Meeting Banner
Abstract #4403

The Potential Underestimation of Amino Acids for the MR Spectra Analyzed by LCModel: The Study of Model Spectra.

Hsiu-Fen Lin1, Cheng-Wen Ko1, Shang-Yueh Tsai2, 3, Ping-Hong Lai4, 5, Thomas Lange6

1Dept. of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan; 2Graduate Institute of Applied Physics, National Chengchi University, Taipei, Taiwan; 3Research Center for Mind, Brain and Learning, National Chengchi University, Taipei, Taiwan; 4Dept. of Radiology, Veterans General Hospital-Kaohsiung, Kaohsiung, Taiwan; 5School of Medicine, National Yang-Ming University, Taipei, Taiwan; 6Department of Radiology, University Medical Center Freiburg, Freiburg, Germany

Amino acids such as valine, isoleucine and leucine have been recognized as key metabolites to categorize brain abscesses. In this study, we investigated the potential underestimation of amino acids caused by basis spectra for abscess patients. Short TE spectra were analyzed by LCModel using basis set of AA and that of valine, isoleucine and leucine respectively. Cramer-Rao lower bounds were used as the criteria to identify the presence of amino acids in MRS. Our result suggests that using individual model spectra as basis sets would achieve better fitting than using synthetic multiple model spectra for J-coupled metabolites.

Abstract PDF E-Poster Video

Keywords

abscess abscesses acetate achieve acid acids acquiring acquisitions addition additional alanine amino analyzed applied aware basis become better bias blue bounds brain categorize caused characteristics chem chemical coil combination composed composition computer confirmed considered contained coupled coupling cram criteria dept detected diagnosed diagnosis either electric engineering equal example facilitate fitted fitting gamma general generated glucose glutamate graduate hand head hong hospital identify identifying illustrated in vivo included includes indicated indiscernible individual institute investigated investigators lactate learning materials meanwhile medical medicine metabolites mind ming modality model national need obvious patients phantom physics ping poor potential precisely presence press protocol proton quadrature quality quantification quantified quantitative radiologists radiology recognized reduce reliability reliable reliably respectively school science separate series sets short simulated smaller smith solution spec spectra spectroscopy spectrum studies successfully suggests summation synthesis synthesized synthetic system table terms tumors underestimation underwent veterans visual widely yang