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Volumn 65, Issue , 2013, Pages 97-108

AdaPT: An adaptive preterm segmentation algorithm for neonatal brain MRI

Author keywords

Expectation maximisation; Manual segmentation; Prior relaxation; Registration; Ventriculomegaly

Indexed keywords

ALGORITHM; ARTICLE; BRAIN DEVELOPMENT; BRAIN HEMORRHAGE; BRAIN ISCHEMIA; BRAIN REGION; BRAIN SIZE; BRAIN VENTRICLE DILATATION; CLINICAL ARTICLE; CONTROLLED STUDY; EMBRYO; EXPECTATION MAXIMIZATION SEGMENTATION ALGORITHM; FEMALE; HIDDEN MARKOV MODEL; HUMAN; INFANT; MALE; MATHEMATICAL MODEL; MAXIMUM LIKELIHOOD METHOD; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PERINATAL DEVELOPMENT; PREMATURITY; PRIORITY JOURNAL; VALIDATION PROCESS; WHITE MATTER INJURY;

EID: 84868231259     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.08.009     Document Type: Article
Times cited : (76)

References (36)
  • 8
    • 41449091346 scopus 로고    scopus 로고
    • Pathogenesis of cerebral white matter injury of prematurity
    • (Mar)
    • Khwaja O., Volpe J.J. Pathogenesis of cerebral white matter injury of prematurity. Arch. Dis. Child. Fetal Neonatal Ed. 2008, 93(2):F153-F161. (Mar). 10.1136/adc.2006.108837.
    • (2008) Arch. Dis. Child. Fetal Neonatal Ed. , vol.93 , Issue.2
    • Khwaja, O.1    Volpe, J.J.2
  • 9
    • 0033463507 scopus 로고    scopus 로고
    • Image classification using probabilistic models that reflect the internal structure of mixels
    • Kitamoto A., Takagi M. Image classification using probabilistic models that reflect the internal structure of mixels. Pattern Anal. Appl. 1999, 2.
    • (1999) Pattern Anal. Appl. , vol.2
    • Kitamoto, A.1    Takagi, M.2
  • 12
    • 61549123663 scopus 로고    scopus 로고
    • The cost of preterm birth throughout childhood in England and Wales
    • (Feb)
    • Mangham L.J., Petrou S., Doyle L.W., Draper E.S., Marlow N. The cost of preterm birth throughout childhood in England and Wales. Pediatrics 2009, 123(2):e312-e327. (Feb). 10.1542/peds.2008-1827.
    • (2009) Pediatrics , vol.123 , Issue.2
    • Mangham, L.J.1    Petrou, S.2    Doyle, L.W.3    Draper, E.S.4    Marlow, N.5
  • 13
    • 11344260667 scopus 로고    scopus 로고
    • Neurologic and developmental disability at six years of age after extremely preterm birth
    • Marlow N., Wolke D., Bracewell M.A., Samara M. Neurologic and developmental disability at six years of age after extremely preterm birth. N. Engl. J. Med. 2005, 352(1):9-19. (URL http://www.nejm.org/doi/abs/10.1056/NEJMoa041367).
    • (2005) N. Engl. J. Med. , vol.352 , Issue.1 , pp. 9-19
    • Marlow, N.1    Wolke, D.2    Bracewell, M.A.3    Samara, M.4
  • 14
    • 67349256764 scopus 로고    scopus 로고
    • Magnetic resonance imaging-insights into brain injury and outcomes in premature infants
    • Mathur A., Inder T. Magnetic resonance imaging-insights into brain injury and outcomes in premature infants. J. Commun. Disord. 2009, 42(4):248-255. 10.1016/j.jcomdis.2009.03.007.
    • (2009) J. Commun. Disord. , vol.42 , Issue.4 , pp. 248-255
    • Mathur, A.1    Inder, T.2
  • 15
    • 70449727040 scopus 로고    scopus 로고
    • Imaging biomarkers of outcome in the developing preterm brain
    • (Nov)
