Venkata Veerendranadh Chebrolu1, Michael Wullenweber2, Andreas Schaefer2, Johann Sukkau2, and Peter Kollasch1
1Siemens Medical Solutions USA, Inc., Rochester, MN, United States, 2Siemens Healthcare GmbH, Erlangen, Germany
1Siemens Medical Solutions USA, Inc., Rochester, MN, United States, 2Siemens Healthcare GmbH, Erlangen, Germany
In this work, we present an algorithm for
automated identification of fat and water proton spectral characteristics and
evaluate its performance in 30 proton spectra from breast (number of subjects: n=20), ankle (n=11), and knee (n=9)
anatomical regions.
Figure 1: Flowchart of the proposed algorithm for
automated identification of spectral characteristics.
Figure 3: Box-and-whisker
plots of the frequency difference between water and (main) fat peak (Delta Fat Peak) for the complete imaging
volume proton spectra from the knee (number of subjects: n=9), breast (n=20),
and ankle (n=11) regions. Box-and-whisker
plots of the frequency difference between the water peak and the “junction”
frequency (Delta Junction) are also shown. The results show the impact of field
homogeneity on the spectra in different anatomical regions.
