171 related articles for article (PubMed ID: 37064407)
1. Multicenter quantitative
Vosoughi H; Momennezhad M; Emami F; Hajizadeh M; Rahmim A; Geramifar P
Quant Imaging Med Surg; 2023 Apr; 13(4):2218-2233. PubMed ID: 37064407
[TBL] [Abstract][Full Text] [Related]
2. Harmonization of PET image reconstruction parameters in simultaneous PET/MRI.
Laforest R; Khalighi M; Natsuaki Y; Rajagopal A; Chandramohan D; Byrd D; An H; Larson P; James SS; Sunderland JJ; Kinahan PE; Hope TA
EJNMMI Phys; 2021 Nov; 8(1):75. PubMed ID: 34739621
[TBL] [Abstract][Full Text] [Related]
3. PET NEMA IQ Phantom dataset: image reconstruction settings for quantitative PET imaging.
Vosoughi H; Hajizadeh M; Emami F; Momennezhad M; Geramifar P
Data Brief; 2021 Aug; 37():107231. PubMed ID: 34195308
[TBL] [Abstract][Full Text] [Related]
4. Use of a digital phantom developed by QIBA for harmonizing SUVs obtained from the state-of-the-art SPECT/CT systems: a multicenter study.
Nakahara T; Daisaki H; Yamamoto Y; Iimori T; Miyagawa K; Okamoto T; Owaki Y; Yada N; Sawada K; Tokorodani R; Jinzaki M
EJNMMI Res; 2017 Dec; 7(1):53. PubMed ID: 28639254
[TBL] [Abstract][Full Text] [Related]
5. Variability in PET image quality and quantification measured with a permanently filled
Sipilä O; Liukkonen J; Halme HL; Tolvanen T; Sohlberg A; Hakulinen M; Manninen AL; Tahvanainen K; Tunninen V; Ollikainen T; Kangasmaa T; Kangasmäki A; Vuorela J
EJNMMI Phys; 2023 Jun; 10(1):38. PubMed ID: 37322376
[TBL] [Abstract][Full Text] [Related]
6. Multicentre analysis of PET SUV using vendor-neutral software: the Japanese Harmonization Technology (J-Hart) study.
Tsutsui Y; Daisaki H; Akamatsu G; Umeda T; Ogawa M; Kajiwara H; Kawase S; Sakurai M; Nishida H; Magota K; Mori K; Sasaki M;
EJNMMI Res; 2018 Aug; 8(1):83. PubMed ID: 30128776
[TBL] [Abstract][Full Text] [Related]
7. Evaluation of strategies towards harmonization of FDG PET/CT studies in multicentre trials: comparison of scanner validation phantoms and data analysis procedures.
Makris NE; Huisman MC; Kinahan PE; Lammertsma AA; Boellaard R
Eur J Nucl Med Mol Imaging; 2013 Oct; 40(10):1507-15. PubMed ID: 23754762
[TBL] [Abstract][Full Text] [Related]
8. New standards for phantom image quality and SUV harmonization range for multicenter oncology PET studies.
Akamatsu G; Shimada N; Matsumoto K; Daisaki H; Suzuki K; Watabe H; Oda K; Senda M; Terauchi T; Tateishi U
Ann Nucl Med; 2022 Feb; 36(2):144-161. PubMed ID: 35029817
[TBL] [Abstract][Full Text] [Related]
9. Using EQ·PET to reduce reconstruction-dependent variations in [
Vanhoutte M; Semah F; Lopes R; Jaillard A; Petyt G; Aziz AL; Lahousse H; Declerck J; Pasquier F; Spottiswoode B; Fahmi R
Phys Med Biol; 2019 Aug; 64(17):175002. PubMed ID: 31344691
[TBL] [Abstract][Full Text] [Related]
10. Development of the quantitative PET prostate phantom (Q3P) for improved quality assurance of
Fedrigo R; Coope R; Rahmim A; Bénard F; Uribe CF
Med Phys; 2024 Jun; 51(6):4311-4323. PubMed ID: 38348927
[TBL] [Abstract][Full Text] [Related]
11. How to harmonize SUVs obtained by hybrid PET/CT scanners with and without point spread function correction.
Ferretti A; Chondrogiannis S; Rampin L; Bellan E; Marzola MC; Grassetto G; Gusella S; Maffione AM; Gava M; Rubello D
Phys Med Biol; 2018 Nov; 63(23):235010. PubMed ID: 30474620
[TBL] [Abstract][Full Text] [Related]
12. Influence of cold walls on PET image quantification and volume segmentation: a phantom study.
Berthon B; Marshall C; Edwards A; Evans M; Spezi E
Med Phys; 2013 Aug; 40(8):082505. PubMed ID: 23927350
[TBL] [Abstract][Full Text] [Related]
13. Protocols for Harmonized Quantification and Noise Reduction in Low-Dose Oncologic
Machado MAD; Menezes VO; Namías M; Vieira NS; Queiroz CC; Matheoud R; Alessio AM; Oliveira ML
J Nucl Med Technol; 2019 Mar; 47(1):47-54. PubMed ID: 30076252
[TBL] [Abstract][Full Text] [Related]
14. SUV Harmonization Between Different Hybrid PET/CT Systems.
Rubello D; Colletti PM
Clin Nucl Med; 2018 Nov; 43(11):811-814. PubMed ID: 30199381
[TBL] [Abstract][Full Text] [Related]
15. Are lesion features reproducible between
Constantino CS; Oliveira FPM; Silva M; Oliveira C; Castanheira JC; Silva Â; Vaz SC; Vieira P; Costa DC
Eur Radiol; 2021 May; 31(5):3071-3079. PubMed ID: 33125562
[TBL] [Abstract][Full Text] [Related]
16. Repeatability of
Pfaehler E; Beukinga RJ; de Jong JR; Slart RHJA; Slump CH; Dierckx RAJO; Boellaard R
Med Phys; 2019 Feb; 46(2):665-678. PubMed ID: 30506687
[TBL] [Abstract][Full Text] [Related]
17. Evaluation of the Accuracy of Standardized Uptake Values of
Tlostanova MS; Chipiga LA
Sovrem Tekhnologii Med; 2021; 13(3):15-23. PubMed ID: 34603751
[TBL] [Abstract][Full Text] [Related]
18. Validation of phantom-based harmonization for patient harmonization.
Panetta JV; Daube-Witherspoon ME; Karp JS
Med Phys; 2017 Jul; 44(7):3534-3544. PubMed ID: 28464372
[TBL] [Abstract][Full Text] [Related]
19. Harmonization based on quantitative analysis of standardized uptake value variations across PET/CT scanners: a multicenter phantom study.
Monsef A; Ay MR; Sheikhzadeh P; Geramifar P; Rahmim A; Ghafarian P
Nucl Med Commun; 2022 Sep; 43(9):1004-1014. PubMed ID: 35836388
[TBL] [Abstract][Full Text] [Related]
20. Characteristics of Smoothing Filters to Achieve the Guideline Recommended Positron Emission Tomography Image without Harmonization.
Tsutsui Y; Awamoto S; Himuro K; Umezu Y; Baba S; Sasaki M
Asia Ocean J Nucl Med Biol; 2018; 6(1):15-23. PubMed ID: 29333463
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]