Yi-Ping Chao1, Kuan-Hung Cho1, Chun-Hung Yeh2, Kun-Hsien Chou3, Jyh-Horng Chen1, Ching-Po Lin2,4
1Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan; 2Institute of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan; 3Institute of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan; 4Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan
In this study, population-based probabilistic connection topographies of the CC, in the standard MNI space, were estimated by incorporating anatomical cytoarchitectural parcellation with high angular resolution diffusion imaging (HARDI) tractography. Using q-ball imaging (QBI) with MFACT algorithm, a more detailed CC subdivision according to 27 selected Brodmanns areas (BAs) was demonstrated. Further, it allowed an assignment of the quantitative distribution of fractional anisotropy (FA) values derived from diffusion tensor imaging (DTI) data of 20 normal healthy subjects to evaluate the correlation with neural composition in distinct CC regions explored by previous postmortem study.