Pre-Processing Phase : A Quantitative Analysis of Established Methods in SWI


Journal article


F. Schweser, A. Rodriguez-Ruano, A. Deistung, B. W. Lehr, M. Desco, J. Reichenbach
2009

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APA   Click to copy
Schweser, F., Rodriguez-Ruano, A., Deistung, A., Lehr, B. W., Desco, M., & Reichenbach, J. (2009). Pre-Processing Phase : A Quantitative Analysis of Established Methods in SWI.


Chicago/Turabian   Click to copy
Schweser, F., A. Rodriguez-Ruano, A. Deistung, B. W. Lehr, M. Desco, and J. Reichenbach. “Pre-Processing Phase : A Quantitative Analysis of Established Methods in SWI” (2009).


MLA   Click to copy
Schweser, F., et al. Pre-Processing Phase : A Quantitative Analysis of Established Methods in SWI. 2009.


BibTeX   Click to copy

@article{f2009a,
  title = {Pre-Processing Phase : A Quantitative Analysis of Established Methods in SWI},
  year = {2009},
  author = {Schweser, F. and Rodriguez-Ruano, A. and Deistung, A. and Lehr, B. W. and Desco, M. and Reichenbach, J.}
}

Abstract

INTRODUCTION – Susceptibility weighted MR phase data provide anatomical contrast complementary to magnitude images [1, 2] by directly reflecting local magnetic field changes. Ambitious approaches for quantitative analysis of phase data were recently published, e.g., evaluation of absolute phase differences [3] or mapping of magnetic susceptibility [4-6]. These methods have interesting applications but are prone to imperfect pre-processing which is required to resolve phase aliasing and suppress strong contributions from air-tissue and bone-tissue interfaces [7,8]. It was described by several groups [3, 8-10] that contrast in pre-processed phase data strongly depends on the chosen filter type and filter parameters. However, the effect of preprocessing on local phase information has not yet been analyzed in-depth since the true local phase is generally unknown. In this contribution we quantitatively analyzed well-established methods for estimation of background field contributions based on a realistic numerical whole-body model. Validity of the results for in vivo data was demonstrated based on volunteer data.



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