Evaluating High Spatial Resolution Diffusion Kurtosis Imaging at 3T: Reproducibility and Quality of Fit

• Published in: Journal of magnetic resonance imaging Vol. 53; no. 4; pp. 1175 - 1187
• Main Authors: Kasa, Loxlan W., Haast, Roy A.M., Kuehn, Tristan K., Mushtaha, Farah N., Baron, Corey A., Peters, Terry, Khan, Ali R.
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.04.2021; Wiley Subscription Services, Inc
• Subjects: Adult; Brain; Brain - diagnostic imaging; Coefficient of variation; Datasets; Diffusion; diffusion kurtosis imaging; diffusion magnetic resonance imaging; Diffusion Tensor Imaging - methods; Echo-Planar Imaging; Evaluation; Female; Fiber orientation; Field strength; Humans; Image Processing, Computer-Assisted - methods; Imaging; In vivo methods and tests; Kurtosis; Magnetic resonance imaging; Male; Microstructure; Neuroimaging; Parameters; Phantoms, Imaging; quality of fitting; Reproducibility; Reproducibility of Results; Retrospective Studies; Spatial discrimination; Spatial resolution; Statistical analysis; Statistical tests; Substantia alba; Substantia grisea; Three dimensional printing; Variance analysis; Young Adult; diffusion kurtosis imaging; diffusion magnetic resonance imaging; quality of fitting; reproducibility

Background Diffusion kurtosis imaging (DKI) quantifies the non‐Gaussian diffusion of water within tissue microstructure. However, it has increased fitting parameters and requires higher b‐values. Evaluation of DKI reproducibility is important for clinical purposes. Purpose To assess the reproducibil...