FDM as a tool for Time Resolved Magnetic Resonance Spectroscopy.

• Grant number: 11/15741-0
• Support Opportunities: Scholarships in Brazil - Master
• Start date: March 01, 2012
• End date: July 31, 2013
• Field of knowledge: Physical Sciences and Mathematics - Physics - Condensed Matter Physics
• Principal Investigator: Alberto Tannús
• Grantee: Cíntia Maira Pereira da Silva
• Host Institution: Instituto de Física de São Carlos (IFSC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated research grant: 05/56663-1 - Magnetic resonance imaging and in vivo spectroscopy center for animal model studies, AP.CINAPCE.TEM

Abstract

In vivo Magnetic Resonance Spectroscopy (MRS) has a relatively high sensitivity in determining a wide range of tissue metabolites, chemical reaction rates, bioenergetics and its variations caused by stimulation or pathological disturbance in spatially selected regions in a living organ (for example, in a brain). However one of the major limitations of in vivo proton MRS is a measure of individual contribution and the identification of metabolites in a spectrum acquired with a short TE. This makes it difficult to do in vivo experiments to analyze the dynamic changes of metabolites in studies of functional character, since these changes occur in a time shorter than the maximum resolution permitted by current methods used in spectrometers. One of the biggest drawbacks of spectral analysis methods currently employed, the Fourier Transform, is related to the artifacts generated when you want to truncate the time signal. Recent studies have been conducted using data processing algorithms based on Filtered Diagonalization Method (FDM) with good results in 1D and 2D spectra. FDM shares some characteristics of various linear algebraic approaches, but is numerically more efficient with respect to data size and truncated signals when compared to the Fast Fourier Transform (FFT). In this study we intend to validate the FDM method initially for time-resolved 1H MRS, through experiments and simulations of dynamic variations in the concentration of human brain metabolites, whose time resolution is generally not well resolved by FFT.

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

SILVA, Cíntia Maira Pereira da. KBDM as a tool for Magnetic Resonance spectroscopy signal processing. 2013. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Física de São Carlos (IFSC/BT) São Carlos.