Evgenios N. Kornaropoulos1,2, Stefan Winzeck2,3, Theodor Rumetshofer1, Anna Wikstrom1, Linda Knutsson4,5, Marta Correia6, Pia Sundgren1,7,8, and Markus Nilsson1
1Diagnostic Radiology, Lund University, Lund, Sweden, 2Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom, 3Department of Computing, Imperial College London, London, United Kingdom, 4Department of Medical Radiation Physics, Lund University, Lund, Sweden, 5Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 6MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom, 7Lund University BioImaging Center, Lund University, Lund, Sweden, 8Department of Medical Imaging and Physiology, Skane University Hospital, Lund, Sweden
1Diagnostic Radiology, Lund University, Lund, Sweden, 2Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom, 3Department of Computing, Imperial College London, London, United Kingdom, 4Department of Medical Radiation Physics, Lund University, Lund, Sweden, 5Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 6MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom, 7Lund University BioImaging Center, Lund University, Lund, Sweden, 8Department of Medical Imaging and Physiology, Skane University Hospital, Lund, Sweden
We found that, in terms of detecting groupwise WM changes, DTI is preferrable to DKI, 3T yields slightly better results than 7T, Eddy is a more effective post-processing step than Gibbs and LPCA, while smoothing the data is detrimental.
Evaluation of diffusion strategy deriving the diffusion feature (x-axis) with highest Cohen’s d (Equation1, y-axis). The mean and standard deviation of each diffusion parameter, derived by either 3T-DTI or 3T-DKI or 7T-DTI, were examined and denoted by the letters “M” and “S” respectively (e.g. MFA for FA). The LPCA and Gibbs and Eddy pipeline was applied in each case. No smoothing was applied. The box-and-whisker plot captures variation among tracts.
Evaluation of tracts' segmentation. The six tracts (left and right fornix, left and right inferior cerebellar peduncle, left and right superior cerebellar peduncle) that exceeded the value of 0.19, were excluded for further analysis. A list with all abbreviations for the studied nerve tracts can be found at the github page of TractSeg ( https://github.com/MIC-DKFZ/TractSeg ).
