J Korean Soc Magn Reson Med.  2000 Dec;4(2):128-135.

Development of PC Based Signal Postprocessing System in MR Spectroscopy: Normal Brain Spectrum in 1.5T MR Spectroscopy

• Paik MY
• Kang WS
• Lee HY
• Shin WJ
• Eun CK
• Mun CW

Abstract

PURPOSE
The aim of this study is to develope the Magnetic Resonance Spectroscopy(MRS) data processing S/W, which plays an important role as a diagnostic tool in clinical field.
MATERIALS AND METHODS
Post-processing software of MRS based on graphical user interface(GUI) under windows operating system of personal computer(PC) was developed using MATLAB(Mathwork, U.S.A.). This tool contains many functions to increase the quality of spectrum data such as DC correction, zero filling, line broadening, Gauss-Lorentzian filtering, phase correction, etc. And we obtained the normal human brain 1H MRS data from parietal white matter, basal ganglia and occipital grey matter region using 1.5T Gyroscan ACS-NT R6 (Philips, Amsterdam, Netherland) MRS package. The analysis of the MRS peaks were performed by obtaining the ratio of peak area.
RESULTS
The peak ratios of NAA/Cr, Cho/Cr, MI/Cr for the different MRS machines have a little different values. But these peak ratios were not significantly different between different echo time MRS peak ratios in the same machine (p<0.05).
CONCLUSION
MRS post-processing S/W based on GUI using PC was developed and applied to the analysis of normal human brain 1H MRS. This independent MRS processing job increases the performance and throughput of patient scan of main console. Finally, we suggest that the database for normal in-vivo human MRS data should be obtained before clinical applications.

Keyword

Magnetic Resonance Spectroscopy(MRS); Post-processing; Graphical User Interface (GUI)

MeSH Terms

Basal Ganglia
Brain*
Humans
Magnetic Resonance Spectroscopy*
Rabeprazole