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Shin PJ, Larson PEZ, Uecker M, Reed GD, Kerr AB, Tropp J, Ohliger MA, Nelson SJ, Pauly JM, Lustig M, Vigneron DB. Chemical shift separation with controlled aliasing for hyperpolarized (13) C metabolic imaging. Magn Reson Med 2014; 74:978-89. [PMID: 25298086 DOI: 10.1002/mrm.25473] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2014] [Revised: 08/15/2014] [Accepted: 09/05/2014] [Indexed: 12/21/2022]
Abstract
PURPOSE A chemical shift separation technique for hyperpolarized (13) C metabolic imaging with high spatial and temporal resolution was developed. Specifically, a fast three-dimensional pulse sequence and a reconstruction method were implemented to acquire signals from multiple (13) C species simultaneously with subsequent separation into individual images. THEORY AND METHODS A stack of flyback echo-planar imaging readouts and a set of multiband excitation radiofrequency pulses were designed to spatially modulate aliasing patterns of the acquired metabolite images, which translated the chemical shift separation problem into parallel imaging reconstruction problem. An eight-channel coil array was used for data acquisition and a parallel imaging method based on nonlinear inversion was developed to separate the aliased images. RESULTS Simultaneous acquisitions of pyruvate and lactate in a phantom study and in vivo rat experiments were performed. The results demonstrated successful separation of the metabolite distributions into individual images having high spatial resolution. CONCLUSION This method demonstrated the ability to provide accelerated metabolite imaging in hyperpolarized (13) C MR using multichannel coils, tailored readout, and specialized RF pulses.
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Affiliation(s)
- Peter J Shin
- Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA.,The UC Berkeley - UCSF Graduate Program in Bioengineering, California, USA
| | - Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA.,The UC Berkeley - UCSF Graduate Program in Bioengineering, California, USA
| | - Martin Uecker
- Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, California, USA
| | - Galen D Reed
- Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA.,The UC Berkeley - UCSF Graduate Program in Bioengineering, California, USA
| | - Adam B Kerr
- Magnetic Resonance Systems Research Laboratory, Department of Electrical Engineering, Stanford University, Stanford, California, USA
| | - James Tropp
- General Electric Healthcare, Fremont, California, USA
| | - Michael A Ohliger
- Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA
| | - Sarah J Nelson
- Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA.,The UC Berkeley - UCSF Graduate Program in Bioengineering, California, USA
| | - John M Pauly
- Magnetic Resonance Systems Research Laboratory, Department of Electrical Engineering, Stanford University, Stanford, California, USA
| | - Michael Lustig
- The UC Berkeley - UCSF Graduate Program in Bioengineering, California, USA.,Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, California, USA
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA.,The UC Berkeley - UCSF Graduate Program in Bioengineering, California, USA
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