194 related articles for article (PubMed ID: 28689358)
1. Comparison of Bayesian penalized likelihood reconstruction versus OS-EM for characterization of small pulmonary nodules in oncologic PET/CT.
Howard BA; Morgan R; Thorpe MP; Turkington TG; Oldan J; James OG; Borges-Neto S
Ann Nucl Med; 2017 Oct; 31(8):623-628. PubMed ID: 28689358
[TBL] [Abstract][Full Text] [Related]
2. The value of Bayesian penalized likelihood reconstruction for improving lesion conspicuity of malignant lung tumors on
Kurita Y; Ichikawa Y; Nakanishi T; Tomita Y; Hasegawa D; Murashima S; Hirano T; Sakuma H
Ann Nucl Med; 2020 Apr; 34(4):272-279. PubMed ID: 32060780
[TBL] [Abstract][Full Text] [Related]
3. Phantom and Clinical Evaluation of the Bayesian Penalized Likelihood Reconstruction Algorithm Q.Clear on an LYSO PET/CT System.
Teoh EJ; McGowan DR; Macpherson RE; Bradley KM; Gleeson FV
J Nucl Med; 2015 Sep; 56(9):1447-52. PubMed ID: 26159585
[TBL] [Abstract][Full Text] [Related]
4. Evaluation and Optimization of a New PET Reconstruction Algorithm, Bayesian Penalized Likelihood Reconstruction, for Lung Cancer Assessment According to Lesion Size.
Otani T; Hosono M; Kanagaki M; Onishi Y; Matsubara N; Kawabata K; Kimura H
AJR Am J Roentgenol; 2019 Aug; 213(2):W50-W56. PubMed ID: 30995096
[No Abstract] [Full Text] [Related]
5. Phantom and clinical assessment of small pulmonary nodules using Q.Clear reconstruction on a silicon-photomultiplier-based time-of-flight PET/CT system.
Wu Z; Guo B; Huang B; Hao X; Wu P; Zhao B; Qin Z; Xie J; Li S
Sci Rep; 2021 May; 11(1):10328. PubMed ID: 33990659
[TBL] [Abstract][Full Text] [Related]
6. Impact of Bayesian penalized likelihood reconstruction on quantitative and qualitative aspects for pulmonary nodule detection in digital 2-[
Lohaus N; Enderlin F; Skawran S; Maurer A; Abukwaik AMA; Franzen D; Huellner MW; Messerli M
Sci Rep; 2022 May; 12(1):8308. PubMed ID: 35585129
[TBL] [Abstract][Full Text] [Related]
7. The Impact of a Bayesian Penalized Likelihood Reconstruction Algorithm on the Evaluation of Indeterminate Pulmonary Nodules by Dual-Time Point 18F-FDG PET/CT.
Sampaio Vieira T; Borges Faria D; Azevedo Silva F; Pimentel F; Pereira de Oliveira J
Clin Nucl Med; 2017 Jul; 42(7):e352-e354. PubMed ID: 28525459
[TBL] [Abstract][Full Text] [Related]
8. The clinical effectiveness of reconstructing
Usmani S; Ahmed N; Gnanasegaran G; Rasheed R; Marafi F; Alnaaimi M; Omar M; Musbah A; Al Kandari F; De Schepper S; Van den Wyngaert T
Br J Radiol; 2021 Apr; 94(1120):20210043. PubMed ID: 33571003
[TBL] [Abstract][Full Text] [Related]
9. Clinical evaluation of a block sequential regularized expectation maximization reconstruction algorithm in 18F-FDG PET/CT studies.
Sah BR; Stolzmann P; Delso G; Wollenweber SD; Hüllner M; Hakami YA; Queiroz MA; Barbosa FG; von Schulthess GK; Pietsch C; Veit-Haibach P
Nucl Med Commun; 2017 Jan; 38(1):57-66. PubMed ID: 27755394
[TBL] [Abstract][Full Text] [Related]
10. Assessment of indeterminate pulmonary nodules detected in lung cancer screening: Diagnostic accuracy of FDG PET/CT.
Garcia-Velloso MJ; Bastarrika G; de-Torres JP; Lozano MD; Sanchez-Salcedo P; Sancho L; Nuñez-Cordoba JM; Campo A; Alcaide AB; Torre W; Richter JA; Zulueta JJ
Lung Cancer; 2016 Jul; 97():81-6. PubMed ID: 27237032
[TBL] [Abstract][Full Text] [Related]
11. Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance.
