Implementation of multi-echo–based correlated spectroscopic imaging and pilot findings in human brain and calf muscle

✍ Scribed by Gaurav Verma; Scott Lipnick; Saadallah Ramadan; Rajakumar Nagarajan; M. Albert Thomas

• Publisher: John Wiley and Sons
• Year: 2011
• Tongue: English
• Weight: 764 KB
• Volume: 34
• Category: Article
• ISSN: 1053-1807
• DOI: 10.1002/jmri.22624

✦ Synopsis

Abstract

Purpose:

To implement a spatially encoded correlated spectroscopic imaging (COSI) sequence on 3 Tesla (T) MRI/MR spectroscopy scanners incorporating four echoes to collect four phase‐encoded acquisitions per repetition time (TR), and to evaluate the performance and reliability of this four‐dimensional (4D) multi‐echo COSI (ME‐COSI) sequence in brain and calf muscle.

Materials and Methods:

Typical scan parameters for the 4D datasets were as follows: repetition time = 1500 ms, 2000 Hz bandwidth, 8 × 8 spatial encoding, one average, 64 Δt~1~ increments and the scan duration was 25 min. The performance and test–retest reliability of ME‐COSI were evaluated with phantoms and in the occipitoparietal brain tissues and calf of six healthy volunteers (mean age = 32 years old).

Results:

Regional differences in concentrations of lipids, creatine (Cr), choline (Ch), and carnosine (Car) were observed between spectra from voxels located in tibial marrow, tibialis anterior, and soleus muscle. Diagonal and cross‐peak resonances were identified from several brain metabolites including N‐acetyl aspartate (NAA), Ch, Cr, lactate (Lac), aspartate (Asp), glutathione (GSH), and glutamine\glutamate (Glx). Coefficients of variation (CV) in metabolite ratios across repeated measurements were <15% for diagonal and <25% for cross‐peaks observed in vivo.

Conclusion:

The ME‐COSI sequence reliably acquired spatially resolved 2D Correlated Spectroscopy (COSY) spectra demonstrating the feasibility of differentiating spatial variation of metabolites in different tissues. Multi‐echo acquisition shortens scan duration to clinically feasible times. J. Magn. Reson. Imaging 2011;. © 2011 Wiley‐Liss, Inc.