163 related articles for article (PubMed ID: 18697557)
1. The development and testing of a digital PET phantom for the evaluation of tumor volume segmentation techniques.
Aristophanous M; Penney BC; Pelizzari CA
Med Phys; 2008 Jul; 35(7):3331-42. PubMed ID: 18697557
[TBL] [Abstract][Full Text] [Related]
2. An iterative technique to segment PET lesions using a Monte Carlo based mathematical model.
Nehmeh SA; El-Zeftawy H; Greco C; Schwartz J; Erdi YE; Kirov A; Schmidtlein CR; Gyau AB; Larson SM; Humm JL
Med Phys; 2009 Oct; 36(10):4803-9. PubMed ID: 19928110
[TBL] [Abstract][Full Text] [Related]
3. A Gaussian mixture model for definition of lung tumor volumes in positron emission tomography.
Aristophanous M; Penney BC; Martel MK; Pelizzari CA
Med Phys; 2007 Nov; 34(11):4223-35. PubMed ID: 18072487
[TBL] [Abstract][Full Text] [Related]
4. An innovative iterative thresholding algorithm for tumour segmentation and volumetric quantification on SPECT images: Monte Carlo-based methodology and validation.
Pacilio M; Basile C; Shcherbinin S; Caselli F; Ventroni G; Aragno D; Mango L; Santini E
Med Phys; 2011 Jun; 38(6):3050-61. PubMed ID: 21815378
[TBL] [Abstract][Full Text] [Related]
5. Investigation of realistic PET simulations incorporating tumor patient's specificity using anthropomorphic models: creation of an oncology database.
Papadimitroulas P; Loudos G; Le Maitre A; Hatt M; Tixier F; Efthimiou N; Nikiforidis GC; Visvikis D; Kagadis GC
Med Phys; 2013 Nov; 40(11):112506. PubMed ID: 24320465
[TBL] [Abstract][Full Text] [Related]
6. A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET.
Belhassen S; Zaidi H
Med Phys; 2010 Mar; 37(3):1309-24. PubMed ID: 20384268
[TBL] [Abstract][Full Text] [Related]
7. Feasibility of a semi-automated contrast-oriented algorithm for tumor segmentation in retrospectively gated PET images: phantom and clinical validation.
Carles M; Fechter T; Nemer U; Nanko N; Mix M; Nestle U; Schaefer A
Phys Med Biol; 2015 Dec; 60(24):9227-51. PubMed ID: 26576926
[TBL] [Abstract][Full Text] [Related]
8. Monte-Carlo simulations of clinically realistic respiratory gated (18)F-FDG PET: application to lesion detectability and volume measurements.
Vauclin S; Michel C; Buvat I; Doyeux K; Edet-Sanson A; Vera P; Gardin I; Hapdey S
Comput Methods Programs Biomed; 2015 Jan; 118(1):84-93. PubMed ID: 25459525
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of the spline reconstruction technique for PET.
Kastis GA; Kyriakopoulou D; Gaitanis A; Fernández Y; Hutton BF; Fokas AS
Med Phys; 2014 Apr; 41(4):042501. PubMed ID: 24694154
[TBL] [Abstract][Full Text] [Related]
10. A Dirichlet process mixture model for automatic (18)F-FDG PET image segmentation: Validation study on phantoms and on lung and esophageal lesions.
Giri MG; Cavedon C; Mazzarotto R; Ferdeghini M
Med Phys; 2016 May; 43(5):2491. PubMed ID: 27147360
[TBL] [Abstract][Full Text] [Related]
11. Comparative assessment of methods for estimating tumor volume and standardized uptake value in (18)F-FDG PET.
Tylski P; Stute S; Grotus N; Doyeux K; Hapdey S; Gardin I; Vanderlinden B; Buvat I
J Nucl Med; 2010 Feb; 51(2):268-76. PubMed ID: 20080896
[TBL] [Abstract][Full Text] [Related]
12. PETSTEP: Generation of synthetic PET lesions for fast evaluation of segmentation methods.
Berthon B; Häggström I; Apte A; Beattie BJ; Kirov AS; Humm JL; Marshall C; Spezi E; Larsson A; Schmidtlein CR
Phys Med; 2015 Dec; 31(8):969-980. PubMed ID: 26321409
[TBL] [Abstract][Full Text] [Related]
13. Lung tumor segmentation in PET images using graph cuts.
Ballangan C; Wang X; Fulham M; Eberl S; Feng DD
Comput Methods Programs Biomed; 2013 Mar; 109(3):260-8. PubMed ID: 23146420
[TBL] [Abstract][Full Text] [Related]
14. Multi-site quality and variability analysis of 3D FDG PET segmentations based on phantom and clinical image data.
Beichel RR; Smith BJ; Bauer C; Ulrich EJ; Ahmadvand P; Budzevich MM; Gillies RJ; Goldgof D; Grkovski M; Hamarneh G; Huang Q; Kinahan PE; Laymon CM; Mountz JM; Muzi JP; Muzi M; Nehmeh S; Oborski MJ; Tan Y; Zhao B; Sunderland JJ; Buatti JM
Med Phys; 2017 Feb; 44(2):479-496. PubMed ID: 28205306
[TBL] [Abstract][Full Text] [Related]
15. Semiautomated analysis of small-animal PET data.
Kesner AL; Dahlbom M; Huang SC; Hsueh WA; Pio BS; Czernin J; Kreissl M; Wu HM; Silverman DH
J Nucl Med; 2006 Jul; 47(7):1181-6. PubMed ID: 16818953
[TBL] [Abstract][Full Text] [Related]
16. Fully automated segmentation of oncological PET volumes using a combined multiscale and statistical model.
Montgomery DW; Amira A; Zaidi H
Med Phys; 2007 Feb; 34(2):722-36. PubMed ID: 17388190
[TBL] [Abstract][Full Text] [Related]
17. Simultaneous estimation and segmentation from projection data in dynamic PET.
Cui J; Yu H; Chen S; Chen Y; Liu H
Med Phys; 2019 Mar; 46(3):1245-1259. PubMed ID: 30593666
[TBL] [Abstract][Full Text] [Related]
18. Defining a radiotherapy target with positron emission tomography.
Black QC; Grills IS; Kestin LL; Wong CY; Wong JW; Martinez AA; Yan D
Int J Radiat Oncol Biol Phys; 2004 Nov; 60(4):1272-82. PubMed ID: 15519800
[TBL] [Abstract][Full Text] [Related]
19. Phantom validation of coregistration of PET and CT for image-guided radiotherapy.
Lavely WC; Scarfone C; Cevikalp H; Li R; Byrne DW; Cmelak AJ; Dawant B; Price RR; Hallahan DE; Fitzpatrick JM
Med Phys; 2004 May; 31(5):1083-92. PubMed ID: 15191296
[TBL] [Abstract][Full Text] [Related]
20. Generic and robust method for automatic segmentation of PET images using an active contour model.
Zhuang M; Dierckx RA; Zaidi H
Med Phys; 2016 Aug; 43(8):4483. PubMed ID: 27487865
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
