Abstract #3057

Evaluation of tractography using Fiberfox for whole brain connectome analysis

Hu Cheng¹, Ahmad Abdulrahman M Alhulail², and Sharlene Newman¹

¹Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States, ²Department of Physics, Indiana University, Bloomington, IN, United States

Due to the complexity of brain microstructure and organization, the validation of tractography results remains a challenging problem. In this work, effect of SNR and b value of diffusion imaging on the variability and errors of tractography was evaluated through a software phantom developed by Tractometer. Three fiber tracking algorithms based on DTI, CSD, and Q-sampling were tested. Large false positive and false negative rate was seen for all methods, regardless of SNR or b value. A moderate thresholding can reduce false positive rate and total error rate.

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