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

Research output: Contribution to journalArticleScientificpeer-review

Researchers

  • 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

Research units

  • Massachusetts General Hospital
  • UCL University College London
  • University College London

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.

Details

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

    Research areas

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

ID: 9014625