Improved Positron Emission Tomography Quantification: Evaluation of a Maximum-Likelihood Scatter Scaling Algorithm

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

Improved Positron Emission Tomography Quantification : Evaluation of a Maximum-Likelihood Scatter Scaling Algorithm. / Overbeck, Nanna; Ahangari, Sahar; Conti, Maurizio; Panin, Vladimir; Azam, Aleena; Kurbegovic, Sorel; Kjær, Andreas; Højgaard, Liselotte; Korsholm, Kirsten; Fischer, Barbara Malene; Andersen, Flemming Littrup; Andersen, Thomas Lund.

I: Diagnostics, Bind 14, Nr. 11, 1075, 2024.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Overbeck, N, Ahangari, S, Conti, M, Panin, V, Azam, A, Kurbegovic, S, Kjær, A, Højgaard, L, Korsholm, K, Fischer, BM, Andersen, FL & Andersen, TL 2024, 'Improved Positron Emission Tomography Quantification: Evaluation of a Maximum-Likelihood Scatter Scaling Algorithm', Diagnostics, bind 14, nr. 11, 1075. https://doi.org/10.3390/diagnostics14111075

APA

Overbeck, N., Ahangari, S., Conti, M., Panin, V., Azam, A., Kurbegovic, S., Kjær, A., Højgaard, L., Korsholm, K., Fischer, B. M., Andersen, F. L., & Andersen, T. L. (2024). Improved Positron Emission Tomography Quantification: Evaluation of a Maximum-Likelihood Scatter Scaling Algorithm. Diagnostics, 14(11), [1075]. https://doi.org/10.3390/diagnostics14111075

Vancouver

Overbeck N, Ahangari S, Conti M, Panin V, Azam A, Kurbegovic S o.a. Improved Positron Emission Tomography Quantification: Evaluation of a Maximum-Likelihood Scatter Scaling Algorithm. Diagnostics. 2024;14(11). 1075. https://doi.org/10.3390/diagnostics14111075

Author

Overbeck, Nanna ; Ahangari, Sahar ; Conti, Maurizio ; Panin, Vladimir ; Azam, Aleena ; Kurbegovic, Sorel ; Kjær, Andreas ; Højgaard, Liselotte ; Korsholm, Kirsten ; Fischer, Barbara Malene ; Andersen, Flemming Littrup ; Andersen, Thomas Lund. / Improved Positron Emission Tomography Quantification : Evaluation of a Maximum-Likelihood Scatter Scaling Algorithm. I: Diagnostics. 2024 ; Bind 14, Nr. 11.

Bibtex

@article{386383c0429c46259c54fa15a9c17598,
title = "Improved Positron Emission Tomography Quantification: Evaluation of a Maximum-Likelihood Scatter Scaling Algorithm",
abstract = "Incorrect scatter scaling of positron emission tomography (PET) images can lead to halo artifacts, quantitative bias, or reconstruction failure. Tail-fitted scatter scaling (TFSS) possesses performance limitations in multiple cases. This study aims to investigate a novel method for scatter scaling: maximum-likelihood scatter scaling (MLSS) in scenarios where TFSS tends to induce artifacts or are observed to cause reconstruction abortion. [68Ga]Ga-RGD PET scans of nine patients were included in cohort 1 in the scope of investigating the reduction of halo artifacts relative to the scatter estimation method. PET scans of 30 patients administrated with [68Ga]Ga-uPAR were included in cohort 2, used for an evaluation of the robustness of MLSS in cases where TFSS-integrated reconstructions are observed to fail. A visual inspection of MLSS-corrected images scored higher than TFSS-corrected reconstructions of cohort 1. The quantitative investigation near the bladder showed a relative difference in tracer uptake of up to 94.7%. A reconstruction of scans included in cohort 2 resulted in failure in 23 cases when TFSS was used. The lesion uptake values of cohort 2 showed no significant difference. MLSS is suggested as an alternative scatter-scaling method relative to TFSS with the aim of reducing halo artifacts and a robust reconstruction process.",
keywords = "halo artifacts, maximum likelihood, PET/MRI, scatter correction, scatter scaling",
author = "Nanna Overbeck and Sahar Ahangari and Maurizio Conti and Vladimir Panin and Aleena Azam and Sorel Kurbegovic and Andreas Kj{\ae}r and Liselotte H{\o}jgaard and Kirsten Korsholm and Fischer, {Barbara Malene} and Andersen, {Flemming Littrup} and Andersen, {Thomas Lund}",
note = "Publisher Copyright: {\textcopyright} 2024 by the authors.",
year = "2024",
doi = "10.3390/diagnostics14111075",
language = "English",
volume = "14",
journal = "Diagnostics",
issn = "2075-4418",
publisher = "MDPI AG",
number = "11",

