319 related articles for article (PubMed ID: 27147375)
1. Background based Gaussian mixture model lesion segmentation in PET.
Soffientini CD; De Bernardi E; Zito F; Castellani M; Baselli G
Med Phys; 2016 May; 43(5):2662. PubMed ID: 27147375
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 4D numerical observer for lesion detection in respiratory-gated PET.
Lorsakul A; Li Q; Trott CM; Hoog C; Petibon Y; Ouyang J; Laine AF; El Fakhri G
Med Phys; 2014 Oct; 41(10):102504. PubMed ID: 25281979
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. ML segmentation strategies for object interference compensation in FDG-PET lesion quantification.
De Bernardi E; Fiorani Gallotta F; Gianoli C; Zito F; Gerundini P; Baselli G
Methods Inf Med; 2010; 49(5):537-41. PubMed ID: 20490426
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. An algorithm for PET tumor volume and activity quantification: without specifying camera's point spread function (PSF).
Bhatt R; Adjouadi M; Goryawala M; Gulec SA; McGoron AJ
Med Phys; 2012 Jul; 39(7):4187-202. PubMed ID: 22830752
[TBL] [Abstract][Full Text] [Related]
9. Comparative assessment of statistical brain MR image segmentation algorithms and their impact on partial volume correction in PET.
Zaidi H; Ruest T; Schoenahl F; Montandon ML
Neuroimage; 2006 Oct; 32(4):1591-607. PubMed ID: 16828315
[TBL] [Abstract][Full Text] [Related]
10. A Segmentation Algorithm for Quantitative Analysis of Heterogeneous Tumors of the Cervix With ¹⁸F-FDG PET/CT.
Mu W; Chen Z; Shen W; Yang F; Liang Y; Dai R; Wu N; Tian J
IEEE Trans Biomed Eng; 2015 Oct; 62(10):2465-79. PubMed ID: 25993699
[TBL] [Abstract][Full Text] [Related]
11. Rapid Contour-based Segmentation for
Besson FL; Henry T; Meyer C; Chevance V; Roblot V; Blanchet E; Arnould V; Grimon G; Chekroun M; Mabille L; Parent F; Seferian A; Bulifon S; Montani D; Humbert M; Chaumet-Riffaud P; Lebon V; Durand E
Radiology; 2018 Jul; 288(1):277-284. PubMed ID: 29613842
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A Novel Framework for Automated Segmentation and Labeling of Homogeneous Versus Heterogeneous Lung Tumors in [
Soufi M; Kamali-Asl A; Geramifar P; Rahmim A
Mol Imaging Biol; 2017 Jun; 19(3):456-468. PubMed ID: 27770402
[TBL] [Abstract][Full Text] [Related]
14. Robust generative asymmetric GMM for brain MR image segmentation.
Ji Z; Xia Y; Zheng Y
Comput Methods Programs Biomed; 2017 Nov; 151():123-138. PubMed ID: 28946994
[TBL] [Abstract][Full Text] [Related]
15. Contourlet-based active contour model for PET image segmentation.
Abdoli M; Dierckx RA; Zaidi H
Med Phys; 2013 Aug; 40(8):082507. PubMed ID: 23927352
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. 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]
19. Impact of consensus contours from multiple PET segmentation methods on the accuracy of functional volume delineation.
Schaefer A; Vermandel M; Baillet C; Dewalle-Vignion AS; Modzelewski R; Vera P; Massoptier L; Parcq C; Gibon D; Fechter T; Nemer U; Gardin I; Nestle U
Eur J Nucl Med Mol Imaging; 2016 May; 43(5):911-924. PubMed ID: 26567163
[TBL] [Abstract][Full Text] [Related]
20. An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images.
Caballo M; Boone JM; Mann R; Sechopoulos I
Med Phys; 2018 Jun; 45(6):2542-2559. PubMed ID: 29676025
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
