Improved Positron Emission Tomography Quantification: Evaluation of a Maximum-Likelihood Scatter Scaling Algorithm
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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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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