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Volumn 25, Issue 2, 2007, Pages 259-264

A novel, fast entropy-minimization algorithm for bias field correction in MR images

Author keywords

Conjugate gradient method; Entropy minimization; Inhomogeneity correction; Magnetic resonance image; Parzen window

Indexed keywords

ALGORITHM; ARTICLE; DENSITY FUNCTIONAL THEORY; ENTROPY; FAST ENTROPY MINIMIZATION ALGORITHM; HISTOGRAM; IMAGE INTENSIFIER; IMAGE QUALITY; IMAGE RECONSTRUCTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL;

EID: 33846490209     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2006.09.012     Document Type: Article
Times cited : (17)

References (14)
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    • Pham, D.L.1    Prince, J.L.2
  • 4
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    • Application of fuzzy C-means segmentation technique for tissue differentiation in MR images of a hemorrhagic glioblastoma multiforme
    • Phillips W.E.I.I., Velthuizen R.P., Phuphanich S., Hall L.O., Clarke L.P., and Silbiger M.L. Application of fuzzy C-means segmentation technique for tissue differentiation in MR images of a hemorrhagic glioblastoma multiforme. Magn Reson Imaging 13 (1995) 277-290
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    • Phillips, W.E.I.I.1    Velthuizen, R.P.2    Phuphanich, S.3    Hall, L.O.4    Clarke, L.P.5    Silbiger, M.L.6
  • 5
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  • 9
    • 0035544623 scopus 로고    scopus 로고
    • Retrospective correction of MR intensity inhomogeneity by information minimization
    • Likar B., Viergever M.A., and Pernus F. Retrospective correction of MR intensity inhomogeneity by information minimization. IEEE Trans Med Imaging 20 (2001) 1398-1410
    • (2001) IEEE Trans Med Imaging , vol.20 , pp. 1398-1410
    • Likar, B.1    Viergever, M.A.2    Pernus, F.3
  • 10
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    • On estimation of a probability density function and mode
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    • Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks
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  • 14
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    • Improving the segmentation of therapy-induced leukoencephalopathy in children with acute lymphoblastic leukemia using a priori information and a gradient magnitude threshold
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.