Journal Article

FZJ-2018-06697

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png An MR technique for simultaneous quantitative imaging of water content, conductivity and susceptibility, with application to brain tumours using a 3T hybrid MR-PET scanner

Liao, Y.FZJ* ; Oros-Peusquens, A.-M. (Corresponding author)FZJ* ; Lindemeyer, J.FZJ* ; Lechea, N.FZJ* ; Weiß -Lucas, C. ; Langen, K.-J.FZJ* ; Shah, N. J.FZJ*

2019
Macmillan Publishers Limited, part of Springer Nature [London]

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Please use a persistent id in citations: http://hdl.handle.net/2128/21238  doi:10.1038/s41598-018-36435-8

Abstract: Approaches for the quantitative mapping of water content, electrical conductivity and susceptibility have been developed independently. The purpose of this study is to develop a method for simultaneously acquiring quantitative water content, electrical conductivity and susceptibility maps based on a 2D multi-echo gradient echo sequence. Another purpose is to investigate the changes in these properties caused by brain tumours. This was done using a 3T hybrid magnetic resonance imaging and positron emission tomography (MR-PET) scanner. Water content maps were derived after performing T2* and transmit-receive field bias corrections to magnitude images essentially reflecting only the H2O content contrast. Phase evolution during the multi-echo train was used to generate field maps and derive quantitative susceptibility, while the conductivity maps were retrieved from the phase value at zero echo time. Performance of the method is demonstrated on phantoms and two healthy volunteers. In addition, the method was applied to three patients with brain tumours and a comparison to maps obtained from PET using O-(2-[18 F]fluoroethyl)-L-tyrosine and clinical MR images is presented. The combined information of the water content, conductivity and susceptibility may provide additional information about the tissue viability. Future studies can benefit from the evaluation of these contrasts with shortened acquisition times.

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Contributing Institute(s):

1. Physik der Medizinischen Bildgebung (INM-4)
2. JARA-BRAIN (JARA-BRAIN)

Research Program(s):

1. 573 - Neuroimaging (POF3-573) (POF3-573)

Appears in the scientific report 2019

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