Reliable In vivo Lactate and Lipid Estimation in Glioma Patients

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 1, Issue , 2003, Pages 482-485

  Li, Xiaojuan ^a   Nelson, Sarah J ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Brain tumors; Lactate; Lipid; Magnetic Resonance Spectroscopic Imaging; Non linear fitting; Quantification; Voigt models

Indexed keywords

ALGORITHMS; BRAIN; COMPUTER SIMULATION; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; LIPIDS; MAGNETIC RESONANCE IMAGING; METABOLISM; SPECTROSCOPIC ANALYSIS; TISSUE; TUMORS;

BRAIN TUMORS; LACTATE; MAGNETIC RESONANCE SPECTROSCOPIC IMAGING; NONLINEAR FITTING; VOIGT MODELS;

BIOMEDICAL ENGINEERING;

EID: 1542272587     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. J. Star-Lack, et al., "In vivo lactate editing with simultaneous detection of choline, creatine, NAA, and lipid singlets at 1.5 T using PRESS excitation with applications to the study of brain and head and neck tumors," J Magn Reson, vol. 133, pp. 243-54, 1998.
2. th ISMRM, 2003.
3. S. D. Bruce, et al., "An analytical derivation of a popular approximation of the Voigt function for quantification of NMR spectra," J Magn Reson, vol. 142, pp. 57-63, 2000.
4. S. J. Nelson, "Analysis of volume MRI and MR spectroscopic imaging data for the evaluation of patients with brain tumors.," Magn. Reson. Med., vol. 46, pp. 228-239, 2001.
5. W. H. Press, et al., Numerical Recipes in C: Cambridge University Press, 1992.