Attenuation correction synthesis for hybrid PET-MR scanners: Application to brain studies

Ninon Burgos*, M. Jorge Cardoso, Kris Thielemans, Marc Modat, Stefano Pedemonte, John Dickson, Anna Barnes, Rebekah Ahmed, Colin J. Mahoney, Jonathan M. Schott, John S. Duncan, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sebastien Ourselin

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

191 Citations (Scopus)

Abstract

Attenuation correction is an essential requirement for quantification of positron emission tomography (PET) data. In PET/CT acquisition systems, attenuation maps are derived from computed tomography (CT) images. However, in hybrid PET/MR scanners, magnetic resonance imaging (MRI) images do not directly provide a patient-specific attenuation map. The aim of the proposed work is to improve attenuation correction for PET/MR scanners by generating synthetic CTs and attenuation maps. The synthetic images are generated through a multi-atlas information propagation scheme, locally matching the MRI-derived patient's morphology to a database of MRI/CT pairs, using a local image similarity measure. Results show significant improvements in CT synthesis and PET reconstruction accuracy when compared to a segmentation method using an ultrashort-echo-time MRI sequence and to a simplified atlas-based method.

Original languageEnglish
Article number6858020
Pages (from-to)2332-2341
Number of pages10
JournalIEEE Transactions on Medical Imaging
Volume33
Issue number12
DOIs
Publication statusPublished - 1 Dec 2014
MoE publication typeA1 Journal article-refereed

Keywords

  • Attenuation correction
  • image synthesis
  • positron emission tomography/magnetic resonance (PET/MR)

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