MR-Based Attenuation Correction in Brain PET/MR Studies: A Short Review

Abstract

In the previous few years we have witnessed to an increased diffusion of positron emission tomography/magnetic resonance (PET/MR) tomographs and equally an increasing number of clinical studies with these hybrid devices in both the neurological and psychiatric fields. Although PET/MR contains many features that facilitate its application in brain imaging, accurate quantification is still hindered by difficulties in developing MR-based attenuation correction methods. In this paper, we have reviewed the three main methods currently used for attenuation correction in PET/MR: namely segmentation-based methods including, atlas and template. In addition to procedures based on the combination of PET emission data and MR anatomical information (or reconstruction-based methods). Many research centers are actively working to refine available methods and substantial improvements are expected in future years. Clinical studies using PET/MR focused mainly on neuro-oncological and neurodegenerative disorders. Simultaneous PET/MR was shown to provide very promising scientific results and to be logistically more convenient for patients. More studies are expected in the near future, as the availability of PET/MR and the clinical use of new tracers for neurodegenerative disorders will further increase.

Keywords: PET/MR; attenuation correction; brain tumors; neurodegenerative disorders

Citation: Ciarmiello A. MR-based attenuation correction in brain PET/MR studies: A short review. Journal of Diagnostic Imaging in Therapy. 2017; 4(1): 29-34.

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http://dx.doi.org/10.17229/jdit.2017-0410-028

Copyright: © 2017 Ciarmiello A. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC By 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Article History: received 15 March 2017; accepted 06 April 2017; published online 10 April 2017.

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JDIT-2017-0410-028