Medical Image Analysis
Volume 14, Issue 3 , Pages 373-389 , June 2010

Evaluation of brain atrophy estimation algorithms using simulated ground-truth data

  • S. Sharma

      Affiliations

    • Laboratoire d’Imagerie et de Neurosciences Cognitives (LINC-UDS) FRE 3289, CNRS, Strasbourg, France
    • Laboratoire des Sciences de l’Image, de l’Informatique et de la Télédétection (LSIIT-UDS) UMR 7005, CNRS, Illkirch, France
    • Corresponding Author InformationCorresponding author. Address: Institute Physique Biologique, 4, Rue Kirschleger, 67085 Strasbourg, France. Tel.: +33 (0) 390244039; fax: +33 (0) 390244084.
    • ,
  • V. Noblet

      Affiliations

    • Laboratoire des Sciences de l’Image, de l’Informatique et de la Télédétection (LSIIT-UDS) UMR 7005, CNRS, Illkirch, France
    • ,
  • F. Rousseau

      Affiliations

    • Laboratoire des Sciences de l’Image, de l’Informatique et de la Télédétection (LSIIT-UDS) UMR 7005, CNRS, Illkirch, France
    • ,
  • F. Heitz

      Affiliations

    • Laboratoire des Sciences de l’Image, de l’Informatique et de la Télédétection (LSIIT-UDS) UMR 7005, CNRS, Illkirch, France
    • ,
  • L. Rumbach

      Affiliations

    • Laboratoire d’Imagerie et de Neurosciences Cognitives (LINC-UDS) FRE 3289, CNRS, Strasbourg, France
    • Centre Hospitalier Universitaire, Service de Neurologie, Besançon, France
    • ,
  • J.-P. Armspach

      Affiliations

    • Laboratoire d’Imagerie et de Neurosciences Cognitives (LINC-UDS) FRE 3289, CNRS, Strasbourg, France

Received 26 February 2009 ,Revised 1 February 2010 ,Accepted 4 February 2010.

