Treffer: Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition

Title:
Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition
Source:
Dietrich, O, Cai, M, Tuladhar, A M, Jacob, M A, Drenthen, G S, Jansen, J F A, Marques, J P, Topalis, J, Ingrisch, M, Ricke, J, de Leeuw, F E, Duering, M & Backes, W H 2023, 'Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition', NMR in Biomedicine, vol. 36, no. 7, e4905. https://doi.org/10.1002/nbm.4905
Publication Year:
2023
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/pmid/36637237; info:eu-repo/semantics/altIdentifier/pissn/0952-3480
DOI:
10.1002/nbm.4905
Rights:
info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/
Accession Number:
edsbas.C795AAC6
Database:
BASE

Weitere Informationen

The acquisition of intravoxel incoherent motion (IVIM) data and diffusion tensor imaging (DTI) data from the brain can be integrated into a single measurement, which offers the possibility to determine orientation-dependent (tensorial) perfusion parameters in addition to established IVIM and DTI parameters. The purpose of this study was to evaluate the feasibility of such a protocol with a clinically feasible scan time below 6 min and to use a model-selection approach to find a set of DTI and IVIM tensor parameters that most adequately describes the acquired data. Diffusion-weighted images of the brain were acquired at 3 T in 20 elderly participants with cerebral small vessel disease using a multiband echoplanar imaging sequence with 15 b-values between 0 and 1000 s/mm 2 and six non-collinear diffusion gradient directions for each b-value. Seven different IVIM-diffusion models with 4 to 14 parameters were implemented, which modeled diffusion and pseudo-diffusion as scalar or tensor quantities. The models were compared with respect to their fitting performance based on the goodness of fit (sum of squared fit residuals, chi 2 ) and their Akaike weights (calculated from the corrected Akaike information criterion). Lowest chi 2 values were found using the model with the largest number of model parameters. However, significantly highest Akaike weights indicating the most appropriate models for the acquired data were found with a nine-parameter IVIM–DTI model (with isotropic perfusion modeling) in normal-appearing white matter (NAWM), and with an 11-parameter model (IVIM–DTI with additional pseudo-diffusion anisotropy) in white matter with hyperintensities (WMH) and in gray matter (GM). The latter model allowed for the additional calculation of the fractional anisotropy of the pseudo-diffusion tensor (with a median value of 0.45 in NAWM, 0.23 in WMH, and 0.36 in GM), which is not accessible with the usually performed IVIM acquisitions based on three orthogonal diffusion-gradient directions.