Novel whole brain segmentation and volume estimation using quantitative MRI.

Objectives: Brain segmentation and volume estimation of grey matter (GM), white matter (WM) and cerebro-spinal fluid (CSF) are important for many neurological applications. Volumetric changes are observed in multiple sclerosis (MS), Alzheimer's disease and dementia, and in normal aging. A novel meth...

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Publicado en:European Radiology Vol. 22; no. 5; pp. 998 - 1008
Autores principales: West J, Warntjes JB, Lundberg P, West, J, Warntjes, J B M, Lundberg, P
Formato: research Journal Article
Publicado: Springer Nature May2012
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Novel whole brain segmentation and volume estimation using quantitative MRI.
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          West J
          Warntjes JB
          Lundberg P
          West, J
          Warntjes, J B M
          Lundberg, P
        affil: Radiation Physics, Department of Medical and Health Sciences, Faculty of Health Sciences, Linköping University, Linköping, Sweden
      sug:
        subj:
          Algorithms
          Brain Anatomy and Histology
          Image Interpretation, Computer Assisted Methods
          Diagnostic Imaging Methods
          Magnetic Resonance Imaging Methods
          Information Science Methods
          Adult
          Female
          Human
          Image Enhancement Methods
          Male
          Reproducibility of Results
          Sensitivity and Specificity
          Young Adult
          Adult: 19-44 years
          Female
          Male
      ab: Objectives: Brain segmentation and volume estimation of grey matter (GM), white matter (WM) and cerebro-spinal fluid (CSF) are important for many neurological applications. Volumetric changes are observed in multiple sclerosis (MS), Alzheimer's disease and dementia, and in normal aging. A novel method is presented to segment brain tissue based on quantitative magnetic resonance imaging (qMRI) of the longitudinal relaxation rate R(1), the transverse relaxation rate R(2) and the proton density, PD.Methods: Previously reported qMRI values for WM, GM and CSF were used to define tissues and a Bloch simulation performed to investigate R(1), R(2) and PD for tissue mixtures in the presence of noise. Based on the simulations a lookup grid was constructed to relate tissue partial volume to the R(1)-R(2)-PD space. The method was validated in 10 healthy subjects. MRI data were acquired using six resolutions and three geometries.Results: Repeatability for different resolutions was 3.2% for WM, 3.2% for GM, 1.0% for CSF and 2.2% for total brain volume. Repeatability for different geometries was 8.5% for WM, 9.4% for GM, 2.4% for CSF and 2.4% for total brain volume.Conclusion: We propose a new robust qMRI-based approach which we demonstrate in a patient with MS.Key Points: • A method for segmenting the brain and estimating tissue volume is presented • This method measures white matter, grey matter, cerebrospinal fluid and remaining tissue • The method calculates tissue fractions in voxel, thus accounting for partial volume • Repeatability was 2.2% for total brain volume with imaging resolution <2.0 mm.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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