Magnetic resonance spectroscopic imaging (MRSI) has become an important tool in clinical settings for noninvasively obtaining spatial and metabolic information on a molecular scale. However, conventional MRSI has not been widely used in clinical studies mainly because its data acquisition is very time consuming, it has a restricted spatial coverage and a complex scan procedure for lipid suppression. The precise placement of the many lipid suppression bands is challenging and time consuming, and it requires a skilled technician with special training. In addition, conventional MRSI usually has relative low signals for J-coupled metabolites, which could provide very important biomarkers for different diseases.
Researchers at St. Jude have developed a novel, fast MR spectroscopic imaging technique, termed phase-cycled spectroscopic imaging (PCSI). PCSI has the following advantages over the conventional MRSI techniques.
- PCSI can achieve very high acquisition efficiency with a short repetition time enabling PCSI to acquire MRSI images up to 100 times faster than conventional MRSI techniques.
- PCSI offers intrinsic water and fat suppression, thereby greatly simplifying the scanning procedures and more closely resembling routine clinical scans.
- Using an ultra-low flip angle, PCSI greatly reduces RF energy deposition in subjects thousands of times compared to conventional spectroscopy sequences.
- PCSI provides higher signals for J-coupled metabolites due to a short echo time, which may make PCSI a great tool for measuring these metabolites.
The PCSI method provides a simple, flexible, and efficient way to perform MR spectroscopic imaging in the frequency domain which may enable spectroscopic imaging to play a larger role in the clinical applications.
Magnetic Resonance Spectroscopic Imaging
Granted Patents or Published Applications
Pending application filed
Related Scientific References
Guo, J. et al. Fast frequency-sweep spectroscopic imaging with an ultra-low flip angle. Sci. Rep. 6, 30066; doi: 10.1038/srep30066 (2016).
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