Schwyzer M; Martini K; Benz DC; Burger IA; Ferraro DA; Kudura K; Treyer V; von Schulthess GK; Kaufmann PA; Huellner MW; Messerli M
Eur Radiol; 2020 Apr; 30(4):2031-2040. PubMed ID: 31822970
[TBL] [Abstract][Full Text] [Related]
12. Optimization of Image Reconstruction for
Rowley LM; Bradley KM; Boardman P; Hallam A; McGowan DR
J Nucl Med; 2017 Apr; 58(4):658-664. PubMed ID: 27688476
[TBL] [Abstract][Full Text] [Related]
13. Ordered subset expectation maximisation vs Bayesian penalised likelihood reconstruction algorithm in 18F-PSMA-1007 PET/CT.
Witkowska-Patena E; Budzyńska A; Giżewska A; Dziuk M; Walęcka-Mazur A
Ann Nucl Med; 2020 Mar; 34(3):192-199. PubMed ID: 31902120
[TBL] [Abstract][Full Text] [Related]
14. Bayesian penalized-likelihood reconstruction algorithm suppresses edge artifacts in PET reconstruction based on point-spread-function.
Yamaguchi S; Wagatsuma K; Miwa K; Ishii K; Inoue K; Fukushi M
Phys Med; 2018 Mar; 47():73-79. PubMed ID: 29609821
[TBL] [Abstract][Full Text] [Related]
15. Optimisation of the OS-EM algorithm and comparison with FBP for image reconstruction on a dual-head camera: a phantom and a clinical 18F-FDG study.
Gutman F; Gardin I; Delahaye N; Rakotonirina H; Hitzel A; Manrique A; Le Guludec D; Véra P
Eur J Nucl Med Mol Imaging; 2003 Nov; 30(11):1510-9. PubMed ID: 14579091
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of Penalized-Likelihood Estimation Reconstruction on a Digital Time-of-Flight PET/CT Scanner for
Lindström E; Sundin A; Trampal C; Lindsjö L; Ilan E; Danfors T; Antoni G; Sörensen J; Lubberink M
J Nucl Med; 2018 Jul; 59(7):1152-1158. PubMed ID: 29449445
[TBL] [Abstract][Full Text] [Related]
17. Novel penalised likelihood reconstruction of PET in the assessment of histologically verified small pulmonary nodules.
Teoh EJ; McGowan DR; Bradley KM; Belcher E; Black E; Gleeson FV
Eur Radiol; 2016 Feb; 26(2):576-84. PubMed ID: 25991490
[TBL] [Abstract][Full Text] [Related]
18. Does the beta regularization parameter of bayesian penalized likelihood reconstruction always affect the quantification accuracy and image quality of positron emission tomography computed tomography?
Wu Z; Guo B; Huang B; Zhao B; Qin Z; Hao X; Liang M; Xie J; Li S
J Appl Clin Med Phys; 2021 Mar; 22(3):224-233. PubMed ID: 33683004
[TBL] [Abstract][Full Text] [Related]
19. Detecting Pulmonary Nodules in Lung Cancer Patients Using Whole Body FDG PET/CT, High-resolution Lung Reformat of FDG PET/CT, or Diagnostic Breath Hold Chest CT.
Flavell RR; Behr SC; Mabray MC; Hernandez-Pampaloni M; Naeger DM
Acad Radiol; 2016 Sep; 23(9):1123-9. PubMed ID: 27283073
[TBL] [Abstract][Full Text] [Related]
20. Phantom, clinical, and texture indices evaluation and optimization of a penalized-likelihood image reconstruction method (Q.Clear) on a BGO PET/CT scanner.
Reynés-Llompart G; Gámez-Cenzano C; Vercher-Conejero JL; Sabaté-Llobera A; Calvo-Malvar N; Martí-Climent JM
Med Phys; 2018 Jul; 45(7):3214-3222. PubMed ID: 29782657
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
