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Optimization of Post-Processing and Quantitation of 31P Chemical Shift Imaging Data


Texas A&M University (Texas)

Andrew Van, Pascal Sati, Silvina Horovitz

Parkinson’s disease (PD) is a motor disorder caused by the loss of dopaminergic neurons in the substantia nigra. It is thought that impaired mitochondrial function might be a contributing factor the loss of such neurons. Therefore, there has been increasing interest in examining mitochondrial function as a biomarker for PD. To quantify mitochondrial function, 31P Chemical Shift Imaging (CSI) is used to characterize Phosphocreatine (PCr) levels in the Substantia Nigra. However, current post-processing and quantitation methods have not provided the needed data exporting features needed for high volume data analysis. To this end, we employ the use of the java based Magnetic Resonance User Interface (jMRUI) package to provide full automation in the post-processing and quantitation of collected 31P CSI data. The jMRUI package provides Fourier transform, Apodization, frequency shift, and spectral fitting among other features for post-processing CSI data. Additionally, a MATLAB script was created to quickly display and export quantified output data from jMRUI.  Quantified data processed from jMRUI has been shown to be comparable to the current post-processing method. Data from 12 subjects have also been processed using the newly developed script. Use of the jMRUI automated post-processing script has provided a faster, more efficient method for examining mitochondrial function with 31P CSI.

Last updated November 25, 2013