BISC Poster Session

[BISCp-03] Residul water removal for in vivo MRS preprocessing

Zheng-De Hong¹, *Yi-Ru Lin¹, Shang-Yueh Tsai² (1. Dept of Electronic and Computer Engineering, National Taiwan University of Science and Technology, 2. Graduate Institute of Applied Physics, National Chengchi Univeristy)

Removal of the residual water signal from in vivo spectra could enhance the reliability of metabolites quantification. Techniques such as SVD (singular value decomposition) and HLSVD (Hankel Lanczos singular value decomposition) were often applied for residual water removal. In this study, we aimed to investigate the influence of number of components. We proposed an automatic evaluation strategy to select the optimal number of components for each spectrum.