PET/MRI attenuation estimation in the lung: A review of past, present, and potential techniques

Journal article

Lillington, J., Brusaferri, L., Klaser, K., Shmueli, K., Neji, R., Hutton, B.F., Fraioli, F., Arridge, S., Cardoso, M.J., Ourselin, S., Thielemans, K. and Atkinson, D. (2019). PET/MRI attenuation estimation in the lung: A review of past, present, and potential techniques. Medical Physics. 47 (2), pp. 790-811. https://doi.org/10.1002/mp.13943
AuthorsLillington, J., Brusaferri, L., Klaser, K., Shmueli, K., Neji, R., Hutton, B.F., Fraioli, F., Arridge, S., Cardoso, M.J., Ourselin, S., Thielemans, K. and Atkinson, D.
Abstract

Positron emission tomography/magnetic resonance imaging (PET/MRI) potentially offers several advantages over positron emission tomography/computed tomography (PET/CT), for example, no CT radiation dose and soft tissue images from MR acquired at the same time as the PET. However, obtaining accurate linear attenuation correction (LAC) factors for the lung remains difficult in PET/MRI. LACs depend on electron density and in the lung, these vary significantly both within an individual and from person to person. Current commercial practice is to use a single-valued population-based lung LAC, and better estimation is needed to improve quantification. Given the under-appreciation of lung attenuation estimation as an issue, the inaccuracy of PET quantification due to the use of single-valued lung LACs, the unique challenges of lung estimation, and the emerging status of PET/MRI scanners in lung disease, a review is timely. This paper highlights past and present methods, categorizing them into segmentation, atlas/mapping, and emission-based schemes. Potential strategies for future developments are also presented.

Year2019
JournalMedical Physics
Journal citation47 (2), pp. 790-811
PublisherWiley
ISSN0094-2405
2473-4209
Digital Object Identifier (DOI)https://doi.org/10.1002/mp.13943
Web address (URL)http://dx.doi.org/10.1002/mp.13943
Publication dates
Online03 Dec 2019
Publication process dates
Accepted20 Nov 2019
Deposited08 Feb 2024
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License
File Access Level
Open
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