121 related articles for article (PubMed ID: 19964265)
21. Early detection of human glioma sphere xenografts in mouse brain using diffusion MRI at 14.1 T.
Porcari P; Hegi ME; Lei H; Hamou MF; Vassallo I; Capuani S; Gruetter R; Mlynarik V
NMR Biomed; 2016 Nov; 29(11):1577-1589. PubMed ID: 27717037
[TBL] [Abstract][Full Text] [Related]
22. Cerebral gliomas: diffusional kurtosis imaging analysis of microstructural differences.
Raab P; Hattingen E; Franz K; Zanella FE; Lanfermann H
Radiology; 2010 Mar; 254(3):876-81. PubMed ID: 20089718
[TBL] [Abstract][Full Text] [Related]
23. Modeling of glioma growth using modified reaction-diffusion equation on brain MR images.
Zhang Y; Liu PX; Hou W
Comput Methods Programs Biomed; 2022 Dec; 227():107233. PubMed ID: 36375418
[TBL] [Abstract][Full Text] [Related]
24. Comparative study between spatio-temporal models for brain tumor growth.
Elaff I
Biochem Biophys Res Commun; 2018 Feb; 496(4):1263-1268. PubMed ID: 29409944
[TBL] [Abstract][Full Text] [Related]
25. Use of fractional anisotropy for determination of the cut-off value in 11C-methionine positron emission tomography for glioma.
Kinoshita M; Hashimoto N; Goto T; Yanagisawa T; Okita Y; Kagawa N; Kishima H; Tanaka H; Fujita N; Shimosegawa E; Hatazawa J; Yoshimine T
Neuroimage; 2009 Apr; 45(2):312-8. PubMed ID: 19111621
[TBL] [Abstract][Full Text] [Related]
26. Microscopic DTI accurately identifies early glioma cell migration: correlation with multimodal imaging in a new glioma stem cell model.
Gimenez U; Perles-Barbacaru AT; Millet A; Appaix F; El-Atifi M; Pernet-Gallay K; van der Sanden B; Berger F; Lahrech H
NMR Biomed; 2016 Nov; 29(11):1553-1562. PubMed ID: 27717043
[TBL] [Abstract][Full Text] [Related]
27. Dipole estimation errors due to differences in modeling anisotropic conductivities in realistic head models for EEG source analysis.
Hallez H; Vanrumste B; Van Hese P; Delputte S; Lemahieu I
Phys Med Biol; 2008 Apr; 53(7):1877-94. PubMed ID: 18364544
[TBL] [Abstract][Full Text] [Related]
28. Biopsy targeting gliomas: do functional imaging techniques identify similar target areas?
Weber MA; Henze M; Tüttenberg J; Stieltjes B; Meissner M; Zimmer F; Burkholder I; Kroll A; Combs SE; Vogt-Schaden M; Giesel FL; Zoubaa S; Haberkorn U; Kauczor HU; Essig M
Invest Radiol; 2010 Dec; 45(12):755-68. PubMed ID: 20829706
[TBL] [Abstract][Full Text] [Related]
29. In-silico oncology: an approximate model of brain tumor mass effect based on directly manipulated free form deformation.
Becker S; Mang A; Toma A; Buzug TM
Int J Comput Assist Radiol Surg; 2010 Nov; 5(6):607-22. PubMed ID: 20852951
[TBL] [Abstract][Full Text] [Related]
30. Glioma growth modeling based on the effect of vital nutrients and metabolic products.
Papadogiorgaki M; Koliou P; Zervakis ME
Med Biol Eng Comput; 2018 Sep; 56(9):1683-1697. PubMed ID: 29516334
[TBL] [Abstract][Full Text] [Related]
31. In vivo detection of reduced scattering coefficient of C6 glioma in rat brain tissue by near-infrared spectroscopy.
Dai L; Qian Z; Li K; Yang T; Wang H
J Biomed Opt; 2008; 13(4):044003. PubMed ID: 19021331
[TBL] [Abstract][Full Text] [Related]
32. [Automatic diagnosis of malignant degree of brain glioma based on Bayesian network].
Ma J; Yang J; Geng D
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Feb; 23(1):184-8. PubMed ID: 16532837
[TBL] [Abstract][Full Text] [Related]
33. Mathematical modeling of glioma on MRI.
Mandonnet E
Rev Neurol (Paris); 2011 Oct; 167(10):715-20. PubMed ID: 21890155
[TBL] [Abstract][Full Text] [Related]
34. Efficiency of semi-implicit schemes for anisotropic diffusion in the hypercube.
Méndez-Rial R; Martín-Herrero J
IEEE Trans Image Process; 2012 May; 21(5):2389-98. PubMed ID: 22167630
[TBL] [Abstract][Full Text] [Related]
35. Reduction of noise in diffusion tensor images using anisotropic smoothing.
Ding Z; Gore JC; Anderson AW
Magn Reson Med; 2005 Feb; 53(2):485-90. PubMed ID: 15678537
[TBL] [Abstract][Full Text] [Related]
36. Pattern recognition of MRSI data shows regions of glioma growth that agree with DTI markers of brain tumor infiltration.
Wright AJ; Fellows G; Byrnes TJ; Opstad KS; McIntyre DJ; Griffiths JR; Bell BA; Clark CA; Barrick TR; Howe FA
Magn Reson Med; 2009 Dec; 62(6):1646-51. PubMed ID: 19785020
[TBL] [Abstract][Full Text] [Related]
37. Mechanically Coupled Reaction-Diffusion Model to Predict Glioma Growth: Methodological Details.
Hormuth DA; Eldridge SL; Weis JA; Miga MI; Yankeelov TE
Methods Mol Biol; 2018; 1711():225-241. PubMed ID: 29344892
[TBL] [Abstract][Full Text] [Related]
38. Perfusion, diffusion and spectroscopy values in newly diagnosed cerebral gliomas.
Catalaa I; Henry R; Dillon WP; Graves EE; McKnight TR; Lu Y; Vigneron DB; Nelson SJ
NMR Biomed; 2006 Jun; 19(4):463-75. PubMed ID: 16763973
[TBL] [Abstract][Full Text] [Related]
39. Computer simulation of glioma growth and morphology.
Frieboes HB; Lowengrub JS; Wise S; Zheng X; Macklin P; Bearer EL; Cristini V
Neuroimage; 2007; 37 Suppl 1(Suppl 1):S59-70. PubMed ID: 17475515
[TBL] [Abstract][Full Text] [Related]
40. Diffusion tensor analysis of peritumoral edema using lambda chart analysis indicative of the heterogeneity of the microstructure within edema.
Morita K; Matsuzawa H; Fujii Y; Tanaka R; Kwee IL; Nakada T
J Neurosurg; 2005 Feb; 102(2):336-41. PubMed ID: 15739563
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
