UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

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

Jehl, Markus; Mikhaylova, Ekaterina; Treyer, Valerie; Hofbauer, Marlena; Hüllner, Martin; Kaufmann, Philipp A; Buck, Alfred; ... Fischer, Jannis; + view all (2022) Attenuation Correction Using Template PET Registration for Brain PET: A Proof-of-Concept Study. Journal of Imaging , 9 (1) , Article 2. 10.3390/jimaging9010002. Green open access

[thumbnail of jimaging-09-00002-v2.pdf]
Preview
Text
jimaging-09-00002-v2.pdf - Published Version

Download (9MB) | Preview

Abstract

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 [18F]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.

Type: Article
Title: Attenuation Correction Using Template PET Registration for Brain PET: A Proof-of-Concept Study
Open access status: An open access version is available from UCL Discovery
DOI: 10.3390/jimaging9010002
Publisher version: https://doi.org/10.3390/jimaging9010002
Language: English
Additional information: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: tomography; attenuation correction; image reconstruction; brain; PET; STIR; Nifty-Reg; registration
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
URI: https://discovery.ucl.ac.uk/id/eprint/10162993
Downloads since deposit
32Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item