Non-invasive kinetic modelling approaches for quantitative analysis of brain PET studies

CWJ Van Der Weijden, P Mossel, AL Bartels… - European Journal of …, 2023 - Springer
Pharmacokinetic modelling with arterial sampling is the gold standard for analysing dynamic
PET data of the brain. However, the invasive character of arterial sampling prevents its …

The rise of synaptic density PET imaging

G Becker, S Dammicco, MA Bahri, E Salmon - Molecules, 2020 - mdpi.com
Many neurological disorders are related to synaptic loss or pathologies. Before the boom of
positrons emission tomography (PET) imaging of synapses, synaptic quantification could …

In vivo imaging of synaptic loss in Alzheimer's disease with [18F] UCB-H positron emission tomography

C Bastin, MA Bahri, F Meyer, M Manard… - European Journal of …, 2020 - Springer
Purpose Loss of brain synapses is an early pathological feature of Alzheimer's disease. The
current study assessed synaptic loss in vivo with positron emission tomography and an 18F …

Test–retest reproducibility of [11C]PBR28 binding to TSPO in healthy control subjects

K Collste, A Forsberg, A Varrone, N Amini… - European journal of …, 2016 - Springer
Abstract Purpose The PET radioligand [11 C] PBR28 binds to the translocator protein
(TSPO), a marker of brain immune activation. We examined the reproducibility of [11 C] …

Measuring brain synaptic vesicle protein 2A with positron emission tomography and [18F]UCB‐H

MA Bahri, A Plenevaux, J Aerts, C Bastin… - … Research & Clinical …, 2017 - Wiley Online Library
Introduction Brain distribution of synaptic vesicle protein 2A was measured with fluorine‐18
UCB‐H ([18F] UCB‐H) and positron emission tomography (PET). Methods Images of …

In vivo exploration of synaptic projections in frontotemporal dementia

E Salmon, MA Bahri, A Plenevaux, G Becker, A Seret… - Scientific reports, 2021 - nature.com
The purpose of this exploratory research is to provide data on synaptopathy in the
behavioral variant of frontotemporal dementia (bvFTD). Twelve patients with probable …

Learning representations in Bayesian Confidence Propagation neural networks

NB Ravichandran, A Lansner… - 2020 International Joint …, 2020 - ieeexplore.ieee.org
Unsupervised learning of hierarchical representations has been one of the most vibrant
research directions in deep learning during recent years. In this work we study biologically …

[HTML][HTML] Investigation of image-derived input functions for non-invasive quantification of myelin density using [11C] MeDAS PET

CWJ van der Weijden, A van der Hoorn, Y Wang… - Neuroimage, 2022 - Elsevier
Multiple sclerosis (MS) is an inflammatory demyelinating disease. Current treatments are
focussed on immune suppression to modulate pathogenic activity that causes myelin …

Regularization of images

A Mikhno, ED Angelini, AF Laine, T Ogden… - US Patent …, 2019 - Google Patents
The present disclosure is directed to iterative regularized reconstruction methods. In certain
embodiments, the methods incorporate locally-weighted total variation denoising to …

Non-invasive estimation of [11C] PBR28 binding potential

M Schain, F Zanderigo, RT Ogden, WC Kreisl - Neuroimage, 2018 - Elsevier
Abstract [11 C] PBR28 is a PET radioligand used to estimate densities of the 18 kDa
translocator protein (TSPO) in vivo. Since there is no suitable reference region, arterial blood …