• No results found

University of Groningen Challenges and opportunities in quantitative brain PET imaging Lopes Alves, Isadora

N/A
N/A
Protected

Academic year: 2021

Share "University of Groningen Challenges and opportunities in quantitative brain PET imaging Lopes Alves, Isadora"

Copied!
9
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

University of Groningen

Challenges and opportunities in quantitative brain PET imaging

Lopes Alves, Isadora

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

Document Version

Publisher's PDF, also known as Version of record

Publication date: 2017

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Lopes Alves, I. (2017). Challenges and opportunities in quantitative brain PET imaging. University of Groningen.

Copyright

Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons).

Take-down policy

If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum.

(2)

Challenges and opportunities in

quantitative

brain PET imaging

(3)

The research reported in this thesis was carried out within the Department of Nuclear Medicine and Molecular Imaging of the University Medical Center Groningen.

The reported research contained in this thesis was financially supported by a scholarship from the Graduate School of Medical Sciences (Abel Tasman Talent Program) of the University Medical Center Groningen.

The printing of this thesis was financially supported by the University Medical Center Groningen and the research school of Behavioral and Cognitive Neurosciences (BCN).

Cover design: Isadora Lopes Alves and colleagues Printed by: Ridderprint

ISBN: 978-90-367-9820-4 (Hard copy)

ISBN: 978-90-367-9819-8 (Electronic version)

Dissertation of University of Groningen, Groningen, the Netherlands Copyright © 2017 Isadora Lopes Alves

(4)

Challenges and opportunities

in quantitative brain PET imaging

PhD thesis

to obtain the degree of PhD at the University of Groningen

on the authority of the Rector Magnificus Prof. E. Sterken

and in accordance with the decision by the College of Deans. This thesis will be defended in public on

Wednesday 7 June 2017 at 16.15 hours

by

Isadora Lopes Alves

born on 9 of April of 1990 in Pelotas, Rio Grande do Sul, Brazil

(5)

Supervisors

Prof. R. Boellaard

Prof. A.M. Marques da Silva

Co-supervisors

Dr. A.T.M. Willemsen Dr. M. Koole

Assessment Committee

Prof. A. Lammertsma Prof. T. van Laar Prof. M. Lubberink

(6)

Paranymphs

Dr. D. Vállez García

(7)
(8)

CONTENTS

Introduction

Chapter 1 General Introduction 9

Section I: Dual time point quantification Chapter 2 Dual time point method for the quantification of irreversible tracer kinetics: a reference tissue approach applied to [18F]-FDOPA brain PET 25

Chapter 3 Dual time point imaging for post-dose binding potential estimation applied to a [11C]raclopride PET dose occupancy study 49

Section II: Back-translation of quantitative methods: from clinical to preclinical studies Chapter 4 Contribution of neuroinflammation to changes in [11C]flumazenil binding in the rat brain: evaluation of the inflamed pons as reference tissue 75

Chapter 5 Pharmacokinetic modeling of [11C]flumazenil kinetics in the rat brain 93

Chapter 6 Parametric imaging of [11C]flumazenil binding in the rat brain 117

Overview and discussion Chapter 7 Summary 139

Chapter 8 Concluding Remarks and Future Perspectives 149

Chapter 9 Nederlandse Samenvatting 163

(9)

Referenties

GERELATEERDE DOCUMENTEN

Publication of this thesis was financially supported by the Graduate School of Medical Sciences and the University Medical Center Groningen.

The research in this thesis was performed at the Graduate School of Medical Sciences (GSMS) at the University of Groningen.. This PhD project was financially supported by

In an ideal scenario, models for the quantification of brain PET images would allow the estimation of physiological information from dynamic processes while maintaining the

Although dynamic PET imaging may contribute to a more comprehensive understanding of underlying physiological processes, simple and short acquisition protocols are

Using Equations (6), (7) and the baseline derived washout rate constants for the determination of DVR, Equation (5) can be determined from a dual time point approximation,

For this purpose, we used the herpes simplex encephalitis (HSE) rat model, known to cause severe neuroinflammation in the pons and medulla 28–30 , and compared estimates of [

Regarding the PS group, the analysis of model preference and performance produced results similar to those of the low-density regions, with lower AIC values for the 2TCM. These

Therefore, despite its bias to 2TCM values, RLogan can be considered the most robust reference based parametric method for the generation of receptor binding images. While V T and