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  New tissue priors for improved automated classification of subcortical brain structures on MRI

Lorio, S., Fresard, S., Adaszewski, S., Kherif, F., Chowdhury, R., Frackowiak, R. S., et al. (2016). New tissue priors for improved automated classification of subcortical brain structures on MRI. NeuroImage, 130, 157-166. doi:10.1016/j.neuroimage.2016.01.062.

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 Urheber:
Lorio, S.1, Autor
Fresard, S.1, Autor
Adaszewski, S.1, Autor
Kherif, F.1, Autor
Chowdhury, R.2, Autor
Frackowiak, Richard S.1, Autor
Ashburner, John2, Autor
Helms, Gunther3, Autor
Weiskopf, Nikolaus2, 4, Autor           
Lutti, Antoine1, Autor
Draganski, Bogdan1, 5, Autor           
Affiliations:
1Laboratoire de Recherche en Neuroimagerie (LREN), Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
2Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom, ou_persistent22              
3Department of Medical Radiation Physics, Skånes University Hospital, Lund, Sweden, ou_persistent22              
4Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
5Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634549              

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Schlagwörter: Relaxometry; Basal ganglia; Effective transverse relaxation; Magnetization transfer saturation; Tissue probability maps; Voxel-based morphometry; Voxel-based quantification
 Zusammenfassung: Despite the constant improvement of algorithms for automated brain tissue classification, the accurate delineation of subcortical structures using magnetic resonance images (MRI) data remains challenging. The main difficulties arise from the low grey-white matter contrast of iron rich areas in T1-weighted (T1w) MRI data and from the lack of adequate priors for basal ganglia and thalamus. The most recent attempts to obtain such priors were based on cohorts with limited size that included subjects in a narrow age range, failing to account for age-related grey-white matter contrast changes. Aiming to improve the anatomical plausibility of automated brain tissue classification from T1w data, we have created new tissue probability maps for subcortical grey matter regions. Supported by atlas-derived spatial information, raters manually labelled subcortical structures in a cohort of healthy subjects using magnetization transfer saturation and R2* MRI maps, which feature optimal grey-white matter contrast in these areas. After assessment of inter-rater variability, the new tissue priors were tested on T1w data within the framework of voxel-based morphometry. The automated detection of grey matter in subcortical areas with our new probability maps was more anatomically plausible compared to the one derived with currently available priors. We provide evidence that the improved delineation compensates age-related bias in the segmentation of iron rich subcortical regions. The new tissue priors, allowing robust detection of basal ganglia and thalamus, have the potential to enhance the sensitivity of voxel-based morphometry in both healthy and diseased brains.

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Sprache(n): eng - English
 Datum: 2015-10-282016-01-292016-02-052016-04-15
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.neuroimage.2016.01.062
PMID: 26854557
PMC: PMC4819722
Anderer: Epub 2016
 Art des Abschluß: -

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Projektname : Non-invasive in vivo histology in health and disease using Magnetic Resonance Imaging (MRI) / HMRI
Grant ID : 616905
Förderprogramm : FP7 (ERC-2013-CoG)
Förderorganisation : European Commission (EC)
Projektname : Talking imaging into the therapeutic domain: Self-regulation of brain systems for mental disorders / BrainTrain
Grant ID : 602186
Förderprogramm : Funding Programme 7 (FP7-HEALTH-2013-INNOVATION-1)
Förderorganisation : European Commission (EC)
Projektname : -
Grant ID : 320030_135679
Förderprogramm : -
Förderorganisation : Swiss National Science Foundation (NCCR Synapsy)
Projektname : -
Grant ID : SPUM 33CM30_140332/1
Förderprogramm : -
Förderorganisation : Swiss National Science Foundation (NCCR Synapsy)
Projektname : -
Grant ID : -
Förderprogramm : -
Förderorganisation : Foundation Parkinson Switzerland
Projektname : -
Grant ID : -
Förderprogramm : -
Förderorganisation : Foundation Synapsis
Projektname : -
Grant ID : -
Förderprogramm : -
Förderorganisation : Roger de Spoelberch Foundation
Projektname : -
Grant ID : -
Förderprogramm : -
Förderorganisation : Partridge Foundation
Projektname : -
Grant ID : 0915/Z/10/Z
Förderprogramm : -
Förderorganisation : Wellcome Trust
Projektname : The Human Brain Project / HBP
Grant ID : 604102
Förderprogramm : Funding Programme 7 (FP7)
Förderorganisation : European Commission (EC)

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Titel: NeuroImage
Genre der Quelle: Zeitschrift
 Urheber:
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 130 Artikelnummer: - Start- / Endseite: 157 - 166 Identifikator: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166