Extension of the MR field-of-view with HUGE for MR-based attenuation correction in integrated PET/MR
Maike E. Lindemann1, Jan Ole Blumhagen2, and Harald H. Quick1,3
1High Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
In
quantitative PET-imaging, it is essential to correct the attenuation of photons
in tissue. In combined PET/MR-imaging the attenuation correction (AC) is based
on MR-data and subsequent tissue class segmentation. The MR-FOV is limited due
to B0-inhomogeneities and gradient nonlinearities. Therefore, the
AC-map is truncated and reconstructed PET-data are biased. HUGE (B0-Homogenization
using gradient enhancement), which determines an optimal readout gradient to
compensate gradient nonlinearities, is evaluated in phantom experiments and
applied to MR-imaging of volunteers. The extension of the MR-FOV for MR-based AC
showed an improvement of PET-quantification in integrated PET/MR-imaging by
reducing the truncated areas of the AC-map.
This abstract and the presentation materials are available to members only;
a login is required.