Journal Article

FZJ-2018-01211

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png PET attenuation correction for rigid MR Tx/Rx coils from 176 Lu background activity

Lerche, C. W. (Corresponding author)FZJ* ; Kaltsas, T. ; Caldeira, L.FZJ* ; Scheins, J.FZJ* ; Rota Kops, E.FZJ* ; Tellmann, L.FZJ* ; Pietrzyk, U.FZJ* ; Herzog, H.FZJ* ; Shah, N. J.FZJ*

2018
IOP Publ. Bristol

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Please use a persistent id in citations: doi:10.1088/1361-6560/aaa72a

Abstract: One challenge for PET-MR hybrid imaging is the correction for attenuation of the 511 keV annihilation radiation by the required RF transmit and/or RF receive coils. Although there are strategies for building PET transparent Tx/Rx coils, such optimised coils still cause significant attenuation of the annihilation radiation leading to artefacts and biases in the reconstructed activity concentrations. We present a straightforward method to measure the attenuation of Tx/Rx coils in simultaneous MR-PET imaging based on the natural 176Lu background contained in the scintillator of the PET detector without the requirement of an external CT scanner or PET scanner with transmission source. The method was evaluated on a prototype 3T MR-BrainPET produced by Siemens Healthcare GmbH, both with phantom studies and with true emission images from patient/volunteer examinations. Furthermore, the count rate stability of the PET scanner and the x-ray properties of the Tx/Rx head coil were investigated. Even without energy extrapolation from the two dominant γ energies of 176Lu to 511 keV, the presented method for attenuation correction, based on the measurement of 176Lu background attenuation, shows slightly better performance than the coil attenuation correction currently used. The coil attenuation correction currently used is based on an external transmission scan with rotating 68Ge sources acquired on a Siemens ECAT HR  +  PET scanner. However, the main advantage of the presented approach is its straightforwardness and ready availability without the need for additional accessories.

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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 2018

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Database coverage:
; BIOSIS Previews ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF < 5 ; JCR ; National-Konsortium ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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