References 

  1. Anderson VM, Fox NC, Miller DH. MRI measures of brain atrophy in multiple sclerosis. Journal of Magnetic Resonance Imaging. 2006;23:605–618
  2. Ashburner J, Friston K. Voxel-based morphometry: the methods. NeuroImage. 2000;11:805–821
  3. Aubert-Broche B, Griffin M, Pike GB, Evans AC, Collins DL. 20 new digital brain phantoms for creation of validation image data bases. IEEE Transactions on Medical Imaging. 2006;25(11):1410–1416
  4. Battaglini M, Smith SM, Brogi S, De Stephano N. Enhanced brain extraction improves the accuracy of brain atrophy estimation. NeuroImage. 2008;40:583–589
  5. Boyes RG, Rueckert D, Aljabar P, Whitwell J, Schott JM, Hill DLG, et al. Cerebral atrophy measurements using jacobian integration: comparison with the boundary shift integral. NeuroImage. 2006;32:159–169
  6. Camara O, Schweiger M, Scahill R, Crum W, Sneller B, Schnabel J, et al. Phenomenological model of diffuse global and regional atrophy using finite-element methods. IEEE Transactions on Medical Imaging. 2006;25(11):1417–1430
  7. Camara O, Schnabel JA, Ridgway GR, Crum WR, Douiri A, Scahill RI, et al. Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal Alzheimer’s disease images. NeuroImage. 2008;42(2):696–709
  8. Caramanos, Z., Fonov, V.S., Francis, S.J., Narayanan, S., Collins, D.L., Arnold, D.L., 2008. Effects of z-shift-associated gradient-distortions on siena-generated measures of brain atrophy. In: MICCAI Workshop on Medical Image Analysis on Multiple Sclerosis (MIAMS08), pp. 13–24.
  9. Chan D, Fox NC, Jenkins R, Scahill RI, Crum WR, Rossor MN. Rates of global and regional cerebral atrophy in AD and frontotemporal dementia. Neurology. 2001;57:1756–1763
  10. Cocosco CA, Kollokian V, Kwan RK-S, Evans AC. BrainWeb: online interface to a 3D MRI simulated brain database. NeuroImage. 1997;5(4):S425
  11. Collins, D.L., Montagnat, J., Zijdenbos, A.P., Evans, A.C., Arnold, D.L., 2001. Automated estimation of brain volume in multiple sclerosis with BICCR. Lecture Notes in Computer Science, vol. 2082, pp. 141–147.
  12. Freeborough PA, Fox NC. The boundary shift integral: an accurate and robust measure of cerebral volume changes from registered repeat MRI. IEEE Transactions on Medical Imaging. 1997;16:623–629
  13. Gudbjartsson H, Patz S. The rician distribution of noisy MRI data. Magnetic Resonance in Medicine. 1995;34(6):910–914
  14. Gunter JL, Shiung MM, Manduca A, Jack CR. Methodological considerations for measuring rates of brain atrophy. Journal of Magnetic Resonance Imaging. 2003;18:16–24
  15. Guttmann CR, Benson SK, Warfield R, Wei X, Anderson M, Hall C, et al. White matter abnormalities in mobility-impaired older persons. Neurology. 2000;54(6):1277–1283
  16. Holden, M., 2001. Registration of 3D serial MR brain images. Ph.D. thesis, University of London.
  17. Horsfield MA, Rovaris M, Rocca MA, Rossi P, Benedict RH, Filippi M, et al. Whole-brain atrophy in multiple sclerosis measured by two segmentation processes from various MRI sequences. Journal of Neurological Sciences. 2003;216(1):169–177
  18. Jenkinson M, Smith S. A global optimisation method for robust affine registration of brain images. Medical Image Analysis. 2001;36:143–156
  19. Karacali B, Davatzikos C. Simulation of tissue atrophy using a topology preserving transformation model. IEEE Transactions on Medical Imaging. 2006;25(5):649–652
  20. Leow AD, Yanovsky I, Chiang AD, Lee MC, Klunder AD, Lu A, et al. Statistical properties of jacobian maps and the realization of unbiased large-deformation nonlinear image registration. IEEE Transactions on Medical Imaging. 2007;26(6):822–832
  21. Noblet V, Heinrich C, Heitz F, Armspach J-P. 3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization. IEEE Transactions on Image Processing. 2005;14(5):553–566
  22. Noblet V, Heinrich C, Heitz F, Armspach J-P. Retrospective evaluation of a topology preserving non-rigid registration method. Medical Image Analysis. 2006;10(3):366–384
  23. Noblet V, Heinrich C, Heitz F, Armspach J-P. Accurate inversion of 3-D transformation fields. IEEE Transactions on Image Processing. 2008;17(10):1963–1968
  24. Paling SM, Williams ED, Barber R, Burton EJ, Crum WC, Fox N, et al. The application of serial MRI analysis techniques to the study of cerebral atrophy in late-onset dementia. Medical Image Analysis. 2003;8:69–79
  25. Pelletier D, Garrison K, Henry R. Measurement of whole-brain atrophy in multiple sclerosis. Journal of NeuroImaging. 2004;14(3):11S–19S
  26. Pieperhoff P, Sudmeyer M, Homke L, Zilles K, Schnitzler A, Amunts K. Detection of structural changes of the human brain in longitudinally acquired MR images by deformation field morphometry: methodological analysis, validation and application. NeuroImage. 2008;43(2):269–287
  27. Press W, Teukolsky S, Vetterling W, Flannery B. Numerical Recipes in C. The Art of Scientific Computing. second ed.. Cambridge University Press; 1992;
  28. Sharma J, Sanfilipo MP, Benedict RH, Weinstock-Guttman B, Munschauer FEr, Bakshi R. Whole-brain atrophy in multiple sclerosis measured by automated versus semiautomated MR imaging segmentation. American Journal of Neuroradiology. 2004;25(6):985–996
  29. Simon JH. Brain atrophy in multiple sclerosis: What we know and would like to know. Multiple Sclerosis (Houndmills, Basingstoke, England). 2006;12(6):679–687
  30. Sluimer JD, Vrenken H, Blankenstein MA, Fox NC, Scheltens F, Barkhof P, et al. Whole-brain atrophy rate in Alzheimer’s disease: identifying fast progressors. Neurology. 2008;70(19):1836–1841
  31. Smith SM. Fast robust automated brain extraction. Human Brain Mapping. 2002;17(3):143–155
  32. Smith SM, De Stefano N, Jenkinson M, Matthews PM. Normalized accurate measurement of longitudinal brain change. Journal of Computer Assisted Tomography. 2001;25(3):466–475
  33. Smith SM, Zhang Y, Jenkinson M, Chen J, Matthews PM, Federico A, et al. Accurate, robust and automated longitudinal and cross-sectional brain change analysis. NeuroImage. 2002;17(1):479–489
  34. Smith SM, Jenkinson M, Woolrich CF, Beckman MW, Behrens TEJ, Johansen-Berg H, et al Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage. 2004;23(S1):208–219
  35. Smith SM, Rao A, De Stefano N, Jenkinson M, Schott JM, Matthews PM, et al. Longitudinal and cross-sectional analysis of atrophy in Alzheimer’s disease: cross validation of BSI, SIENA and SIENAX. NeuroImage. 2007;36:1200–1206
  36. Thompson PM, Hayashi KM, De Zubicaray G, Janke AL, Rose SE, Semple J, et al. Dynamics of gray matter loss in Alzheimer’s disease. The Journal of Neuroscience. 2003;23:994–1005
  37. Woods RP, Grafton ST, Holmes CJ, Cherry SR, Mazziotta JC. Automated image registration: I. General methods and intrasubject, intramodality validation. Journal of Computer Assisted Tomography. 1998;22:139–152
  38. Zhang Y, Brady M, Smith SM. Segmentation of brain MR images through a hidden markov random field model and the expectation maximization algorithm. IEEE Transactions on Medical Imaging. 2001;20(1):45–57

PII: S1361-8415(10)00017-4

doi: 10.1016/j.media.2010.02.002

Medical Image Analysis
Volume 14, Issue 3 , Pages 373-389 , June 2010

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