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Verfasst von:Fellhauer, Iven [VerfasserIn]   i
 Zöllner, Frank G. [VerfasserIn]   i
 Schröder, Johannes [VerfasserIn]   i
 Degen, Christina [VerfasserIn]   i
 Kong, Li [VerfasserIn]   i
 Essig, Marco [VerfasserIn]   i
 Thomann, Philipp [VerfasserIn]   i
 Schad, Lothar R. [VerfasserIn]   i
Titel:Comparison of automated brain segmentation using a brain phantom and patients with early Alzheimer's dementia or mild cognitive impairment
Verf.angabe:Iven Fellhauer, Frank G. Zöllner, Johannes Schröder, Christina Degen, Li Kong, Marco Essig, Philipp A. Thomann, Lothar R. Schad
E-Jahr:2015
Jahr:30 September 2015
Umfang:7 S.
Fussnoten:Gesehen am 28.02.2018
Titel Quelle:Enthalten in: Psychiatry research
Ort Quelle:Amsterdam [u.a.] : Elsevier Science, 1979
Jahr Quelle:2015
Band/Heft Quelle:233(2015), 3, Seite 299-305
ISSN Quelle:1872-7123
Abstract:Magnetic resonance imaging (MRI) and brain volumetry allow for the quantification of changes in brain volume using automatic algorithms which are widely used in both, clinical and scientific studies. However, studies comparing the reliability of these programmes are scarce and mainly involved MRI derived from younger healthy controls. This study evaluates the reliability of frequently used segmentation programmes (SPM, FreeSurfer, FSL) using a realistic digital brain phantom and MRI brain acquisitions from patients with manifest Alzheimer's disease (AD, n=34), mild cognitive impairment (MCI, n=60), and healthy subjects (n=32) matched for age and sex. Analysis of the brain phantom dataset demonstrated that SPM, FSL and FreeSurfer underestimate grey matter and overestimate white matter volumes with increasing noise. FreeSurfer calculated overall smaller brain volumes with increasing noise. Image inhomogeneity had only minor, non- significant effects on the results obtained with SPM and FreeSurfer 5.1, but had effects on the FSL results (increased white matter volumes with decreased grey matter volumes). The analysis of the patient data yielded decreasing volumes of grey and white matter with progression of brain atrophy independent of the method used. FreeSurfer calculated the largest grey matter and the smallest white matter volumes. FSL calculated the smallest grey matter volumes; SPM the largest white matter volumes. Best results are obtained with good image quality. With poor image quality, especially noise, SPM provides the best segmentation results. An optimised template for segmentation had no significant effect on segmentation results. While our findings underline the applicability of the programmes investigated, SPM may be the programme of choice when MRIs with limited image quality or brain images of elderly should be analysed.
DOI:doi:10.1016/j.pscychresns.2015.07.011
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: http://dx.doi.org/10.1016/j.pscychresns.2015.07.011
 Volltext: http://www.sciencedirect.com/science/article/pii/S0925492715300378
 DOI: https://doi.org/10.1016/j.pscychresns.2015.07.011
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:AD
 Brainweb
 FreeSurfer
 FSL
 MCI
 MRI
 SPM
K10plus-PPN:1570256969
Verknüpfungen:→ Zeitschrift

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