensional myocardial strain tensor quantification and tracking using zHARP'. Together they form a unique fingerprint.

Cite this