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J Magn Reson Imaging. 2013 Jan;37(1):227-32. doi: 10.1002/jmri.23762. Epub 2012 Aug 3.

Subject-specific models of susceptibility-induced B0 field variations in breast MRI.

Author information

  • 1Radiology, Stanford University, Stanford, California, USA. cjordan@stanford.edu

Abstract

PURPOSE:

To rapidly calculate and validate subject-specific field maps based on the three-dimensional shape of the bilateral breast volume.

MATERIALS AND METHODS:

Ten healthy female volunteers were scanned at 3 Tesla using a multi-echo sequence that provides water, fat, in-phase, out-of-phase, and field map images. A shape-specific binary mask was automatically generated to calculate a computed field map using a dipole field model. The measured and computed field maps were compared by visualizing the spatial distribution of the difference field map, the mean absolute error, and the 80% distribution widths of frequency histograms.

RESULTS:

The 10 computed field maps had a mean absolute error of 38 Hz (0.29 ppm) compared with the measured field maps. The average 80% distribution widths for the histograms of all of the computed, measured, and difference field maps are 205 Hz, 233 Hz, and 120 Hz, respectively.

CONCLUSION:

The computed field maps had substantial overall agreement with the measured field maps, indicating that breast MRI field maps can be computed based on the air-tissue interfaces. These estimates may provide a predictive model for field variations and thus have the potential to improve applications in breast MRI.

Copyright © 2012 Wiley Periodicals, Inc.

PMID:
22865658
[PubMed - indexed for MEDLINE]
PMCID:
PMC3492544
Free PMC Article
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