Peretti, Débora
DOI:10.33612/diss.145251614
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: 2020
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Peretti, D. (2020). Quantitative Brain PET Analysis Methods in Dementia Studies. University of Groningen. https://doi.org/10.33612/diss.145251614
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.
Quantitative Brain PET Analysis Methods in
Dementia Studies
Printing of this thesis was financially supported by the University Medical Cen-ter Groningen and the Research School of Behavioural and Cognitive Neuro-scienecs.
Cover Design: Bob M J Knaapen and Débora E Peretti Printed by: Ridderprint
ISBN: 978-94-6416-293-6
Dissertation of the University of Groningen, Groningen, The Netherlands
Quantitative Brain PET Analysis Methods
in Dementia Studies
PhD Thesis
to obtain the degree of PhD at the University of Groningen
on the authority of the Rector Magnificus Prof. C. Wijmenga
and in accordance with the decision by the College of Deans This thesis will be defended in public on Monday 07 December 2020 at 9:00 hours
by
Débora Elisa Peretti
born on 24 of July of 1991
Assessment Committee
Prof. Dr. Federico Turkheimer Prof. Dr. Bart van Berckel Prof. Dr. Michael Biehl
Paranymphs
Guilherme Domingues Kolinger Dr. Luiza Reali Nazario
Contents
CHAPTER1 General Introduction . . . 9
CHAPTER2 Optimization of the k02 Parameter Estimation for the Pharmacoki-netic Modelling of Dynamic PIB PET Scans Using SRTM2 . . . . 33
CHAPTER3 Relative Cerebral Flow from Dynamic PIB Scans as an Alternative for FDG Scans in Alzheimer’s Disease PET Studies . . . 67
CHAPTER4 Diagnostic Performance of Regional Cerebral Blood Flow Images Derived from Dynamic PIB Scans in Alzheimer’s Disease . . . . 115
CHAPTER5 Feasibility of Pharmacokinetic Parametric PET Images in Scale Subprofile Modelling using Principal Component Analysis . . . . 141
CHAPTER6 Alzheimer’s Disease Pattern Derived from Relative Cerebral Flow as an Alternative for the Metabolic Pattern Using SSM/PCA . . . 171
CHAPTER7 Summary . . . 195
CHAPTER8 Nederlandse Samenvatting . . . 203
CHAPTER9 Discussion and Future Perspectives . . . 213
CHAPTER10 Acknowledgements . . . 229
