These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
143 related articles for article (PubMed ID: 17915012)
21. Clinical evaluation of PET image reconstruction using a spatial resolution model. Andersen FL; Klausen TL; Loft A; Beyer T; Holm S Eur J Radiol; 2013 May; 82(5):862-9. PubMed ID: 23254158 [TBL] [Abstract][Full Text] [Related]
22. [Not Available]. la Fougère C Rofo; 2017 Jan; 188(1):12-13. PubMed ID: 28068733 [No Abstract] [Full Text] [Related]
23. 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]
24. Quantification in clinical fluorodeoxyglucose positron emission tomography. Hallett WA Nucl Med Commun; 2004 Jul; 25(7):647-50. PubMed ID: 15208490 [TBL] [Abstract][Full Text] [Related]
25. Delineation of FDG-PET tumors from heterogeneous background using spectral clustering. Yang F; Grigsby PW Eur J Radiol; 2012 Nov; 81(11):3535-41. PubMed ID: 22277291 [TBL] [Abstract][Full Text] [Related]
26. 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. PubMed ID: 21345787 [TBL] [Abstract][Full Text] [Related]
27. Methodologic Considerations for Quantitative 18F-FDG PET/CT Studies of Hepatic Glucose Metabolism in Healthy Subjects. Trägårdh M; Møller N; Sørensen M J Nucl Med; 2015 Sep; 56(9):1366-71. PubMed ID: 26159590 [TBL] [Abstract][Full Text] [Related]
28. Diagnosis supporting algorithm for lymph node metastases from colorectal carcinoma on 18F-FDG PET/CT. Inoue K; Sato T; Kitamura H; Ito M; Tsunoda Y; Hirayama A; Kurosawa H; Tanaka T; Fukushi M; Moriyama N; Fujii H Ann Nucl Med; 2008 Jan; 22(1):41-8. PubMed ID: 18250986 [TBL] [Abstract][Full Text] [Related]
29. Semiautomatic volume of interest drawing for (18)F-FDG image analysis-method and preliminary results. Green AJ; Francis RJ; Baig S; Begent RH Eur J Nucl Med Mol Imaging; 2008 Feb; 35(2):393-406. PubMed ID: 17909793 [TBL] [Abstract][Full Text] [Related]
30. A region growing method for tumor volume segmentation on PET images for rectal and anal cancer patients. Day E; Betler J; Parda D; Reitz B; Kirichenko A; Mohammadi S; Miften M Med Phys; 2009 Oct; 36(10):4349-58. PubMed ID: 19928065 [TBL] [Abstract][Full Text] [Related]
31. Dynamic positron emission tomography data-driven analysis using sparse Bayesian learning. Peng JY; Aston JA; Gunn RN; Liou CY; Ashburner J IEEE Trans Med Imaging; 2008 Sep; 27(9):1356-69. PubMed ID: 18753048 [TBL] [Abstract][Full Text] [Related]
32. Clinical implications of different image reconstruction parameters for interpretation of whole-body PET studies in cancer patients. Schöder H; Erdi YE; Chao K; Gonen M; Larson SM; Yeung HW J Nucl Med; 2004 Apr; 45(4):559-66. PubMed ID: 15073250 [TBL] [Abstract][Full Text] [Related]
33. Explicit incorporation of prior anatomical information into a nonrigid registration of thoracic and abdominal CT and 18-FDG whole-body emission PET images. Camara O; Delso G; Colliot O; Moreno-Ingelmo A; Bloch I IEEE Trans Med Imaging; 2007 Feb; 26(2):164-78. PubMed ID: 17304731 [TBL] [Abstract][Full Text] [Related]
34. Robustness of multivariate image analysis assessed by resampling techniques and applied to FDG-PET scans of patients with Alzheimer's disease. Markiewicz PJ; Matthews JC; Declerck J; Herholz K Neuroimage; 2009 Jun; 46(2):472-85. PubMed ID: 19385015 [TBL] [Abstract][Full Text] [Related]
35. 18F-FDG PET of gliomas at delayed intervals: improved distinction between tumor and normal gray matter. Spence AM; Muzi M; Mankoff DA; O'Sullivan SF; Link JM; Lewellen TK; Lewellen B; Pham P; Minoshima S; Swanson K; Krohn KA J Nucl Med; 2004 Oct; 45(10):1653-9. PubMed ID: 15471829 [TBL] [Abstract][Full Text] [Related]
36. Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm. Onoma DP; Ruan S; Thureau S; Nkhali L; Modzelewski R; Monnehan GA; Vera P; Gardin I Comput Med Imaging Graph; 2014 Dec; 38(8):753-63. PubMed ID: 25450759 [TBL] [Abstract][Full Text] [Related]
37. 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]
38. 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]
39. Usefulness of non attenuation corrected 18F-FDG-PET images for optimal assessment of disease activity in patients with lymphoma. Houseni M; Chamroonrat W; Basu S; Bural G; Mavi A; Kumar R; Alavi A Hell J Nucl Med; 2009; 12(1):5-9. PubMed ID: 19330173 [TBL] [Abstract][Full Text] [Related]
40. FDG-PET-based differential uptake volume histograms: a possible approach towards definition of biological target volumes. Devic S; Mohammed H; Tomic N; Aldelaijan S; De Blois F; Seuntjens J; Lehnert S; Faria S Br J Radiol; 2016 Jun; 89(1062):20150388. PubMed ID: 27007269 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]