Comparison between MRI-based attenuation correction methods for brain PET in dementia patients

Jorge Cabello, Mathias Lukas, Elena Rota Kops, André Ribeiro, N. Jon Shah, Igor Yakushev, Thomas Pyka, Stephan G. Nekolla, Sibylle I. Ziegler

Research output: Contribution to journalArticleResearchpeer-review

22 Citations (Scopus)

Abstract

Introduction: The combination of Positron Emission Tomography (PET) with magnetic resonance imaging (MRI) in hybrid PET/MRI scanners offers a number of advantages in investigating brain structure and function. A critical step of PET data reconstruction is attenuation correction (AC). Accounting for bone in attenuation maps (μ-map) was shown to be important in brain PET studies. While there are a number of MRI-based AC methods, no systematic comparison between them has been performed so far. The aim of this work was to study the different performance obtained by some of the recent methods presented in the literature. To perform such a comparison, we focused on [18F]-Fluorodeoxyglucose-PET/MRI neurodegenerative dementing disorders, which are known to exhibit reduced levels of glucose metabolism in certain brain regions. Methods: Four novel methods were used to calculate μ-maps from MRI data of 15 patients with Alzheimer’s dementia (AD). The methods cover two atlas-based methods, a segmentation method, and a hybrid template/segmentation method. Additionally, the Dixon-based and a UTE-based method, offered by a vendor, were included in the comparison. Performance was assessed at three levels: tissue identification accuracy in the μ-map, quantitative accuracy of reconstructed PET data in specific brain regions, and precision in diagnostic images at identifying hypometabolic areas. Results: Quantitative regional errors of −20–−10 % were obtained using the vendor’s AC methods, whereas the novel methods produced errors in a margin of ±5 %. The obtained precision at identifying areas with abnormally low levels of glucose uptake, potentially regions affected by AD, were 62.9 and 79.5 % for the two vendor AC methods, the former ignoring bone and the latter including bone information. The precision increased to 87.5–93.3 % in average for the four new methods, exhibiting similar performances. Conclusion: We confirm that the AC methods based on the Dixon and UTE sequences provided by the vendor are inferior to alternative techniques. As a novel finding, there was no substantial difference between the recently proposed atlas-based, template-based and segmentation-based methods.

Original languageEnglish
Pages (from-to)2190-2200
Number of pages11
JournalEuropean Journal of Nuclear Medicine and Molecular Imaging
Volume43
Issue number12
DOIs
Publication statusPublished - 1 Nov 2016
Externally publishedYes

Keywords

  • Alzheimer’s dementia
  • Attenuation correction
  • FDG-PET
  • Neurostat
  • PET/MRI

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