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MRI with phaseless encoding
Author(s) -
Hennel Franciszek,
Pruessmann Klaas P.
Publication year - 2017
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.26497
Subject(s) - fourier transform , optics , encoding (memory) , fourier analysis , physics , computer science , phase (matter) , signal (programming language) , nuclear magnetic resonance , algorithm , artificial intelligence , quantum mechanics , programming language
Purpose Fourier encoded MRI signal is complex and, therefore, sensitive to uncontrolled phase variations caused, e.g., by object motion. An alternative encoding is proposed which leads to phaseless (positive real) signals and allows the phase fluctuations to be removed by simple magnitude calculation before the Fourier transform. Theory and Methods Phaseless encoding uses harmonic modulation of the longitudinal magnetization with different frequencies and phases before excitation. It can be combined with Fourier encoding of complementary dimensions to produce, e.g., a 3D version of echo planar imaging insensitive to intershot phase variations. It can also be mixed with Fourier encoding of the same dimension allowing a high‐resolution image to be obtained from magnitude‐reconstructed low‐resolution components. The latter is a generalization of the super‐resolution MRI with microscopic tagging proposed recently. Improved reconstruction for this technique was adopted from its optical analogue, harmonic excitation light microscopy (HELM). Results Artifact free images were obtained despite phase fluctuations caused by random receiver reference and object motion during diffusion weighting. Proposed reconstruction of mixed‐encoded data reaches higher resolution than the original super‐resolution method. Conclusion Spatial information can be encoded in the magnitude of the MR signal rendering the experiment insensitive to phase fluctuations. Magn Reson Med 78:1029–1037, 2017. © 2016 International Society for Magnetic Resonance in Medicine