A fast and highly automated approach to myocardial motion analysis using phase contrast magnetic resonance imaging.

Erik Bergvall, Peter Cain, Håkan Arheden, Gunnar Sparr

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

17 Citeringar (SciVal)

Sammanfattning

Purpose: To develop a fast and highly automated method for calculating two-dimensional myocardial motion and deformation using velocity encoded magnetic resonance imaging. Materials and Methods: Two-dimensional phase contrast magnetic resonance imaging was used to acquire time resolved velocity maps of the myocardium. Cardiac motion was calculated by an iterative integration-regularization scheme of low computational cost. Image segmentation was performed using active appearance models. Results: Validation of motion tracking was performed in N = 47 subjects using saturation grid-tagging and closely followed "tag-lines." Image segmentation was validated vs. manual delineation. Conclusion: The speed and limited user interaction gives the method good potential for use in clinical practice.
Originalspråkengelska
Sidor (från-till)652-661
TidskriftJournal of Magnetic Resonance Imaging
Volym23
Utgåva5
DOI
StatusPublished - 2006

Ämnesklassifikation (UKÄ)

  • Radiologi och bildbehandling

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