A Novel Approach for Separation of Background Phase in SWI Phase Data Utilizing the Harmonic Function Mean Value Property


Journal article


F. Schweser, Bw Lehr, A. Deistung, J. Reichenbach, A. Martinos
2010

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APA   Click to copy
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   Click to copy
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   Click to copy
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.



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