    • Ment L.R., Hirtz D., Hüppi P.S. Imaging biomarkers of outcome in the developing preterm brain. Lancet Neurol. 2009, 8(11):1042-1055. (Nov). 10.1016/S1474-4422(09)70257-1.
    • (2009) Lancet Neurol. , vol.8 , Issue.11 , pp. 1042-1055
    • Ment, L.R.1    Hirtz, D.2    Hüppi, P.S.3
  • 18
    • 0001865517 scopus 로고    scopus 로고
    • Block matching: a general framework to improve robustness of rigid registration of medical images
    • Ourselin S., Roche A., Prima S., Ayache N. Block matching: a general framework to improve robustness of rigid registration of medical images. MICCAI 2000.
    • (2000) MICCAI
    • Ourselin, S.1    Roche, A.2    Prima, S.3    Ayache, N.4
  • 19
    • 23844494015 scopus 로고    scopus 로고
    • Automatic segmentation of MR images of the developing newborn brain
    • (Oct)
    • Prastawa M., Gilmore J.H., Lin W., Gerig G. Automatic segmentation of MR images of the developing newborn brain. Med. Image Anal. 2005, 9(5):457-466. (Oct).
    • (2005) Med. Image Anal. , vol.9 , Issue.5 , pp. 457-466
    • Prastawa, M.1    Gilmore, J.H.2    Lin, W.3    Gerig, G.4
  • 20
    • 0034351117 scopus 로고    scopus 로고
    • Brain tissue classification of magnetic resonance images using partial volume modeling
    • (Dec)
    • Ruan S., Jaggi C., Fadili J., Bloyet D. Brain tissue classification of magnetic resonance images using partial volume modeling. IEEE TMI 2000, 19(12). (Dec).
    • (2000) IEEE TMI , vol.19 , Issue.12
    • Ruan, S.1    Jaggi, C.2    Fadili, J.3    Bloyet, D.4
  • 23
    • 80052332342 scopus 로고    scopus 로고
    • Segmentation of brain images using adaptive atlases with application to ventriculomegaly
    • Shiee N., Bazin P., Pham D. Segmentation of brain images using adaptive atlases with application to ventriculomegaly. Inf. Process. Med. Imaging 2011, 1-12.
    • (2011) Inf. Process. Med. Imaging , pp. 1-12
    • Shiee, N.1    Bazin, P.2    Pham, D.3
  • 24
    • 0036828879 scopus 로고    scopus 로고
    • Fast robust automated brain extraction
    • Smith S.M. Fast robust automated brain extraction. Hum. Brain Mapp. 2002, 17(3):143-155.
    • (2002) Hum. Brain Mapp. , vol.17 , Issue.3 , pp. 143-155
    • Smith, S.M.1
  • 25
    • 79551683281 scopus 로고    scopus 로고
    • Clinical neonatal brain MRI segmentation using adaptive nonparametric data models
    • Springer, Berlin / Heidelberg, N. Ayache, S. Ourselin, A. Maeder (Eds.) MICCAI
    • Song Z., Awate S., Licht D., Gee J. Clinical neonatal brain MRI segmentation using adaptive nonparametric data models. Lecture Notes in Computer Science 2007, vol. 4791:883-890. Springer, Berlin / Heidelberg. N. Ayache, S. Ourselin, A. Maeder (Eds.).
    • (2007) Lecture Notes in Computer Science , vol.4791 , pp. 883-890
    • Song, Z.1    Awate, S.2    Licht, D.3    Gee, J.4
  • 26
    • 0033201366 scopus 로고    scopus 로고
    • Automated model-based tissue classification of MR images of the brain
    • Van Leemput K., Maes F., Vandermeulen D., Suetens P. Automated model-based tissue classification of MR images of the brain. IEEE TMI 1999, 18(10).
    • (1999) IEEE TMI , vol.18 , Issue.10
    • Van Leemput, K.1    Maes, F.2    Vandermeulen, D.3    Suetens, P.4
  • 28
    • 0037255814 scopus 로고    scopus 로고
    • A unifying framework for partial volume segmentation of brain MR images
