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Abstract #4473

Novel Standardization Algorithm GAMA for Repetitive Evaluation of Fractional Anisotropy in Diffusion Tensor Imaging

Akira Matsushita1, Satoru Osuka1, Yasushi Shibata1, Kousaku Saotome2, Yasushi Nagatomo3, Yoji Komatsu4, Satoshi Ayuzawa1, Akira Matsumura1

1Department of Neurosurgery, University of Tsukuba, Tsukuba, Ibaraki, Japan; 2Dept. of Radiological Technology, Tsukuba Medical Center Hospital, Tsukuba, Ibaraki, Japan; 3Dept.of Neurosurgery, Mito Gamma House, Katsuta, Ibaraki, Japan; 4Dept. of Neurosurgery, Tsukuba Medical Center Hospital, Tsukuba, Ibaraki, Japan

It is important that the region of interest (ROI) has enough repeatability especially for serial measurement. We developed the novel algorithm and software GAMA using diffusion tensor imaging. The GAMA can point out the regions as corpus callosum or pyramidal tract automatically. Therefore, we can use GAMA with very brief handling. Additionally, GAMA could evaluate FA in that region with higher reproducibility than the conventional ROI methods with the free-handed ROI or the size-fixed sphere ROI.