| Literature DB >> 26999065 |
Sisi Liang1, Eleftheria Panagiotaki2, Andre Bongers3, Peng Shi1, Paul Sved4, Geoffrey Watson5, Roger Bourne6.
Abstract
This study compares the theoretical information content of single- and multi-compartment models of diffusion-weighted signal attenuation in prostate tissue. Diffusion-weighted imaging (DWI) was performed at 9.4 T with multiple diffusion times and an extended range of b values in four whole formalin-fixed prostates. Ten models, including different combinations of isotropic, anisotropic and restricted components, were tested. Models were ranked using the Akaike information criterion. In all four prostates, two-component models, comprising an anisotropic Gaussian component and an isotropic restricted component, ranked highest in the majority of voxels. Single-component models, whether isotropic (apparent diffusion coefficient, ADC) or anisotropic (diffusion tensor imaging, DTI), consistently ranked lower than multi-component models. Model ranking trends were independent of voxel size and maximum b value in the range tested (1.6-16 mm(3) and 3000-10,000 s/mm(2)). This study characterizes the two major water components previously identified by biexponential models and shows that models incorporating both anisotropic and restricted components provide more information-rich descriptions of DWI signals in prostate tissue than single- or multi-component anisotropic models and models that do not account for restricted diffusion.Entities:
Keywords: compartment models; diffusion; microstructure imaging; modeling; prostate; restricted diffusion
Mesh:
Year: 2016 PMID: 26999065 DOI: 10.1002/nbm.3510
Source DB: PubMed Journal: NMR Biomed ISSN: 0952-3480 Impact factor: 4.044