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Volumn , Issue , 2007, Pages 596-599

Lesion detection in noisy MR brain images using constrained GMM and active contours

Author keywords

MRI; MS lesions; Statistical modeling

Indexed keywords

ACTIVE CONTOUR ALGORITHMS; BRAIN IMAGES; BRAIN MR SIMULATION DATA; LESION BOUNDARIES;

EID: 36349008677     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2007.356922     Document Type: Conference Paper
Times cited : (32)

References (8)
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  • 3
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    • Collins, D.1
  • 4
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    • Constrained guassian mixture model framework for automatic segmentation of MR brain images
    • H. Greenspan, A. Ruf, and J. Goldberger. Constrained guassian mixture model framework for automatic segmentation of MR brain images. IEEE Trans. Med. Imaging, 25(9):1233-45, 2006.
    • (2006) IEEE Trans. Med. Imaging , vol.25 , Issue.9 , pp. 1233-1245
    • Greenspan, H.1    Ruf, A.2    Goldberger, J.3
  • 6
    • 0035413307 scopus 로고    scopus 로고
    • Automated segmentation of multiple sclerosis lesions by model outlier detection
    • K. Van Leemput et al. Automated segmentation of multiple sclerosis lesions by model outlier detection. IEEE Trans. Med. Imaging, 20(8):677-88, 2001.
    • (2001) IEEE Trans. Med. Imaging , vol.20 , Issue.8 , pp. 677-688
    • Van Leemput, K.1
  • 7
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    • Quantitative analysis of MRI signal abnormalities of brain white matter with high reproducibility and accuracy
    • X. Wei et al. Quantitative analysis of MRI signal abnormalities of brain white matter with high reproducibility and accuracy. JMRI, 15:203-9, 2002.
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    • Wei, X.1
  • 8
    • 0036826508 scopus 로고    scopus 로고
    • Automatic pipeline analysis of 3d MRI data for clinical trials: Application to MS
    • A. Zijdenbos, R. Forghani, and A. Evans. Automatic pipeline analysis of 3d MRI data for clinical trials: application to MS. IEEE Trans. Med. Imaging, 21(10):1280-91, 2002.
    • (2002) IEEE Trans. Med. Imaging , vol.21 , Issue.10 , pp. 1280-1291
    • Zijdenbos, A.1    Forghani, R.2    Evans, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.