Cargando…

Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for (18)F-fluorocholine PET-CT regarding image quality and interpretation

BACKGROUND: Recently, the block-sequential regularized expectation maximization (BSREM) reconstruction algorithm was commercially introduced (Q.Clear, GE Healthcare, Milwaukee, WI, USA). However, the combination of noise-penalizing factor (β), acquisition time, and administered activity for optimal...

Descripción completa

Detalles Bibliográficos
Autores principales: Bjöersdorff, Mimmi, Oddstig, Jenny, Karindotter-Borgendahl, Nina, Almquist, Helén, Zackrisson, Sophia, Minarik, David, Trägårdh, Elin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428870/
https://www.ncbi.nlm.nih.gov/pubmed/30900064
http://dx.doi.org/10.1186/s40658-019-0242-2
_version_ 1783405472967032832
author Bjöersdorff, Mimmi
Oddstig, Jenny
Karindotter-Borgendahl, Nina
Almquist, Helén
Zackrisson, Sophia
Minarik, David
Trägårdh, Elin
author_facet Bjöersdorff, Mimmi
Oddstig, Jenny
Karindotter-Borgendahl, Nina
Almquist, Helén
Zackrisson, Sophia
Minarik, David
Trägårdh, Elin
author_sort Bjöersdorff, Mimmi
collection PubMed
description BACKGROUND: Recently, the block-sequential regularized expectation maximization (BSREM) reconstruction algorithm was commercially introduced (Q.Clear, GE Healthcare, Milwaukee, WI, USA). However, the combination of noise-penalizing factor (β), acquisition time, and administered activity for optimal image quality has not been established for (18)F-fluorocholine (FCH). The aim was to compare image quality and diagnostic performance of different reconstruction protocols for patients with prostate cancer being examined with (18)F-FCH on a silicon photomultiplier-based PET-CT. Thirteen patients were included, injected with 4 MBq/kg, and images were acquired after 1 h. Images were reconstructed with frame durations of 1.0, 1.5, and 2.0 min using β of 150, 200, 300, 400, 500, and 550. An ordered subset expectation maximization (OSEM) reconstruction with a frame duration of 2.0 min was used for comparison. Images were quantitatively analyzed regarding standardized uptake values (SUV) in metastatic lymph nodes, local background, and muscle to obtain contrast-to-noise ratios (CNR) as well as the noise level in muscle. Images were analyzed regarding image quality and number of metastatic lymph nodes by two nuclear medicine physicians. RESULTS: The highest median CNR was found for BSREM with a β of 300 and a frame duration of 2.0 min. The OSEM reconstruction had the lowest median CNR. Both the noise level and lesion SUV(max) decreased with increasing β. For a frame duration of 1.5 min, the median quality score was highest for β 400-500, and for a frame duration of 2.0 min the score was highest for β 300-500. There was no statistically significant difference in the number of suspected lymph node metastases between the different image series for one of the physicians, and for the other physician the number of lymph nodes differed only for one combination of image series. CONCLUSIONS: To achieve acceptable image quality at 4 MBq/kg (18)F-FCH, we propose using a β of 400-550 with a frame duration of 1.5 min. The lower β should be used if a high CNR is desired and the higher if a low noise level is important. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40658-019-0242-2) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6428870
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-64288702019-04-05 Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for (18)F-fluorocholine PET-CT regarding image quality and interpretation Bjöersdorff, Mimmi Oddstig, Jenny Karindotter-Borgendahl, Nina Almquist, Helén Zackrisson, Sophia Minarik, David Trägårdh, Elin EJNMMI Phys Original Research BACKGROUND: Recently, the block-sequential regularized expectation maximization (BSREM) reconstruction algorithm was commercially introduced (Q.Clear, GE Healthcare, Milwaukee, WI, USA). However, the combination of noise-penalizing factor (β), acquisition time, and administered activity for optimal image quality has not been established for (18)F-fluorocholine (FCH). The aim was to compare image quality and diagnostic performance of different reconstruction protocols for patients with prostate cancer being examined with (18)F-FCH on a silicon photomultiplier-based PET-CT. Thirteen patients were