Image-based estimation of ventricular fiber orientations for personalized modeling of cardiac electrophysiology

Fijoy Vadakkumpadan, Hermenegild Arevalo, Can Ceritoglu, Michael Miller, Natalia Trayanova

Research output: Contribution to journalArticle

Abstract

Technological limitations pose a major challenge to acquisition of myocardial fiber orientations for patient-specific modeling of cardiac (dys)function and assessment of therapy. The objective of this project was to develop a methodology to estimate cardiac fiber orientations from in vivo images of patient heart geometries. An accurate representation of ventricular geometry and fiber orientations was reconstructed, respectively, from high-resolution ex vivo structural magnetic resonance (MR) and diffusion tensor (DT) MR images of a normal human heart, referred to as the atlas. Ventricular geometry of a patient heart was extracted, via semiautomatic segmentation, from an in vivo computed tomography (CT) image. Using image transformation algorithms, the atlas ventricular geometry was deformed to match that of the patient. Finally, the deformation field was applied to the atlas fiber orientations to obtain an estimate of patient fiber orientations. The accuracy of the fiber estimates was assessed using six normal and three failing canine hearts. The mean absolute difference between inclination angles of acquired and estimated fiber orientations was 15.4°. Computational simulations of ventricular activation maps and pseudo-ECGs in sinus rhythm and ventricular tachycardia indicated that there are no significant differences between estimated and acquired fiber orientations at a clinically observable level.

Original languageEnglish (US)
Article number6134677
Pages (from-to)1051-1060
Number of pages10
JournalIEEE Transactions on Medical Imaging
Volume31
Issue number5
DOIs
StatePublished - 2012

Fingerprint

Cardiac Electrophysiology
Fiber reinforced materials
Atlases
Magnetic Resonance Spectroscopy
Sinus Tachycardia
Geometry
Magnetic resonance
Ventricular Tachycardia
Canidae
Electrocardiography
Tomography
Tensors
Chemical activation
Fibers

Keywords

  • Biomedical image processing
  • Cardiomyocyte
  • Electrophysiology
  • Magnetic resonance imaging (MRI)
  • Patient-specific modeling
  • Simulation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Radiological and Ultrasound Technology
  • Software

Cite this

Image-based estimation of ventricular fiber orientations for personalized modeling of cardiac electrophysiology. / Vadakkumpadan, Fijoy; Arevalo, Hermenegild; Ceritoglu, Can; Miller, Michael; Trayanova, Natalia.

In: IEEE Transactions on Medical Imaging, Vol. 31, No. 5, 6134677, 2012, p. 1051-1060.

Research output: Contribution to journalArticle

Vadakkumpadan, Fijoy ; Arevalo, Hermenegild ; Ceritoglu, Can ; Miller, Michael ; Trayanova, Natalia. / Image-based estimation of ventricular fiber orientations for personalized modeling of cardiac electrophysiology. In: IEEE Transactions on Medical Imaging. 2012 ; Vol. 31, No. 5. pp. 1051-1060.
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