3D left ventricular strain by phase unwrapping: A simulated annealing based branch-cut placement method

Bharath Ambale, Thomas S. Denney, Himanshu Gupta, Steven Lloyd, Louis Dell'Italia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper presents an automated method for measuring 3D left ventricular (LV) strain in each imaged time frame from phase unwrapped harmonic phase (HARP) images derived from tagged cardiac magnetic resonance imaging. In previous work, manuallyplaced branch cuts were used to resolve phase inconsistencies in HARP images before they were unwrapped. This paper presents an automated method for placing branch cuts in short-axis images based on simulated annealing with a new cost function based on temporal phase consistency. This method significantly reduces the amount of user interaction needed to compute 3D strain maps in the entire LV in each imaged time frame. The unwrapped-phase-derived strains were validated on a set of 40 human studies by comparing them to strains estimated by a previously published feature based technique and a previously published unwrapped-phase technique with manual branch cut placement.

Original languageEnglish (US)
Title of host publicationProceedings - 2009 IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2009
Pages466-469
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 - Boston, MA, United States
Duration: Jun 28 2009Jul 1 2009

Publication series

NameProceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

Other

Other2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
Country/TerritoryUnited States
CityBoston, MA
Period6/28/097/1/09

Keywords

  • Left ventricle
  • Phase unwrapping
  • Strain
  • Tagged magnetic resonance imaging

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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