included, injected with 4 MBq/kg, and images were acquired after 1 h. Images were reconstructed with frame durations of 1.0, 1.5, and 2.0 min using β of 150, 200, 300, 400, 500, and 550. An ordered subset expectation maximization (OSEM) reconstruction with a frame duration of 2.0 min was used for comparison. Images were quantitatively analyzed regarding standardized uptake values (SUV) in metastatic lymph nodes, local background, and muscle to obtain contrast-to-noise ratios (CNR) as well as the noise level in muscle. Images were analyzed regarding image quality and number of metastatic lymph nodes by two nuclear medicine physicians. RESULTS: The highest median CNR was found for BSREM with a β of 300 and a frame duration of 2.0 min. The OSEM reconstruction had the lowest median CNR. Both the noise level and lesion SUV(max) decreased with increasing β. For a frame duration of 1.5 min, the median quality score was highest for β 400-500, and for a frame duration of 2.0 min the score was highest for β 300-500. There was no statistically significant difference in the number of suspected lymph node metastases between the different image series for one of the physicians, and for the other physician the number of lymph nodes differed only for one combination of image series. CONCLUSIONS: To achieve acceptable image quality at 4 MBq/kg (18)F-FCH, we propose using a β of 400-550 with a frame duration of 1.5 min. The lower β should be used if a high CNR is desired and the higher if a low noise level is important. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40658-019-0242-2) contains supplementary material, which is available to authorized users. Springer International Publishing 2019-03-21 /pmc/articles/PMC6428870/ /pubmed/30900064 http://dx.doi.org/10.1186/s40658-019-0242-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research
Bjöersdorff, Mimmi
Oddstig, Jenny
Karindotter-Borgendahl, Nina
Almquist, Helén
Zackrisson, Sophia
Minarik, David
Trägårdh, Elin
Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for (18)F-fluorocholine PET-CT regarding image quality and interpretation
title Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for (18)F-fluorocholine PET-CT regarding image quality and interpretation
title_full Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for (18)F-fluorocholine PET-CT regarding image quality and interpretation
title_fullStr Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for (18)F-fluorocholine PET-CT regarding image quality and interpretation
title_full_unstemmed Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for (18)F-fluorocholine PET-CT regarding image quality and interpretation
title_short Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for (18)F-fluorocholine PET-CT regarding image quality and interpretation
title_sort impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for (18)f-fluorocholine pet-ct regarding image quality and interpretation
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428870/
https://www.ncbi.nlm.nih.gov/pubmed/30900064
http://dx.doi.org/10.1186/s40658-019-0242-2
work_keys_str_mv AT bjoersdorffmimmi impactofpenalizingfactorinablocksequentialregularizedexpectationmaximizationreconstructionalgorithmfor18ffluorocholinepetctregardingimagequalityandinterpretation
AT oddstigjenny impactofpenalizingfactorinablocksequentialregularizedexpectationmaximizationreconstructionalgorithmfor18ffluorocholinepetctregardingimagequalityandinterpretation
AT karindotterborgendahlnina impactofpenalizingfactorinablocksequentialregularizedexpectationmaximizationreconstructionalgorithmfor18ffluorocholinepetctregardingimagequalityandinterpretation
AT almquisthelen impactofpenalizingfactorinablocksequentialregularizedexpectationmaximizationreconstructionalgorithmfor18ffluorocholinepetctregardingimagequalityandinterpretation
AT zackrissonsophia impactofpenalizingfactorinablocksequentialregularizedexpectationmaximizationreconstructionalgorithmfor18ffluorocholinepetctregardingimagequalityandinterpretation
AT minarikdavid impactofpenalizingfactorinablocksequentialregularizedexpectationmaximizationreconstructionalgorithmfor18ffluorocholinepetctregardingimagequalityandinterpretation
AT tragardhelin impactofpenalizingfactorinablocksequentialregularizedexpectationmaximizationreconstructionalgorithmfor18ffluorocholinepetctregardingimagequalityandinterpretation