Volume 77, Issue 5 pp. 2066-2076

Full Paper

Resolving phase ambiguity in dual-echo dixon imaging using a projected power method

Corresponding Author

Tao Zhang

[email protected]

Department of Radiology, Stanford University, Stanford, California, USA

Department of Electrical Engineering, Stanford University, Stanford, California, USA

Correspondence to: Tao Zhang, Ph.D.; Packard Electrical Engineering, Room 352, 350 Serra Mall, Stanford, CA 94305-9510. E-mail: [email protected]Search for more papers by this author

Yuxin Chen,

Yuxin Chen

Department of Electrical Engineering, Princeton University, Princeton, New Jersey, USA.

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Shanshan Bao,

Shanshan Bao

Department of Radiology, Stanford University, Stanford, California, USA

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Marcus T. Alley,

Marcus T. Alley

Department of Radiology, Stanford University, Stanford, California, USA

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John M. Pauly,

John M. Pauly

Department of Electrical Engineering, Stanford University, Stanford, California, USA

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Brian A. Hargreaves,

Brian A. Hargreaves

Department of Radiology, Stanford University, Stanford, California, USA

Department of Electrical Engineering, Stanford University, Stanford, California, USA

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Shreyas S. Vasanawala,

Shreyas S. Vasanawala

Department of Radiology, Stanford University, Stanford, California, USA

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Tao Zhang,

Corresponding Author

Tao Zhang

[email protected]

Department of Radiology, Stanford University, Stanford, California, USA

Department of Electrical Engineering, Stanford University, Stanford, California, USA

Correspondence to: Tao Zhang, Ph.D.; Packard Electrical Engineering, Room 352, 350 Serra Mall, Stanford, CA 94305-9510. E-mail: [email protected]Search for more papers by this author

Yuxin Chen,

Yuxin Chen

Department of Electrical Engineering, Princeton University, Princeton, New Jersey, USA.

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Shanshan Bao,

Shanshan Bao

Department of Radiology, Stanford University, Stanford, California, USA

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Marcus T. Alley,

Marcus T. Alley

Department of Radiology, Stanford University, Stanford, California, USA

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John M. Pauly,

John M. Pauly

Department of Electrical Engineering, Stanford University, Stanford, California, USA

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Brian A. Hargreaves,

Brian A. Hargreaves

Department of Radiology, Stanford University, Stanford, California, USA

Department of Electrical Engineering, Stanford University, Stanford, California, USA

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Shreyas S. Vasanawala,

Shreyas S. Vasanawala

Department of Radiology, Stanford University, Stanford, California, USA

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First published: 25 May 2016

https://doi.org/10.1002/mrm.26287

Citations: 16

Portions of this work have been accepted for presentation at the 24th Annual Meeting of ISMRM in 2016.

Conflict of Interest: Tao Zhang, Marcus Alley, John Pauly, Brian Hargreaves, and Shreyas Vasanawala have research collaboration with GE Healthcare.

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Abstract

Purpose

To develop a fast and robust method to resolve phase ambiguity in dual-echo Dixon imaging.

Methods

A major challenge in dual-echo Dixon imaging is to estimate the phase error resulting from field inhomogeneity. In this work, a binary quadratic optimization program was formulated to resolve the phase ambiguity. A projected power method was developed to efficiently solve the optimization problem. Both the 1-peak fat model and 6-peak fat model were applied to three-dimensional (3D) datasets. Additionally, the proposed method was extended to dynamic magnetic resonance imaging (MRI) applications using the 6-peak fat model. With institutional review board (IRB) approval and patient consent/assent, the proposed method was evaluated and compared with region growing on 29 consecutive 3D high-resolution patient datasets.

Results

Fast and robust water/fat separation was achieved by the proposed method in different representative 3D datasets and dynamic 3D datasets. Superior water/fat separation was achieved using the 6-peak fat model compared with the 1-peak fat model. Compared to region growing, the proposed method reduced water/fat swaps from 76 to 7% of the patient cohort.

Conclusion

Supporting Information

REFERENCES

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Volume77, Issue5

May 2017

Pages 2066-2076

Resolving phase ambiguity in dual-echo dixon imaging using a projected power method

Abstract

Purpose

Methods

Results

Conclusion

Supporting Information

REFERENCES

Citing Literature

References

Information

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Resolving phase ambiguity in dual-echo dixon imaging using a projected power method

Abstract

Purpose

Methods

Results

Conclusion

Supporting Information

REFERENCES

Citing Literature

References

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