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Abstract #1937

Template Estimation for a Group of DSI Datasets Using LDDMM

Yung-Chin Hsu1, Ching-Han Hsu, Wen-Yih Isaac Tseng2

1National Tsing Hua University, Hsinchu, Taiwan, Taiwan; 2National Taiwan University College of Medicine and Hospital

To our best knowledge, no method has been proposed to construct the template which is intrinsically from a group of DSI datasets. In the current study, we proposed an algorithm to iteratively estimate the group-specific DSI template, which incorporated a LDDMM-based method capable of spatially transforming between two DSI datasets. Seventy DSI datasets were recruited into the template estimation procedure. The results show the proposed method could construct the DSI template where many important fibers could be tracked out on it, indicating the effectiveness of the method.