Unsupervised multiparametric classification of dynamic susceptibility contrast imaging: Study of the healthy brain

M. Artzi, O. Aizenstein, T. Hendler, D. Ben Bashat*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Characterization and quantification of magnetic resonance perfusion images is important for clinical interpretation, though this calls for a reproducible and accurate method of analysis and a robust healthy reference. The few studies which have examined the perfusion of the healthy brain using dynamic susceptibility contrast (DSC) imaging were largely limited to manual definition of the regions of interest (ROI) and results were dependent on the location of the ROI. The current study aimed to develop a methodology for DSC data analysis and to obtain reference values of healthy subjects. Twenty three healthy volunteers underwent DSC. An unsupervised multiparametric clustering method was applied to four perfusion parameters. Three clusters were defined and identified as: dura-blood-vessels, gray matter and white matter and their vascular characteristics were obtained. Additionally, regional perfusion differences were studied and revealed a prolonged mean transient time and a trend for higher vascularity in the posterior compared with the anterior and middle cerebral vascular territories. While additional studies are required to confirm our findings, this result may have important clinical implications. The proposed unsupervised multiparametric method enabled accurate tissue differentiation, is easy replicable and has a wide range of applications in both pathological and healthy brains.

Original languageEnglish
Pages (from-to)858-864
Number of pages7
Issue number3
StatePublished - 1 Jun 2011


FundersFunder number
James S. McDonnell Foundation220020176


    • Brain vascular territories
    • Dynamic susceptibility contrast (DSC) imaging
    • Healthy brain
    • Multiparametric classification


    Dive into the research topics of 'Unsupervised multiparametric classification of dynamic susceptibility contrast imaging: Study of the healthy brain'. Together they form a unique fingerprint.

    Cite this