Journal article
F. Schweser, Bw Lehr, A. Deistung, J. Reichenbach, A. Martinos
2010
2010
Semantic Scholar
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APA
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Schweser, F., Lehr, B., Deistung, A., Reichenbach, J., & Martinos, A. (2010). A Novel Approach for Separation of Background Phase in SWI Phase Data Utilizing the Harmonic Function Mean Value Property.
Chicago/Turabian
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Schweser, F., Bw Lehr, A. Deistung, J. Reichenbach, and A. Martinos. “A Novel Approach for Separation of Background Phase in SWI Phase Data Utilizing the Harmonic Function Mean Value Property” (2010).
MLA
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Schweser, F., et al. A Novel Approach for Separation of Background Phase in SWI Phase Data Utilizing the Harmonic Function Mean Value Property. 2010.
BibTeX Click to copy
@article{f2010a,
title = {A Novel Approach for Separation of Background Phase in SWI Phase Data Utilizing the Harmonic Function Mean Value Property},
year = {2010},
author = {Schweser, F. and Lehr, Bw and Deistung, A. and Reichenbach, J. and Martinos, A.}
}
Abstract
INTRODUCTION – Magnetic resonance phase data directly reflects local magnetic field changes and is used for shimming procedures, interpretation or correction of artifacts, and as anatomical contrast complementary to magnitude images [1]. Most of these applications require separation of local phase and background phase contributions that result from air-tissue and bone-tissue interfaces, eddy currents, temperature fluctuations or gradient deviations. Although several heuristic preprocessing methods [1, 2] have been established for this non-trivial task, it has been shown that these methods exhibit significant concomitant degradation of local phase information [3]. In this contribution, we present, for the first time, a non-heuristic, parameter-free approach for high-precision separation of local phase and background phase contributions for in vivo SWI-data.
