Meeting Banner
Abstract #3669

Effect of Combination of B Values and Rician Noise Filter on Diffusional Kurtosis and Tensor Imaging Metrics in Spinal Cord in vivo

Masaaki Hori1, Koji Kamagata1, Mariko Yoshida1, Nozomi Hamasaki2, Keigo Shimoji1, Yuriko Suzuki3, Yoshitaka Masutani4, Issei Fukunaga5, 6, Shigeki Aoki1

1Department of Radiology, School of Medicine, Juntendo University, Tokyo, Japan; 2Juntendo University Hospital, Tokyo, Japan; 3Philips Electronics Japan, Ltd., Tokyo, Japan; 4Division of Radiology, and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; 5Department of Radiology, Juntendo University, Tokyo, Japan; 6Graduate School of Human Health Sciences, Tokyo, Japan

The purpose of this exhibit is to present the effects of the combinations of b-values and Rician noise filter for DTI and DKI metrics in the spinal cord, for clinical use in particular. The different combinations of b values result in the different diffusion metrics, such as mean kurtosis. Therefore, suitable selection of b values is important for the specific purpose of the study. Moreover, Rician denoising technique lead to appropriate DKI and DTI metrics estimation, mean kurtosis in particular because the diffusion MR images of spinal cord often suffer from low signal-to-noise ratio in vivo.

Keywords

accurate addition affected anisotropy apparent applications appropriate assist background better biomedical brain clinical coefficient combination combinations complementary condition contents cord cords coup derived diffusion diffusional diffusivity disease division dramatically electronics engineering estimation evaluate evaluation example examples exhibit explain fact filter filtering fitting fractional general graduate health hospital human illustrate important in vivo intensity intra investigation japan kurtosis lead local logarithm medicine metrics model models moreover nature noise note often outline parabola particular problematic quantification quantitative radiology rarely relatively removal school sciences selected selection sensitive spinal structural sufficient suitable summary tend tensor tumors unlike useful water words