216 related articles for article (PubMed ID: 22647928)
1. Twelve automated thresholding methods for segmentation of PET images: a phantom study.
Prieto E; Lecumberri P; Pagola M; Gómez M; Bilbao I; Ecay M; Peñuelas I; Martí-Climent JM
Phys Med Biol; 2012 Jun; 57(12):3963-80. PubMed ID: 22647928
[TBL] [Abstract][Full Text] [Related]
2. Segmentation of PET volumes by iterative image thresholding.
Jentzen W; Freudenberg L; Eising EG; Heinze M; Brandau W; Bockisch A
J Nucl Med; 2007 Jan; 48(1):108-14. PubMed ID: 17204706
[TBL] [Abstract][Full Text] [Related]
3. Influence of different contributions of scatter and attenuation on the threshold values in contrast-based algorithms for volume segmentation.
Matheoud R; Della Monica P; Secco C; Loi G; Krengli M; Inglese E; Brambilla M
Phys Med; 2011 Jan; 27(1):44-51. PubMed ID: 20399128
[TBL] [Abstract][Full Text] [Related]
4. PET based volume segmentation with emphasis on the iterative TrueX algorithm.
Knäusl B; Hirtl A; Dobrozemsky G; Bergmann H; Kletter K; Dudczak R; Georg D
Z Med Phys; 2012 Feb; 22(1):29-39. PubMed ID: 21251804
[TBL] [Abstract][Full Text] [Related]
5. Static and moving phantom studies for radiation treatment planning in a positron emission tomography and computed tomography (PET/CT) system.
Okubo M; Nishimura Y; Nakamatsu K; Okumura M; Shibata T; Kanamori S; Hanaoka K; Hosono M
Ann Nucl Med; 2008 Aug; 22(7):579-86. PubMed ID: 18756360
[TBL] [Abstract][Full Text] [Related]
6. A virtual sinogram method to reduce dental metallic implant artefacts in computed tomography-based attenuation correction for PET.
Abdoli M; Ay MR; Ahmadian A; Zaidi H
Nucl Med Commun; 2010 Jan; 31(1):22-31. PubMed ID: 19829166
[TBL] [Abstract][Full Text] [Related]
7. Three-region MRI-based whole-body attenuation correction for automated PET reconstruction.
Steinberg J; Jia G; Sammet S; Zhang J; Hall N; Knopp MV
Nucl Med Biol; 2010 Feb; 37(2):227-35. PubMed ID: 20152722
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of advanced automatic PET segmentation methods using nonspherical thin-wall inserts.
Berthon B; Marshall C; Evans M; Spezi E
Med Phys; 2014 Feb; 41(2):022502. PubMed ID: 24506646
[TBL] [Abstract][Full Text] [Related]
9. Fusion of PET and CT images using wavelet transform.
Shalchian B; Rajabi H; Soltanian-zadeh H
Hell J Nucl Med; 2009; 12(3):238-43. PubMed ID: 19936335
[TBL] [Abstract][Full Text] [Related]
10. Automated 3-dimensional elastic registration of whole-body PET and CT from separate or combined scanners.
Shekhar R; Walimbe V; Raja S; Zagrodsky V; Kanvinde M; Wu G; Bybel B
J Nucl Med; 2005 Sep; 46(9):1488-96. PubMed ID: 16157532
[TBL] [Abstract][Full Text] [Related]
11. An automatic method for PET target segmentation using a lookup table based on volume and concentration ratio.
Zheng Y; Syh J; Yao M; Wessels B
Technol Cancer Res Treat; 2010 Jun; 9(3):243-52. PubMed ID: 20441234
[TBL] [Abstract][Full Text] [Related]
12. Multimodal virtual bronchoscopy using PET/CT images.
Englmeier KH; Seemann MD
Comput Aided Surg; 2008 Mar; 13(2):106-13. PubMed ID: 18317959
[TBL] [Abstract][Full Text] [Related]
13. Comparison of 3 methods of automated internal carotid segmentation in human brain PET studies: application to the estimation of arterial input function.
Zanotti-Fregonara P; Maroy R; Comtat C; Jan S; Gaura V; Bar-Hen A; Ribeiro MJ; Trébossen R
J Nucl Med; 2009 Mar; 50(3):461-7. PubMed ID: 19223421
[TBL] [Abstract][Full Text] [Related]
14. An improved iterative thresholding method to delineate PET volumes using the delineation-averaged signal instead of the enclosed maximum signal.
Jentzen W
J Nucl Med Technol; 2015 Mar; 43(1):28-35. PubMed ID: 25655341
[TBL] [Abstract][Full Text] [Related]
15. Reproducibility of the adaptive thresholding calibration procedure for the delineation of 18F-FDG-PET-positive lesions.
Doyeux K; Vauclin S; Hapdey S; Daouk J; Edet-Sanson A; Vera P; Gardin I
Nucl Med Commun; 2013 May; 34(5):432-8. PubMed ID: 23478589
[TBL] [Abstract][Full Text] [Related]
16. Multisphere phantom and analysis algorithm for PET image quality assessment.
Wilson JM; Turkington TG
Phys Med Biol; 2008 Jun; 53(12):3267-78. PubMed ID: 18506071
[TBL] [Abstract][Full Text] [Related]
17. A new method for volume segmentation of PET images, based on possibility theory.
Dewalle-Vignion AS; Betrouni N; Lopes R; Huglo D; Stute S; Vermandel M
IEEE Trans Med Imaging; 2011 Feb; 30(2):409-23. PubMed ID: 20952337
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. The use of zeolites to generate PET phantoms for the validation of quantification strategies in oncology.
Zito F; De Bernardi E; Soffientini C; Canzi C; Casati R; Gerundini P; Baselli G
Med Phys; 2012 Sep; 39(9):5353-61. PubMed ID: 22957603
[TBL] [Abstract][Full Text] [Related]
20. Segmentation of rodent whole-body dynamic PET images: an unsupervised method based on voxel dynamics.
Maroy R; Boisgard R; Comtat C; Frouin V; Cathier P; Duchesnay E; Dollé F; Nielsen PE; Trébossen R; Tavitian B
IEEE Trans Med Imaging; 2008 Mar; 27(3):342-54. PubMed ID: 18334430
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]