Meeting Banner
Abstract #1342

Application of MR-based truncation correction (HUGE) in whole-body PET/MR hybrid imaging

Maike E. Lindemann1, Mark Oehmigen1, Jan Ole Blumhagen2, and Harald H. Quick1,3

1University Hospital Essen, Essen, Germany, 2Siemens Healthcare GmbH, 3Erwin L. Hahn Institute for Magnetic Resonance Imaging

In quantitative PET-imaging, it is essential to correct for 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, was applied in whole-body PET/MR examinations of 24 oncologic patients. 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.

Join Here