TY - GEN
T1 - Joint analysis of gyral folding and fiber shape patterns
AU - Yu, Xiang
AU - Chen, Hanbo
AU - Zhang, Tuo
AU - Hu, Xintao
AU - Guo, Lei
AU - Liu, Tianming
PY - 2013
Y1 - 2013
N2 - Cortical gyral folding pattern can be described by the hinge numbers, e.g., 2-hinge and 3-hinge gyri. Our recent studies have shown that joint analysis of 2-hinge gyral folding and its fiber connection patterns can be a powerful tool to elucidate the regularity and variability of gyral structures. However, other more complex gyral shape patterns such as 3-hinge gyri have not been investigated yet. In this paper, we proposed a novel computational framework to characterize 3-hinge gyral folding patterns and jointly analyze the correlation between folding and DTI-derived fiber orientation patterns in these regions. To characterize and differentiate these 3-hinge gyral folding patterns, an effective decision tree model is designed and applied to classify these 3-hinge gyral patches into the combinations of five basic sub-types of 'S', 'U', 'V', 'I', and other shapes. Then, the correlations between the shapes of these sub-types of 3-hinge gyri and their DTI-derived fiber connection patterns are quantitatively assessed, and our results demonstrated their close relationships. This work further replicated and strengthened our previous finding obtained in 2-hinge gyri that gyral folding patterns are closely correlated with fiber connection patterns.
AB - Cortical gyral folding pattern can be described by the hinge numbers, e.g., 2-hinge and 3-hinge gyri. Our recent studies have shown that joint analysis of 2-hinge gyral folding and its fiber connection patterns can be a powerful tool to elucidate the regularity and variability of gyral structures. However, other more complex gyral shape patterns such as 3-hinge gyri have not been investigated yet. In this paper, we proposed a novel computational framework to characterize 3-hinge gyral folding patterns and jointly analyze the correlation between folding and DTI-derived fiber orientation patterns in these regions. To characterize and differentiate these 3-hinge gyral folding patterns, an effective decision tree model is designed and applied to classify these 3-hinge gyral patches into the combinations of five basic sub-types of 'S', 'U', 'V', 'I', and other shapes. Then, the correlations between the shapes of these sub-types of 3-hinge gyri and their DTI-derived fiber connection patterns are quantitatively assessed, and our results demonstrated their close relationships. This work further replicated and strengthened our previous finding obtained in 2-hinge gyri that gyral folding patterns are closely correlated with fiber connection patterns.
KW - DTI
KW - folding pattern
KW - MRI
KW - shape analysis
UR - http://www.scopus.com/inward/record.url?scp=84881657210&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2013.6556418
DO - 10.1109/ISBI.2013.6556418
M3 - 会议稿件
AN - SCOPUS:84881657210
SN - 9781467364546
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 85
EP - 88
BT - ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
T2 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Y2 - 7 April 2013 through 11 April 2013
ER -