}

RIS

TY - JOUR

T1 - Improved Positron Emission Tomography Quantification

T2 - Evaluation of a Maximum-Likelihood Scatter Scaling Algorithm

AU - Overbeck, Nanna

AU - Ahangari, Sahar

AU - Conti, Maurizio

AU - Panin, Vladimir

AU - Azam, Aleena

AU - Kurbegovic, Sorel

AU - Kjær, Andreas

AU - Højgaard, Liselotte

AU - Korsholm, Kirsten

AU - Fischer, Barbara Malene

AU - Andersen, Flemming Littrup

AU - Andersen, Thomas Lund

N1 - Publisher Copyright: © 2024 by the authors.

PY - 2024

Y1 - 2024

N2 - Incorrect scatter scaling of positron emission tomography (PET) images can lead to halo artifacts, quantitative bias, or reconstruction failure. Tail-fitted scatter scaling (TFSS) possesses performance limitations in multiple cases. This study aims to investigate a novel method for scatter scaling: maximum-likelihood scatter scaling (MLSS) in scenarios where TFSS tends to induce artifacts or are observed to cause reconstruction abortion. [68Ga]Ga-RGD PET scans of nine patients were included in cohort 1 in the scope of investigating the reduction of halo artifacts relative to the scatter estimation method. PET scans of 30 patients administrated with [68Ga]Ga-uPAR were included in cohort 2, used for an evaluation of the robustness of MLSS in cases where TFSS-integrated reconstructions are observed to fail. A visual inspection of MLSS-corrected images scored higher than TFSS-corrected reconstructions of cohort 1. The quantitative investigation near the bladder showed a relative difference in tracer uptake of up to 94.7%. A reconstruction of scans included in cohort 2 resulted in failure in 23 cases when TFSS was used. The lesion uptake values of cohort 2 showed no significant difference. MLSS is suggested as an alternative scatter-scaling method relative to TFSS with the aim of reducing halo artifacts and a robust reconstruction process.

AB - Incorrect scatter scaling of positron emission tomography (PET) images can lead to halo artifacts, quantitative bias, or reconstruction failure. Tail-fitted scatter scaling (TFSS) possesses performance limitations in multiple cases. This study aims to investigate a novel method for scatter scaling: maximum-likelihood scatter scaling (MLSS) in scenarios where TFSS tends to induce artifacts or are observed to cause reconstruction abortion. [68Ga]Ga-RGD PET scans of nine patients were included in cohort 1 in the scope of investigating the reduction of halo artifacts relative to the scatter estimation method. PET scans of 30 patients administrated with [68Ga]Ga-uPAR were included in cohort 2, used for an evaluation of the robustness of MLSS in cases where TFSS-integrated reconstructions are observed to fail. A visual inspection of MLSS-corrected images scored higher than TFSS-corrected reconstructions of cohort 1. The quantitative investigation near the bladder showed a relative difference in tracer uptake of up to 94.7%. A reconstruction of scans included in cohort 2 resulted in failure in 23 cases when TFSS was used. The lesion uptake values of cohort 2 showed no significant difference. MLSS is suggested as an alternative scatter-scaling method relative to TFSS with the aim of reducing halo artifacts and a robust reconstruction process.

KW - halo artifacts

KW - maximum likelihood

KW - PET/MRI

KW - scatter correction

KW - scatter scaling

U2 - 10.3390/diagnostics14111075

DO - 10.3390/diagnostics14111075

M3 - Journal article

C2 - 38893602

AN - SCOPUS:85195825502

VL - 14

JO - Diagnostics

JF - Diagnostics

SN - 2075-4418

IS - 11

M1 - 1075

ER -

ID: 396734486