Cover Page

Cover Page

The following handle holds various files of this Leiden University dissertation:

http://hdl.handle.net/1887/68704

Author: Aizenberg, E.

Title: Computer-aided techniques for assessment of MRI-detected inflammation for early

identification of inflammatory arthritis

Computer-aided techniques for assessment of

MRI-detected inflammation for early identification

of inflammatory arthritis

ISBN: 978-94-6182-931-3

Printing and cover layout by Off Page, Amsterdam

Computer-aided techniques for assessment of

MRI-detected inflammation for early identification

of inflammatory arthritis

Proefschrift

Ter verkrijging van

de graad van doctor aan de Universiteit Leiden,

op gezag van de Rector Magnificus prof. mr. C.J.J.M. Stolker,

volgens besluit van het College voor Promoties

te verdedigen op donderdag 14 maart 2019

klokke 13:45 uur

Promotores:

Prof. dr. ir. B.P.F. Lelieveldt

Prof. dr. A.H.M. van der Helm–van Mil Co-promotor:

Dr. B.C. Stoel

Leden promotiecommissie: Dr. M. Reijnierse

Prof. dr. J.L. Bloem Prof. dr. W. Lems (VUmc)

Dr. ir. K.L. Vincken (UMC Utrecht)

This work was carried out in the ASCI graduate school. ASCI dissertation series number 404.

0

The research described in this thesis was conducted at the Division of Image Processing (LKEB), Department of Radiology of the Leiden University Medical Center, Leiden, The Netherlands and was supported by the Dutch Technology Foundation STW, under grant number 13329. STW (currently TTW) is part of the Netherlands Organization for Scientific Research (NWO), which is partly funded by the Dutch Ministry of Economic Affairs.

Financial support for the publication of this thesis was kindly provided by: Bontius Stichting

Contents

1 Introduction

1

2 Computer-aided evaluation of inflammatory changes over

time on MRI of the spine in patients with suspected axial

spondyloarthritis: a feasibility study

11

3 Automatic quantification of bone marrow edema on MRI

of the wrist in patients with early arthritis

31

4 Automatic quantification of tenosynovitis on MRI of the

wrist in patients with early arthritis

53

5 Identifying MRI-detected inflammatory features specific

for rheumatoid arthritis: two-fold feature reduction maintains

predictive accuracy in clinically suspect arthralgia patients

71

6 Summary and general discussion

97

7 Samenvatting en algemene discussie

103

List of publications

111

Acknowledgements

113