Computational cardiac anatomy Using MRI

Mirza Faisal Beg, Patrick A. Helm, Elliot McVeigh, Michael I. Miller, Raimond L. Winslow

Research output: Contribution to journalArticle

Abstract

Ventricular geometry and fiber orientation may undergo global or local remodeling in cardiac disease. However, there are as yet no mathematical and computational methods for quantifying variation of geometry and fiber orientation or the nature of their remodeling in disease. Toward this goal, a landmark and image intensity-based large deformation diffeomorphic metric mapping (LDDMM) method to transform heart geometry into common coordinates for quantification of shape and form was developed. Two automated landmark placement methods for modeling tissue deformations expected in different cardiac pathologies are presented. The transformations, computed using the combined use of landmarks and image intensities, yields high-registration accuracy of heart anatomies even in the presence of significant variation of cardiac shape and form. Once heart anatomies have been registered, properties of tissue geometry and cardiac fiber orientation in corresponding regions of different hearts may be quantified.

Original languageEnglish (US)
Pages (from-to)1167-1174
Number of pages8
JournalMagnetic resonance in medicine
Volume52
Issue number5
DOIs
StatePublished - Nov 2004

Keywords

  • Cardiac architecture
  • Computational anatomy
  • Diffusion tensor MRI
  • Fiber orientation
  • Remodeling

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Computational cardiac anatomy Using MRI'. Together they form a unique fingerprint.

  • Cite this

    Beg, M. F., Helm, P. A., McVeigh, E., Miller, M. I., & Winslow, R. L. (2004). Computational cardiac anatomy Using MRI. Magnetic resonance in medicine, 52(5), 1167-1174. https://doi.org/10.1002/mrm.20255