Academic Radiology
Volume 15, Issue 3 , Pages 274-284 , March 2008

Automated Method for Identification of Patients With Alzheimer’s Disease Based on Three-dimensional MR Images

  • Hidetaka Arimura, PhD

      Affiliations

    • Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
    • Corresponding Author InformationAddress correspondence to: H.A.
  • ,
  • Takashi Yoshiura, MD, PhD

      Affiliations

    • Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
  • ,
  • Seiji Kumazawa, PhD

      Affiliations

    • Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
  • ,
  • Kazuhiro Tanaka, MD, PhD

      Affiliations

    • Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
  • ,
  • Hiroshi Koga, MD, PhD

      Affiliations

    • Department of Neuropsychiatry, Okumura Hospital, Fukuoka 839-1321, Japan
  • ,
  • Futoshi Mihara, MD, PhD

      Affiliations

    • Department of Radiology, National Fukuoka-Higashi Medical Center, Fukuoka 811-3195, Japan.
  • ,
  • Hiroshi Honda, MD, PhD

      Affiliations

    • Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
  • ,
  • Shuji Sakai, MD, PhD

      Affiliations

    • Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
  • ,
  • Fukai Toyofuku, PhD

      Affiliations

    • Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
  • ,
  • Yoshiharu Higashida, PhD

      Affiliations

    • Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan

Received 10 July 2007 ,Accepted 12 October 2007.

References 

  1. World Health Organization. The World Health Report 2006: Working Together for Health. http://www.who.int/whr/2006/en/index.html
  2. Jellinger KA. Alzheimer 100: Highlights in the history of Alzheimer research. J Neural Transm. 2006;113:1603–1623
  3. Xu C, Pham DL, Rettmann ME, et al. Reconstruction of the human cerebral cortex from magnetic resonance images. IEEE Trans Med Imaging. 1999;18:467–480
  4. Kovacevic N, Lobaugh NJ, Bronskill MJ, et al. A robust method for extraction and automatic segmentation of brain images. NeuroImage. 2002;17:1087–1100
  5. Goldenberg R, Kimmel R, Rivlin E, et al. Cortex segmentation: A fast variational geometric approach. IEEE Trans Med Imaging. 2002;21:1544–1551
  6. Zeng X, Staib LH, Schultz RT, et al. Segmentation and measurement of the cortex from 3D MR images using coupled surfaces propagation. IEEE Trans Med Imaging. 1999;18:100–101
  7. MacDonald D, Kabani N, Avis D, et al. Automated 3D extraction of inner and outer surfaces of cerebral cortex from MRI. NeuroImage. 2000;12:340–356
  8. Fischl B, Dale AM. Measuring the thickness of the human cerebral cortex from magnetic resonance images. PNAS. 2000;97:11050–11055
  9. Jones SE, Buchbinder BR, Aharon I. Three-dimensional mapping of cortical thickness using Laplace’s equation. Hum Brain Mapp. 2000;11:12–32
  10. Thacker NA, Varma AR, Bathgate D. Dementing disorders: Volumetric measurement of cerebrospinal fluid to distinguish normal from pathologic findings—Feasibility study. Radiology. 2002;224:278–285
  11. Barra V, Frenoux E, Boire J-Y. Automatic volumetric measurement of lateral ventricles on magnetic resonance images with correction of partial volume effects. J Magn Reson Imaging. 2002;15:16–22
  12. Ashburner J, Friston KJ. Voxel-based morphometry: The methods. NeuroImage. 2000;11:805–821
  13. Hirata Y, Matsuda H, Nemoto K, et al. Voxel-based morphometry to discriminate early Alzheimer’s disease from controls. Neurosci Lett. 2005;382:269–274
  14. Arimura H, Li Q, Korogi Y, et al. Automated computerized scheme for detection of unruptured intracranial aneurysms in three-dimensional MRA. Acad Radiol. 2004;11:1093–1104
  15. Arimura H, Li Q, Korogi Y, et al. Computerized detection of intracranial aneurysms for 3D MR angiography: Feature extraction of small protrusions based on a shape-based difference image technique. Med Phys 33:394–401.
  16. Arimura H, Yoshiura T, Kumazawa S, et al. Computerized method for automated measurement of thickness of cerebral cortex for 3D MR images. SPIE Proc. 2006;6144:1239–1246
  17. Arimura H, Yoshiura T, Kumazawa S, et al. Automated volumetric measurement of cerebrospinal fluid in sulci and lateral ventricles based on 3D MR images. IFMBE Proc. 2006;14:2184–2187
  18. Sethian JA. Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science. Cambridge: Cambridge University Press; 1999;
  19. Malladi R, Sethian JA, Vemuri BC. Shape modeling with front propagation: A level set approach. IEEE Trans Pattern Anal Mach Intell. 1995;17:158–175
  20. Deng J, Tsui HT. A fast level set method for segmentation of low contrast noisy biomedical images. Pattern Recogn Lett. 2002;23:161–169
  21. Vapnik VN. The Nature of Statistical Learning Theory: Statistics for Engineering and Information Science. 2nd ed.. New York: Springer-Verlag; 1999;
  22. Cristianini N, Shawe-Taylor J. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge: Cambridge University Press; 2000;
  23. Joachims T. SVMlight. Cornell University. http://svmlight.joachims.org/
  24. Campadelli P, Casiraghi E, Artioli D. A fully automated method for lung nodule detection from postero-anterior chest radiographs. IEEE Trans Med Imaging 25:1588–1603.
  25. Golub TR, Slonim DK, Tamayo P, et al. Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science. 1999;286:531–537
  26. Jain AK, Duin RPW, Jianchang M. Statistical pattern recognition: a review. IEEE Trans Pattern Anal Mach Intell. 2000;22:4–37
  27. Metz CE. ROC Software ROCKIT (The University of Chicago). http://xray.bsd.uchicago.edu/krl/roc_soft6.htm
  28. Matsumae M, Kikinis R, Mórocz L, et al. Intracranial compartment volumes in patients with enlarged ventricles assessed by magnetic resonance-based image processing. J Neurosurg. 1996;84:972–981
  29. Jorm AF, Korten E, Henderson AS. The prevalence of dementia: A quantitative integration of the literature. Acta Psychiat Scand. 1987;76:465–479
  30. Mölsä PK, Matilla RJ, Rinne UK. Epidemiology of dementia in a Finnish population. Acta Neurol Scand. 1982;65:541–552
  31. Yamada T, Kadekaru H, Matsumoto S, et al. Prevalence of dementia in the older Japanese-Brazilian population. Psychiatry Clin Neurosci. 2002;56:71–75

PII: S1076-6332(07)00630-7

doi: 10.1016/j.acra.2007.10.020

Academic Radiology
Volume 15, Issue 3 , Pages 274-284 , March 2008