Parameterization of the Age-Dependent Whole Brain Apparent Diffusion Coefficient Histogram.
Purpose. The distribution of apparent diffusion coefficient (ADC) values in the brain can be used to characterize age effects and pathological changes of the brain tissue. The aim of this study was the parameterization of the whole brain ADC histogram by an advanced model with influence of age consi...
| Publicado en: | BioMed Research International Vol. 2015; pp. 1 - 12 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
11/2/2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=113629988&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 113629988 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 11/2/2015 vid: 2015 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 113629988 113629988 113629988 10.1155/2015/373716 113629988 ppf: 1 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Parameterization of the Age-Dependent Whole Brain Apparent Diffusion Coefficient Histogram. aug: au: Klose, Uwe Batra, Marion Nägele, Thomas affil: Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany sug: subj: Brain Anatomy and Histology Brain Mapping Age Factors Magnetic Resonance Imaging Child Human Adolescence Young Adult Adult Middle Age Aged Aged, 80 and Over Child: 6-12 years Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over ab: Purpose. The distribution of apparent diffusion coefficient (ADC) values in the brain can be used to characterize age effects and pathological changes of the brain tissue. The aim of this study was the parameterization of the whole brain ADC histogram by an advanced model with influence of age considered. Methods. Whole brain ADC histograms were calculated for all data and for seven age groups between 10 and 80 years. Modeling of the histograms was performed for two parts of the histogram separately: the brain tissue part was modeled by two Gaussian curves, while the remaining part was fitted by the sum of a Gaussian curve, a biexponential decay, and a straight line. Results. A consistent fitting of the histograms of all age groups was possible with the proposed model. Conclusions. This study confirms the strong dependence of the whole brain ADC histograms on the age of the examined subjects. The proposed model can be used to characterize changes of the whole brain ADC histogram in certain diseases under consideration of age effects. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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