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Items: 1 to 20 of 73

1.

[Validation of segmentation techniques for positron emission tomography using ex-vivo images of oncological surgical specimens].

Prieto E, Martí-Climent JM, Gómez-Fernández M, García-Velloso MJ, Valero M, Garrastachu P, Aristu J, Alcázar JL, Torre W, Hernández JL, Pardo FJ, Peñuelas I, Richter JA.

Rev Esp Med Nucl Imagen Mol. 2014 Mar-Apr;33(2):79-86. doi: 10.1016/j.remn.2013.06.010. Epub 2013 Aug 13. Spanish.

2.

[Target volume segmentation of PET images by an iterative method based on threshold value].

Castro P, Huerga C, Glaría LA, Plaza R, Rodado S, Marín MD, Mañas A, Serrada A, Núñez L.

Rev Esp Med Nucl Imagen Mol. 2014 Nov-Dec;33(6):331-9. doi: 10.1016/j.remn.2014.02.007. Epub 2014 Apr 4. Spanish.

3.

Comparative methods for PET image segmentation in pharyngolaryngeal squamous cell carcinoma.

Zaidi H, Abdoli M, Fuentes CL, El Naqa IM.

Eur J Nucl Med Mol Imaging. 2012 May;39(5):881-91. doi: 10.1007/s00259-011-2053-0.

4.

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 21;57(12):3963-80. doi: 10.1088/0031-9155/57/12/3963. Epub 2012 May 31.

PMID:
22647928
5.

Validation of automatic target volume definition as demonstrated for 11C-choline PET/CT of human prostate cancer using multi-modality fusion techniques.

Park H, Meyer CR, Wood D, Khan A, Shah R, Hussain H, Siddiqui J, Seo J, Chenevert T, Piert M.

Acad Radiol. 2010 May;17(5):614-23. doi: 10.1016/j.acra.2010.01.003. Epub 2010 Feb 26.

6.

Gradient-based delineation of the primary GTV on FDG-PET in non-small cell lung cancer: a comparison with threshold-based approaches, CT and surgical specimens.

Wanet M, Lee JA, Weynand B, De Bast M, Poncelet A, Lacroix V, Coche E, Grégoire V, Geets X.

Radiother Oncol. 2011 Jan;98(1):117-25. doi: 10.1016/j.radonc.2010.10.006. Epub 2010 Nov 11.

PMID:
21074882
7.

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):911-24. doi: 10.1007/s00259-015-3239-7. Epub 2015 Nov 14.

PMID:
26567163
8.

Anatomically guided voxel-based partial volume effect correction in brain PET: impact of MRI segmentation.

Gutierrez D, Montandon ML, Assal F, Allaoua M, Ratib O, Lövblad KO, Zaidi H.

Comput Med Imaging Graph. 2012 Dec;36(8):610-9. doi: 10.1016/j.compmedimag.2012.09.001. Epub 2012 Oct 6.

PMID:
23046730
9.

Evaluation of GMI and PMI diffeomorphic-based demons algorithms for aligning PET and CT Images.

Yang J, Wang H, Zhang Y, Yin Y.

J Appl Clin Med Phys. 2015 Jul 8;16(4):18–30. doi: 10.1120/jacmp.v16i4.5148.

PMID:
26218993
10.

Which FDG/PET parameters of the primary tumors in colon or sigmoid cancer provide the best correlation with the pathological findings?

Chen SW, Chen WT, Wu YC, Yen KY, Hsieh TC, Lin TY, Kao CH.

Eur J Radiol. 2013 Sep;82(9):e405-10. doi: 10.1016/j.ejrad.2013.04.022. Epub 2013 Jun 5.

PMID:
23759516
11.

Globally optimal tumor segmentation in PET-CT images: a graph-based co-segmentation method.

Han D, Bayouth J, Song Q, Taurani A, Sonka M, Buatti J, Wu X.

Inf Process Med Imaging. 2011;22:245-56.

12.

MRI-based attenuation correction for whole-body PET/MRI: quantitative evaluation of segmentation- and atlas-based methods.

Hofmann M, Bezrukov I, Mantlik F, Aschoff P, Steinke F, Beyer T, Pichler BJ, Schölkopf B.

J Nucl Med. 2011 Sep;52(9):1392-9. doi: 10.2967/jnumed.110.078949. Epub 2011 Aug 9.

13.

[Detection of second tumors in 11C-choline PET/CT studies performed due to biochemical recurrence of prostate cancer].

García JR, Ponce A, Canales M, Ayuso J, Moragas M, Soler M.

Rev Esp Med Nucl Imagen Mol. 2014 Jan-Feb;33(1):28-31. doi: 10.1016/j.remn.2013.01.007. Epub 2013 Mar 14. Spanish.

14.

Real-time volume rendering visualization of dual-modality PET/CT images with interactive fuzzy thresholding segmentation.

Kim J, Cai W, Eberl S, Feng D.

IEEE Trans Inf Technol Biomed. 2007 Mar;11(2):161-9.

PMID:
17390986
15.

Segmentation of VOI from multidimensional dynamic PET images by integrating spatial and temporal features.

Kim J, Cai W, Feng D, Eberl S.

IEEE Trans Inf Technol Biomed. 2006 Oct;10(4):637-46.

PMID:
17044397
16.

Delineation of small mobile tumours with FDG-PET/CT in comparison to pathology in breast cancer patients.

Hapdey S, Edet-Sanson A, Gouel P, Martin B, Modzelewski R, Baron M, Berghian A, Forestier-Lebreton F, Georgescu D, Picquenot JM, Gardin I, Dubray B, Vera P.

Radiother Oncol. 2014 Sep;112(3):407-12. doi: 10.1016/j.radonc.2014.08.005. Epub 2014 Sep 9.

PMID:
25216573
17.

Automated interpretation of PET/CT images in patients with lung cancer.

Gutte H, Jakobsson D, Olofsson F, Ohlsson M, Valind S, Loft A, Edenbrandt L, Kjaer A.

Nucl Med Commun. 2007 Feb;28(2):79-84.

PMID:
17198346
18.

Detection and characterization of tumor changes in 18F-FDG PET patient monitoring using parametric imaging.

Necib H, Garcia C, Wagner A, Vanderlinden B, Emonts P, Hendlisz A, Flamen P, Buvat I.

J Nucl Med. 2011 Mar;52(3):354-61. doi: 10.2967/jnumed.110.080150.

19.

New strategy for automatic tumor segmentation by adaptive thresholding on PET/CT images.

Moussallem M, Valette PJ, Traverse-Glehen A, Houzard C, Jegou C, Giammarile F.

J Appl Clin Med Phys. 2012 Sep 6;13(5):3875. doi: 10.1120/jacmp.v13i5.3875.

PMID:
22955656
20.

Comparison of five segmentation tools for 18F-fluoro-deoxy-glucose-positron emission tomography-based target volume definition in head and neck cancer.

Schinagl DA, Vogel WV, Hoffmann AL, van Dalen JA, Oyen WJ, Kaanders JH.

Int J Radiat Oncol Biol Phys. 2007 Nov 15;69(4):1282-9.

PMID:
17967318

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