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570 related items for PubMed ID: 17117770
1. Twenty new digital brain phantoms for creation of validation image data bases. Aubert-Broche B, Griffin M, Pike GB, Evans AC, Collins DL. IEEE Trans Med Imaging; 2006 Nov; 25(11):1410-6. PubMed ID: 17117770 [Abstract] [Full Text] [Related]
2. Design and construction of a realistic digital brain phantom. Collins DL, Zijdenbos AP, Kollokian V, Sled JG, Kabani NJ, Holmes CJ, Evans AC. IEEE Trans Med Imaging; 1998 Jun; 17(3):463-8. PubMed ID: 9735909 [Abstract] [Full Text] [Related]
3. An MRI digital brain phantom for validation of segmentation methods. Alfano B, Comerci M, Larobina M, Prinster A, Hornak JP, Selvan SE, Amato U, Quarantelli M, Tedeschi G, Brunetti A, Salvatore M. Med Image Anal; 2011 Jun; 15(3):329-39. PubMed ID: 21317021 [Abstract] [Full Text] [Related]
4. Design and construction of a brain phantom to simulate neonatal MR images. Kazemi K, Moghaddam HA, Grebe R, Gondry-Jouet C, Wallois F. Comput Med Imaging Graph; 2011 Apr; 35(3):237-50. PubMed ID: 21146956 [Abstract] [Full Text] [Related]
5. Magnetic resonance image tissue classification using a partial volume model. Shattuck DW, Sandor-Leahy SR, Schaper KA, Rottenberg DA, Leahy RM. Neuroimage; 2001 May; 13(5):856-76. PubMed ID: 11304082 [Abstract] [Full Text] [Related]
6. Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images. Cuadra MB, Cammoun L, Butz T, Cuisenaire O, Thiran JP. IEEE Trans Med Imaging; 2005 Dec; 24(12):1548-65. PubMed ID: 16350916 [Abstract] [Full Text] [Related]
7. Validation of partial tissue segmentation of single-channel magnetic resonance images of the brain. Grabowski TJ, Frank RJ, Szumski NR, Brown CK, Damasio H. Neuroimage; 2000 Dec; 12(6):640-56. PubMed ID: 11112396 [Abstract] [Full Text] [Related]
8. Automatic segmentation of magnetic resonance images using a decision tree with spatial information. Chao WH, Chen YY, Lin SH, Shih YY, Tsang S. Comput Med Imaging Graph; 2009 Mar; 33(2):111-21. PubMed ID: 19097854 [Abstract] [Full Text] [Related]
9. Hybrid computational phantoms of the male and female newborn patient: NURBS-based whole-body models. Lee C, Lodwick D, Hasenauer D, Williams JL, Lee C, Bolch WE. Phys Med Biol; 2007 Jun 21; 52(12):3309-33. PubMed ID: 17664546 [Abstract] [Full Text] [Related]
10. Segmentation of MRI brain scans using non-uniform partial volume densities. Brouwer RM, Hulshoff Pol HE, Schnack HG. Neuroimage; 2010 Jan 01; 49(1):467-77. PubMed ID: 19635574 [Abstract] [Full Text] [Related]
11. Automatic segmentation and classification of multiple sclerosis in multichannel MRI. Akselrod-Ballin A, Galun M, Gomori JM, Filippi M, Valsasina P, Basri R, Brandt A. IEEE Trans Biomed Eng; 2009 Oct 01; 56(10):2461-9. PubMed ID: 19758850 [Abstract] [Full Text] [Related]
12. Probabilistic brain tissue segmentation in neonatal magnetic resonance imaging. Anbeek P, Vincken KL, Groenendaal F, Koeman A, van Osch MJ, van der Grond J. Pediatr Res; 2008 Feb 01; 63(2):158-63. PubMed ID: 18091357 [Abstract] [Full Text] [Related]
13. A cross validation study of deep brain stimulation targeting: from experts to atlas-based, segmentation-based and automatic registration algorithms. Castro FJ, Pollo C, Meuli R, Maeder P, Cuisenaire O, Cuadra MB, Villemure JG, Thiran JP. IEEE Trans Med Imaging; 2006 Nov 01; 25(11):1440-50. PubMed ID: 17117773 [Abstract] [Full Text] [Related]
14. Multispectral quantitative magnetic resonance imaging of brain iron stores: a theoretical perspective. Jara H, Sakai O, Mankal P, Irving RP, Norbash AM. Top Magn Reson Imaging; 2006 Feb 01; 17(1):19-30. PubMed ID: 17179894 [Abstract] [Full Text] [Related]
15. Probabilistic segmentation of brain tissue in MR imaging. Anbeek P, Vincken KL, van Bochove GS, van Osch MJ, van der Grond J. Neuroimage; 2005 Oct 01; 27(4):795-804. PubMed ID: 16019235 [Abstract] [Full Text] [Related]
16. Relaxo-volumetric multispectral quantitative magnetic resonance imaging of the brain over the human lifespan: global and regional aging patterns. Saito N, Sakai O, Ozonoff A, Jara H. Magn Reson Imaging; 2009 Sep 01; 27(7):895-906. PubMed ID: 19520539 [Abstract] [Full Text] [Related]
17. Evaluation of accuracy in MS lesion volumetry using realistic lesion phantoms. Rexilius J, Hahn HK, Schlüter M, Bourquain H, Peitgen HO. Acad Radiol; 2005 Jan 01; 12(1):17-24. PubMed ID: 15691722 [Abstract] [Full Text] [Related]
18. Voxel-based iterative sensitivity (VBIS) analysis: methods and a validation of intensity scaling for T2-weighted imaging of hippocampal sclerosis. Abbott DF, Pell GS, Pardoe H, Jackson GD. Neuroimage; 2009 Feb 01; 44(3):812-9. PubMed ID: 18996207 [Abstract] [Full Text] [Related]
19. A new improved version of the realistic digital brain phantom. Aubert-Broche B, Evans AC, Collins L. Neuroimage; 2006 Aug 01; 32(1):138-45. PubMed ID: 16750398 [Abstract] [Full Text] [Related]
20. The creation of a brain atlas for image guided neurosurgery using serial histological data. Chakravarty MM, Bertrand G, Hodge CP, Sadikot AF, Collins DL. Neuroimage; 2006 Apr 01; 30(2):359-76. PubMed ID: 16406816 [Abstract] [Full Text] [Related] Page: [Next] [New Search]