Prediction of dementia by hippocampal shape analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6357 LNCS, Issue , 2010, Pages 42-49

  Achterberg, Hakim C ^a   Van Der Lijn, Fedde ^a   Den Heijer, Tom ^a,b   Van Der Lugt, Aad ^a   Breteler, Monique M B ^a   Niessen, Wiro J ^a,c   De Bruijne, Marleen ^a,d  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b SINT FRANCISCUS GASTHUIS   (Netherlands)

^c DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^d UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

COHORT STUDIES; CONTROL GROUPS; CROSS VALIDATION; DATA SETS; LARGE POPULATION; MRI SCAN; PARTICLE SYSTEMS; SHAPE ANALYSIS; SHAPE INFORMATION; SHAPE MODEL; STATISTICAL MODELS; UP PERIOD;

CLASSIFIERS; FORECASTING; LEARNING SYSTEMS; MEDICAL IMAGING;

DISEASES;

EID: 77958047198     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15948-0_6     Document Type: Conference Paper

References (20)

1. Plassman, B.L., Langa, K.M., Fisher, G.G., Heeringa, S.G., Weir, D.R., Ofstedal, M.B., Burke, J.R., Hurd, M.D., Potter, G.G., Rodgers, W.L., Steffens, D.C., Willis, R.J., Wallace, R.B.: Prevalence of dementia in the united states: the aging, demographics, and memory study. Neuroepidemiology 29(1-2), 125-132 (2007)
2. Association, A.: alzheimer's disease facts and figures. Alzheimers & Dementia 5, 234-270 (May 2009)
3. Scarpini, E., Scheltens, P., Feldman, H.: Treatment of Alzheimer's disease: current status and new perspectives. Lancet Neurol. 2(9), 539-547 (2003)
4. Jack, C.R., Petersen, R.C., Xu, Y.C., O'Brien, P.C., Smith, G.E., Ivnik, R.J., Boeve, B.F., Waring, S.C., Tangalos, E.G., Kokmen, E.: Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment. Neurology 52(7), 1397-1403 (1999)
5. Scheltens, P., Fox, N., Barkhof, F., Carli, C.D.: Structuralmagnetic resonance imaging in the practicalassessment of dementia: beyondexclusion. LancetNeurol. 1(1), 13-21 (2002)
6. den Heijer, T., Geerlings, M.I., Hoebeek, F.E., Hofman, A., Koudstaal, P.J., Breteler, M.M.B.: Use of hippocampal and amygdalar volumes on magnetic resonance imaging to predict de-mentia in cognitively intact elderly people. Arch. Gen. Psychiatry 63(1), 57-62 (2006)
7. West, M.J., Coleman, P.D., Flood, D.G., Troncoso, J.C.: Differences in the pattern of hip-pocampal neuronal loss in normal ageing and alzheimer's disease. Lancet 344(8925), 769-772 (1994)
8. Simi, G., Kostovi, I., Winblad, B., Bogdanovi, N.: Volume and number of neurons of the human hippocampal formation in normal aging and alzheimer's disease. J. Comp. Neu-rol. 379(4), 482-494 (1997)
9. Csernansky, J.G., Wang, L., Joshi, S., Miller, J.P., Gado, M., Kido, D., McKeel, D., Morris, J.C., Miller, M.I.: Early dat is distinguished from aging by high-dimensional mapping of the hippocampus. dementia of the alzheimer type. Neurology 55(11), 1636-1643 (2000)
10. Scher, A.I., Xu, Y., Korf, E.S.C., White, L.R., Scheltens, P., Toga, A.W., Thompson, P.M., Hartley, S.W., Witter, M.P., Valentino, D.J., Launer, L.J.: Hippocampal shape analysis in alzheimer's disease: apopulation-based study. Neuroimage 36(1), 8-18 (2007)
11. Ferrarini, L., Frisoni, G.B., Pievani, M., Reiber, J.H.C., Ganzola, R., Milles, J.: Morphologi-cal hippocampal markers for automated detection of alzheimer's disease and mild cognitive impairment converters in magnetic resonance images. J. Alzheimers Dis. 17(3), 643-659 (2009)
12. West, M.J., Kawas, C.H., Stewart, W.F., Rudow, G.L., Troncoso, J.C.: Hippocampal neurons inpre-clinical alzheimer's disease. Neurobiol. Aging 25(9), 1205-1212 (2004)
13. Heijer, d.T., Vermeer, S., Clarke, R., Oudkerk, M., Koudstaal, P., Hofman, A., Breteler, M.: Homocysteine and brain atrophy on mri of non-demented elderly. Brain. A journal of neu-rology 126, 170-175 (2003) (Pubitemid 36068567)
14. van der Lijn, F., den Heijer, T., Breteler, M.M.B., Niessen, W.J.: Hippocampus segmentation in mr images using atlas registration, voxel classification, and graph cuts. Neuroimage 43(4), 708-720 (2008)
15. Cates, J.E., Fletcher, P.T., Styner, M.A., Shenton, M.E., Whitaker, R.T.: Shape modeling and analysis with entropy-based particle systems. In: Karssemeijer, N., Lelieveldt, B. (eds.) IPMI 2007. LNCS, vol. 4584, pp. 333-345. Springer, Heidelberg (2007)
16. Goodall, C.: Procrustes methods in the statistical analysis of shape. Journal of the Royal Statistical Society. Series B (Methodological) 53(2), 285-339 (1991)
17. Duin, R., Juszczak, P., de Ridder, D., Pacĺik, P., Pekalska, E., Tax, D.M.J.: PR-Tools (2004), http://prtools.org
18. Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines (2001) Software, available athttp://www.csie.ntu.edu.tw/~cjlin/libsvm
19. McNemar, Q.: Note on the sampling error of the difference between correlated proportions orpercentages. Psychometrika 12(2), 152-157 (1947)
20. Csernansky, J.G., Wang, L., Swank, J., Miller, J.P., Gado, M., McKeel, D., Miller, M.I., Morris, J.C.: Preclinical detection of alzheimer's disease: hippocampal shape and volume predict dementia onset in the elderly. Neuroimage 25(3), 783-792 (2005)