Abstract

FZJ-2022-02451

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png MR-based attenuation map re-alignment and motion correction in simultaneous brain MR-PET imaging

Sforazzini, F. ; Chen, Z. ; Baran, J. ; Bradley, J. ; Carey, A. ; Shah, N. J.FZJ* ; Egan, G.

2017

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Please use a persistent id in citations: doi:10.1109/ISBI.2017.7950508

Abstract: Abstract:Head movement is a major issue in dynamic PET imaging. A simultaneous MR-PET scanner is capable of acquiring both MR and PET data concurrently, which enables opportunities to use MR information for PET motion correction. Here we propose an MR-based method to detect head motion and to correct motion artefacts during PET image reconstruction. The method is based on co-registration of multiple MR contrasts to extract motion parameters. The motion parameters are then used to guide the Multiple Acquisition Frame (MAF) algorithm to bin the PET list-mode data into multiple frames whenever significant motion occurs. Furthermore, motion parameters are used to re-align the PET attenuation u-map to each frame prior to the image reconstruction. Finally, PET images are reconstructed for each frame and combined to produce a final image. Using both phantom and in-vivo human data, we show that this method can significantly increase image quality and reduce motion artefacts.

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Contributing Institute(s):

1. Physik der Medizinischen Bildgebung (INM-4)
2. Jara-Institut Quantum Information (INM-11)
3. Jülich-Aachen Research Alliance - Translational Brain Medicine (JARA-BRAIN)

Research Program(s):

1. 5253 - Neuroimaging (POF4-525) (POF4-525)

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