The toolbox includes functions to perform IVIM fitting of DWI data. There are two main functions: non linear fitting and Bayesian fitting (Orton et al. 2014). It also contains functions to remove the IVIM bias signal from diffusion weighted data using multiple b-values (de Luca et al. 2017). Back››
- Orton, Matthew R., David J. Collins, Dow-Mu Koh, and Martin O. Leach. 2014. “Improved intravoxel incoherent motion analysis of diffusion weighted imaging by data driven Bayesian modeling.” Magnetic Resonance in Medicine 71 (1): 411–20. link››.
- De Luca, A., Bertoldo, A., & Froeling, M. (2017). “Effects of perfusion on DTI and DKI estimates in the skeletal muscle. Magnetic Resonance in Medicine, 78(1), 233–246. link››