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Items: 1 to 20 of 137

1.

Optimal co-segmentation of tumor in PET-CT images with context information.

Song Q, Bai J, Han D, Bhatia S, Sun W, Rockey W, Bayouth JE, Buatti JM, Wu X.

IEEE Trans Med Imaging. 2013 Sep;32(9):1685-97. doi: 10.1109/TMI.2013.2263388. Epub 2013 May 16.

2.

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.

3.

Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images.

Ju W, Xiang D, Zhang B, Wang L, Kopriva I, Chen X.

IEEE Trans Image Process. 2015 Dec;24(12):5854-67. doi: 10.1109/TIP.2015.2488902. Epub 2015 Oct 8.

PMID:
26462198
4.

Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information.

Xia Y, Eberl S, Wen L, Fulham M, Feng DD.

Comput Med Imaging Graph. 2012 Jan;36(1):47-53. doi: 10.1016/j.compmedimag.2011.06.004. Epub 2011 Jun 29.

PMID:
21719257
5.

Automatic lung tumor segmentation on PET/CT images using fuzzy Markov random field model.

Guo Y, Feng Y, Sun J, Zhang N, Lin W, Sa Y, Wang P.

Comput Math Methods Med. 2014;2014:401201. doi: 10.1155/2014/401201. Epub 2014 May 29.

6.

Novel multimodality segmentation using level sets and Jensen-Rényi divergence.

Markel D, Zaidi H, El Naqa I.

Med Phys. 2013 Dec;40(12):121908. doi: 10.1118/1.4828836.

PMID:
24320519
7.

Display of positron emission tomography with Cadplan.

Ackerly T, Andrews J, Ball D, Binns D, Clark R, D'Costa I, Hicks RJ, Kenny M, Lau E, MacManus M, Song G.

Australas Phys Eng Sci Med. 2002 Jul;25(2):67-77.

PMID:
12219847
8.

Tumor volume delineation in head and neck cancer with 18-fluor-fluorodeoxiglucose positron emission tomography: adaptive thresholding method applied to primary tumors and metastatic lymph nodes.

Perez-Romasanta LA, Bellon-Guardia M, Torres-Donaire J, Lozano-Martin E, Sanz-Martin M, Velasco-Jimenez J.

Clin Transl Oncol. 2013 Apr;15(4):283-93. doi: 10.1007/s12094-012-0914-z. Epub 2012 Aug 3.

PMID:
22865325
9.

Tissue segmentation of head and neck CT images for treatment planning: a multiatlas approach combined with intensity modeling.

Fortunati V, Verhaart RF, van der Lijn F, Niessen WJ, Veenland JF, Paulides MM, van Walsum T.

Med Phys. 2013 Jul;40(7):071905. doi: 10.1118/1.4810971.

PMID:
23822442
10.

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
11.

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
12.

Comparison of positron emission tomography (PET) and computed tomography (CT) for better target volume definition in radiation therapy planning.

Vila A, Sánchez-Reyes A, Conill C, Gispert JD, Trampal C, Láinez C, Vayreda J, Pedro A.

Clin Transl Oncol. 2010 May;12(5):367-73. doi: 10.1007/s12094-010-0518-4.

PMID:
20466621
13.

Automatic delineation of tumor volumes by co-segmentation of combined PET/MR data.

Leibfarth S, Eckert F, Welz S, Siegel C, Schmidt H, Schwenzer N, Zips D, Thorwarth D.

Phys Med Biol. 2015 Jul 21;60(14):5399-412. doi: 10.1088/0031-9155/60/14/5399. Epub 2015 Jun 25.

PMID:
26111013
14.

[18FDG] PET-CT-based intensity-modulated radiotherapy treatment planning of head and neck cancer.

El-Bassiouni M, Ciernik IF, Davis JB, El-Attar I, Reiner B, Burger C, Goerres GW, Studer GM.

Int J Radiat Oncol Biol Phys. 2007 Sep 1;69(1):286-93.

PMID:
17707283
15.

Automated radiation targeting in head-and-neck cancer using region-based texture analysis of PET and CT images.

Yu H, Caldwell C, Mah K, Poon I, Balogh J, MacKenzie R, Khaouam N, Tirona R.

Int J Radiat Oncol Biol Phys. 2009 Oct 1;75(2):618-25. doi: 10.1016/j.ijrobp.2009.04.043. Epub 2009 Aug 14.

PMID:
19683403
16.

Motion-compensated PET image reconstruction with respiratory-matched attenuation correction using two low-dose inhale and exhale CT images.

Nam WH, Ahn IJ, Kim KM, Kim BI, Ra JB.

Phys Med Biol. 2013 Oct 21;58(20):7355-74. doi: 10.1088/0031-9155/58/20/7355. Epub 2013 Sep 27.

PMID:
24077219
17.

Coregistered FDG PET/CT-based textural characterization of head and neck cancer for radiation treatment planning.

Yu H, Caldwell C, Mah K, Mozeg D.

IEEE Trans Med Imaging. 2009 Mar;28(3):374-83. doi: 10.1109/TMI.2008.2004425.

PMID:
19244009
18.

PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

Zaidi H, El Naqa I.

Eur J Nucl Med Mol Imaging. 2010 Nov;37(11):2165-87. doi: 10.1007/s00259-010-1423-3. Epub 2010 Mar 25. Review.

PMID:
20336455
19.

PET image reconstruction with anatomical edge guided level set prior.

Cheng-Liao J, Qi J.

Phys Med Biol. 2011 Nov 7;56(21):6899-918. doi: 10.1088/0031-9155/56/21/009. Epub 2011 Oct 7.

20.

A computational pipeline for quantification of pulmonary infections in small animal models using serial PET-CT imaging.

Bagci U, Foster B, Miller-Jaster K, Luna B, Dey B, Bishai WR, Jonsson CB, Jain S, Mollura DJ.

EJNMMI Res. 2013 Jul 23;3(1):55. doi: 10.1186/2191-219X-3-55.

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