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Volumn 6144 II, Issue , 2006, Pages

Computerized method for automated measurement of thickness of cerebral cortex for 3-D MR images

Author keywords

Measurement of cerebral cortical thickness; MRI; Segmentation of brain; White matter, and gray matter

Indexed keywords

AUTOMATION; COMPUTATIONAL METHODS; DISEASES; MAGNETIC RESONANCE IMAGING; OPTICAL RESOLVING POWER; SEPARATION; SURFACE PROPERTIES;

EID: 33745181206     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.652832     Document Type: Conference Paper
Times cited : (3)

References (14)
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    • (1999) IEEE Transactions on Medical Imaging , vol.18 , Issue.10 , pp. 100-101
    • Zeng, X.1    Staib, L.H.2    Schultz, R.T.3    Duncan, A.J.S.4
  • 2
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    • Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI
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    • MacDonald, D.1    Kabani, N.2    Avis, D.3    Evans, A.C.4
  • 3
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    • Measuring the thickness of the human cerebral cortex from magnetic resonance images
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    • (2000) PNAS , vol.97 , pp. 11050-11055
    • Fischl, B.1    Dale, A.M.2
  • 4
    • 0033866573 scopus 로고    scopus 로고
    • Three-dimensional mapping of cortical thickness using Laplace's equation
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    • (2000) Human Brain Mapping , vol.11 , pp. 12-32
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  • 9
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    • Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using Laplacian map and partial volume effect classification
    • J. S. Kim, V. Singh, J.K. Lee, J. Lerch, Y. Ad-Dab'bagh, D. MacDonald, J.M. Lee, S.I. Kim, and A.C. Evans. Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using Laplacian map and partial volume effect classification. NeuroImage 2005; 27:210-221.
    • (2005) NeuroImage , vol.27 , pp. 210-221
    • Kim, J.S.1    Singh, V.2    Lee, J.K.3    Lerch, J.4    Ad-Dab'bagh, Y.5    MacDonald, D.6    Lee, J.M.7    Kim, S.I.8    Evans, A.C.9
  • 10
    • 0018306059 scopus 로고
    • A threshold selection method from gray level histograms
    • N. Otsu. A threshold selection method from gray level histograms. IEEE Trans Syst. Man & Cybern 1979; SMC-9: 62-66.
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    • Otsu, N.1
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    • A fast level set method for segmentation of low contrast noisy biomedical images
    • J. Deng and H.T. Tsui, A fast level set method for segmentation of low contrast noisy biomedical images, Pattern Recognition Letters 2002; 23:161 - 169.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.