Volume 1 Supplement 1
Attenuation correction synthesis for hybrid PET-MR scanners: validation for brain study applications
© Burgos et al; licensee Springer 2014
Published: 29 July 2014
In this work, we further validate a CT and attenuation map (μ-map) synthesis algorithm .
The CT synthesis method relies on a pre-acquired set of aligned MRI/CT pairs from multiple subjects. Each MRI from the database is non-rigidly registered to the target MRI. The CTs in the database are then mapped using the same transformation to the target MRI. A local image similarity measure between the target MRI and the set of registered MRIs is used as a surrogate of the underlying morphological similarity. Finally, the synthetic CT is generated using a voxel-wise weighting scheme, and converted to linear attenuation coefficients by a piecewise linear transformation.
Following the proposed method, a pseudo CT (pCT) was generated using only the MRI of the subject and compared to the ground truth CT, validating the accuracy of the CT synthesis. A PET image (PETpCT) was then reconstructed with an off-line version of the Siemens Healthcare reconstruction software using the pCT μ-map, and compared with the gold standard PET reconstructed using the CT μ-map.
Average and SD of the mean absolute residual and mean residual between the ground truth CT and both the pseudo CT, best-atlas CT (baCT) and UTE CT (left column); average and SD of the relative MAR and relative MR between the gold standard CT PET and both the pseudo CT, best-atlas CT and UTE PETs (right column).
CT (HU) - Head
PET (%) - Brain
This work was supported by an IMPACT studentship funded jointly by Siemens and the UCL FES. The Dementia Research Centre is an Alzheimer’s Research UK Co-ordinating Centre and has also received equip- ment funded by Alzheimer’s Research UK and Brain Research Trust. Funding was received from the EPSRC (EP/H046410/1, EP/J020990/1, EP/K005278), the MRC (MR/J01107X/1), the EU-FP7 project VPH- DARE@IT (FP7-ICT-2011-9-601055) and the NIHR Biomedical Research Unit (Dementia) at UCL. This work was also supported by researchers at the NIHR UCLH BRC (including the High Impact Initiative).
- Burgos N, Cardoso M, Modat M, Pedemonte S, Dickson J, Barnes A, Duncan JS, Atkinson D, Arridge SR, Hutton BF, Ourselin S: Attenuation Correction Synthesis for Hybrid PET-MR Scanners. MICCAI 2013, 147–154.Google Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.