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

Semantic Scholar
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APA
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
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
Schweser, F., et al. A Novel Approach for Separation of Background Phase in SWI Phase Data Utilizing the Harmonic Function Mean Value Property. 2010.


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.