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Automated image analysis techniques for cardiovascular magnetic resonance imaging

Geest, R.J. van der

Citation

Geest, R. J. van der. (2011, March 22). Automated image analysis techniques for cardiovascular magnetic resonance imaging. Retrieved from

https://hdl.handle.net/1887/16643

Version: Corrected Publisher’s Version License:

Licence agreement concerning inclusion of doctoral thesis in the Institutional Repository of the University of Leiden

Downloaded from: https://hdl.handle.net/1887/16643

Note: To cite this publication please use the final published version (if

applicable).

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Automated Image Analysis Techniques for Cardiovascular

Magnetic Resonance Imaging

Robertus Jacobus van der Geest

2011

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Printed by: Drukkerij Mostert & van Onderen, Leiden.

ISBN 978-94-90858-04-9

© 2011, R.J. van der Geest, Leiden, the Netherlands. All rights reserved.

No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording or any information storage and retrieval system, without prior permission in writing from the copyright owner.

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Automated Image Analysis Techniques for Cardiovascular

Magnetic Resonance Imaging

Proefschrift

ter verkrijging van

de graad van Doctor aan de Universiteit Leiden, op gezag van Rector Magnificus prof. mr. P.F. van der Heijden

volgens besluit van het College van Promoties ter verdediging op dinsdag 22 maart 2011

klokke 16:15 uur

door

Robertus Jacobus van der Geest geboren te Leiderdorp

in 1966

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PROMOTIECOMMISIE

Promotor:

Prof. dr. ir. J.H.C. Reiber

Overige leden:

Prof. dr. A. de Roos Prof. dr. E.E. van der Wall

Prof. dr. A.C. van Rossum VU Medisch Centrum, Amsterdam

The research in this thesis was carried out at the Department of Radiology, Division of Image Processing (LKEB) of the Leiden University Medical Center.

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Contents

1 General introduction and outline

Background 8 | Scope of this thesis 9 | Thesis outline 9

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2 Quantification in cardiac MRI

Introduction 12 | Quantification of ventricular dimensions and global function 12 | Myocardial mass 17 Quantification of ventricular volumes and global function 19 | Quantification of regional wall motion and wall thickening using the centerline method from dynamic short-axis images 21 | Regional function analysis using MRI tagging and velocity-encoded MRI 24 | Automated contour detection in short-axis multi- slice cine-MRI | 26 MRI flow quantification 32 | Image processing of perfusion imaging studies 34 | Late

Gadolinium-enhanced MRI 36 | Integrated image analysis 37 Conclusion 37 | References 38

11

3 Comparison between manual and automated analysis of left ventricular volume parameters from short axis MR images

Introduction 48 | Methods 49 | Statistical analysis 55 Results 56 | Discussion 60 | Conclusion 63

Acknowledgment 63 | References 64

45

4 Automated assessment of MR velocity maps of the ascending aorta: Evaluation of inter- and intraobserver variability in the determination of left ventricular stroke volume by automated and manual analysis methods

Introduction 70 | Methods 71 | Results 77 | Discussion 78 Conclusion 80 | References 80

67

5 Assessment of regional left ventricular wall

parameters from short axis MR imaging using a 3D extension to the improved Centerline method Introduction 86 | Materials 89 | Methods 90 | Statistical analysis 93 | Results 93 | Discussion 98 | Conclusion 101 References 101

83

6 Evaluation of a new method for automated detection of left ventricular boundaries in time series of magnetic resonance images using an active appearance motion model

Introduction 106 | Methods 107 | Statistical analysis 111 Results 112 | Discussion 114 | Conclusion 118

References 118

103

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7 Time continuous tracking and segmentation of cardiovascular magnetic resonance images using multi-dimensional dynamic programming

Introduction 124 | Materials and methods 125 Results 134 | Discussion 136 | Conclusion 140 References 141

121

8 Automatic method for the optimization of left

ventricular segmentation in cardiovascular magnetic resonance images

Introduction 146 | Materials 147 | Methods 148 Results 154 | Discussion 156 | Conclusion 158 References 159

143

9 Summary and conclusions

General conclusions 166 161

10 Samenvatting en conclusies

Algemene conclusies 175 169

11 Publications

Refereed papers in international journals 177

Papers in conference proceedings 186 | Book chapters and other publications 187

177

Acknowledgments 189

Curriculum vitae 191

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