Volume 79, Issue 4 pp. 2183-2189
Note

A chemical shift encoding (CSE) approach for spectral selection in fluorine-19 MRI

Kai D. Ludwig

Kai D. Ludwig

Medical Physics, University of Wisconsin, Madison, Wisconsin, USA

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Diego Hernando

Diego Hernando

Medical Physics, University of Wisconsin, Madison, Wisconsin, USA

Radiology, University of Wisconsin, Madison, Wisconsin, USA

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Nathan T. Roberts

Nathan T. Roberts

Radiology, University of Wisconsin, Madison, Wisconsin, USA

Electrical and Computer Engineering, University of Wisconsin, Madison, Wisconsin, USA

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Ruud B. van Heeswijk

Ruud B. van Heeswijk

Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland

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Sean B. Fain

Corresponding Author

Sean B. Fain

Medical Physics, University of Wisconsin, Madison, Wisconsin, USA

Radiology, University of Wisconsin, Madison, Wisconsin, USA

Biomedical Engineering, University of Wisconsin, Madison, Wisconsin, USA

Correspondence to: Sean B. Fain, PhD, 1111 Highland Avenue, Room 1133 Wisconsin Institutes for Medical Research, University of Wisconsin-Madison, Madison, WI 53705-2275, USA. E-mail: [email protected].Search for more papers by this author
First published: 22 August 2017
Citations: 11

Abstract

Purpose

To develop a chemical shift encoding (CSE) approach for fluorine-19 MRI of perfluorocarbons in the presence of multiple known fluorinated chemical species.

Theory and Methods

A multi-echo CSE technique is applied for spectral separation of the perfluorocarbon perfluoro-15-crown-5-ether (PFCE) and isoflurane (ISO) based on their chemical shifts at 4.7 T. Cramér-Rao lower bound analysis is used to identify echo combinations with optimal signal-to-noise performance. Signal contributions are fit with a multispectral fluorine signal model using a non-linear least squares estimation reconstruction directly from k-space data. This CSE approach is tested in fluorine-19 phantoms and in a mouse with a 2D and 3D spoiled gradient-echo acquisition using multiple echo times determined from Cramér-Rao lower bound analysis.

Results

Cramér-Rao lower bound analysis for PFCE and ISO separation shows signal-to-noise performance is maximized with a 0.33 ms echo separation. A linear behavior (R2 = 0.987) between PFCE signal and known relative PFCE volume is observed in CSE reconstructed images using a mixed PFCE/ISO phantom. Effective spatial and spectral separation of PFCE and ISO is shown in phantoms and in vivo.

Conclusion

Feasibility of a gradient-echo CSE acquisition and image reconstruction approach with optimized noise performance is demonstrated through fluorine-19 MRI of PFCE with effective removal of ISO signal contributions. Magn Reson Med 79:2183–2189, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

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