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Attenuation Correction Using Template PET Registration for Brain PET: A Proof-of-Concept Study.

Markus JehlEkaterina MikhaylovaValerie TreyerMarlena HofbauerMartin W HuellnerPhilipp A KaufmannAlfred BuckGeoff WarnockViet DaoCharalampos TsoumpasDaniel DeiddaKris ThielemansMax Ludwig AhnenJannis Fischer
Published in: Journal of imaging (2022)
NeuroLF is a dedicated brain PET system with an octagonal prism shape housed in a scanner head that can be positioned around a patient's head. Because it does not have MR or CT capabilities, attenuation correction based on an estimation of the attenuation map is a crucial feature. In this article, we demonstrate this method on [ 18 F]FDG PET brain scans performed with a low-resolution proof of concept prototype of NeuroLF called BPET. We perform an affine registration of a template PET scan to the uncorrected emission image, and then apply the resulting transform to the corresponding template attenuation map. Using a whole-body PET/CT system as reference, we quantitively show that this method yields comparable image quality (0.893 average correlation to reference scan) to using the reference µ-map as obtained from the CT scan of the imaged patient (0.908 average correlation). We conclude from this initial study that attenuation correction using template registration instead of a patient CT delivers similar results and is an option for patients undergoing brain PET.
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