Automated image analysis techniques for cardiovascular magnetic resonance imaging

Author(s):
Geest, R.J. van der
Published
2011
Publication type
Doctoral Thesis

Abstract

The introductory chapter provides an overview of various aspects related to quantitative analysis of cardiovascular MR (CMR) imaging studies. Subsequently, the thesis describes several automated methods for quantitative assessment of left ventricular function from CMR imaging studies. Several novel computer algorithms are introduced and validated for automated segmentation of short-axis CMR images and validated by comparing functional results derived from automated segmentation with results derived from manually traced contours. In addition an automated method is presented for assessment of flow through the aorta based on Phase-Contrast flow velocity mapping MRI. Finally a method is presented for accurate assessment of the thickness of the left ventricular myocardium taking advantage of the three-dimensional nature of MRI.

Cardiac flowCardiac MRIContour detectionImage segmentationVentricular function
Defense date
2011-03-22
Language
English
Supervisor(s)
Reiber, J.H.C.
Qualification
Ph.D.
Degree granting institution
Leiden University Medical Center (LUMC), Leiden University, Leiden
hdl
1887/16643
ISBN(s)
9789490858049