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

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Title: PET/MRI attenuation estimation in the lung: A review of past, present, and potential techniques.
Authors: Lillington, Joseph1 (AUTHOR) joseph.lillington.16@ucl.ac.uk, Brusaferri, Ludovica2 (AUTHOR), Kläser, Kerstin3 (AUTHOR), Shmueli, Karin4 (AUTHOR), Neji, Radhouene5 (AUTHOR), Hutton, Brian F.2 (AUTHOR), Fraioli, Francesco2 (AUTHOR), Arridge, Simon3 (AUTHOR), Cardoso, Manuel Jorge6 (AUTHOR), Ourselin, Sebastien6 (AUTHOR), Thielemans, Kris2 (AUTHOR) k.thielemans@ucl.ac.uk, Atkinson, David1 (AUTHOR)
Source: Medical Physics. Feb2020, Vol. 47 Issue 2, p790-811. 22p.
Subjects: Positron emission tomography, Magnetic resonance imaging, Lungs, Soft X rays, Electron density
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. [ABSTRACT FROM AUTHOR]
Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: PET/MRI attenuation estimation in the lung: A review of past, present, and potential techniques.
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  Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Feb2020, Vol. 47 Issue 2, p790-811. 22p.
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Positron emission tomography
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      – SubjectFull: Lungs
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      – SubjectFull: Soft X rays
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      – SubjectFull: Electron density
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