    • Van Leemput K., Maes F., Vandermeulen D., Suetens P. A unifying framework for partial volume segmentation of brain MR images. IEEE Trans. Med. Imaging 2003, 22(1):105-119.
    • (2003) IEEE Trans. Med. Imaging , vol.22 , Issue.1 , pp. 105-119
    • Van Leemput, K.1    Maes, F.2    Vandermeulen, D.3    Suetens, P.4
  • 29
    • 57149118216 scopus 로고    scopus 로고
    • Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances
    • (Jan)
    • Volpe J.J. Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances. Lancet Neurol. 2009, 8(1):110-124. (Jan). 10.1016/S1474-4422(08)70294-1.
    • (2009) Lancet Neurol. , vol.8 , Issue.1 , pp. 110-124
    • Volpe, J.J.1
  • 30
    • 67349126887 scopus 로고    scopus 로고
    • Automatic segmentation of newborn brain MRI
    • Weisenfeld N.I., Warfield S.K. Automatic segmentation of newborn brain MRI. Neuroimage 2009, 47(2):564-572. URL http://www.sciencedirect.com/science/article/B6WNP-4W6Y5JV-3/2/18e85474ff44633d08158c48bfa6e569.
    • (2009) Neuroimage , vol.47 , Issue.2 , pp. 564-572
    • Weisenfeld, N.I.1    Warfield, S.K.2
  • 32
    • 35148872689 scopus 로고    scopus 로고
    • Automatic segmentation and reconstruction of the cortex from neonatal MRI
    • Xue H., Srinivasan L., Jiang S., Rutherford M., Edwards A.D., Rueckert D., Hajnal J.V. Automatic segmentation and reconstruction of the cortex from neonatal MRI. Neuroimage 2007, 38(3):461-477. URL http://www.sciencedirect.com/science/article/B6WNP4PC8 RHP-4/2/c60cb684821b884ac7671144967a567b.
    • (2007) Neuroimage , vol.38 , Issue.3 , pp. 461-477
    • Xue, H.1    Srinivasan, L.2    Jiang, S.3    Rutherford, M.4    Edwards, A.D.5    Rueckert, D.6    Hajnal, J.V.7
  • 33
    • 78249244791 scopus 로고    scopus 로고
    • Comprehensive brain MRI segmentation in high risk preterm newborns
    • Yu X., Zhang Y., Lasky R.E., Parikh N.A., Narayana P.A. Comprehensive brain MRI segmentation in high risk preterm newborns. PLoS One 2010, 5(11).
    • (2010) PLoS One , vol.5 , Issue.11
    • Yu, X.1    Zhang, Y.2    Lasky, R.E.3    Parikh, N.A.4    Narayana, P.A.5
  • 34
    • 33744930583 scopus 로고    scopus 로고
    • User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability
    • (Jul)
    • Yushkevich P.A., Piven J., Hazlett H.C., Smith R.G., Ho S., Gee J.C., Gerig G. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 2006, 31(3):1116-1128. (Jul). 10.1016/j.neuroimage.2006.01.015.
    • (2006) Neuroimage , vol.31 , Issue.3 , pp. 1116-1128
    • Yushkevich, P.A.1    Piven, J.2    Hazlett, H.C.3    Smith, R.G.4    Ho, S.5    Gee, J.C.6    Gerig, G.7
  • 35
    • 0026938712 scopus 로고
    • The mean field theory in em procedures for Markov random fields
    • Zhang J. The mean field theory in em procedures for Markov random fields. IEEE Trans. Signal Process. 1992, 40(10):2570-2583.
    • (1992) IEEE Trans. Signal Process. , vol.40 , Issue.10 , pp. 2570-2583
    • Zhang, J.1
  • 36
    • 0034745001 scopus 로고    scopus 로고
    • Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
    • Zhang Y., Brady M., Smith S.M. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans. Med. Imaging 2001, 20(1):45-57.
    • (2001) IEEE Trans. Med. Imaging , vol.20 , Issue.1 , pp. 45-57
    • Zhang, Y.1    Brady, M.2    Smith, S.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.