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Volumn 84, Issue 2-3, 2006, Pages 76-85

Segmentation of brain tumors in 4D MR images using the hidden Markov model

Author keywords

Brain tumor; Expectation maximization; Hidden Markov model; Software

Indexed keywords

COMPUTER SIMULATION; DISEASE CONTROL; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MARKOV PROCESSES; ONCOLOGY; PROBABILISTIC LOGICS;

EID: 33845995099     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2006.09.007     Document Type: Article
Times cited : (28)

References (16)
  • 1
    • 0035145085 scopus 로고    scopus 로고
    • Tracking tumor growth rates in patients with malignant gliomas: a test of two algorithms
    • Haney S.M., Thompson P.M., Cloughesy T.F., et al. Tracking tumor growth rates in patients with malignant gliomas: a test of two algorithms. Am J Neuroradiol 22 (2001) 73-82
    • (2001) Am J Neuroradiol , vol.22 , pp. 73-82
    • Haney, S.M.1    Thompson, P.M.2    Cloughesy, T.F.3
  • 2
    • 0034594628 scopus 로고    scopus 로고
    • New guidelines to evaluate the response to treatment in solid tumors
    • Therasse R., Arbuck S., Eisenhauer E.A., et al. New guidelines to evaluate the response to treatment in solid tumors. J. Natl. Cancer Inst. 92 (2000) 205-216
    • (2000) J. Natl. Cancer Inst. , vol.92 , pp. 205-216
    • Therasse, R.1    Arbuck, S.2    Eisenhauer, E.A.3
  • 3
    • 0019365237 scopus 로고
    • Reporting results of cancer treatment
    • Miller A.B., Hoogstraten B., Staquet M., et al. Reporting results of cancer treatment. Cancer 47 (1981) 207-214
    • (1981) Cancer , vol.47 , pp. 207-214
    • Miller, A.B.1    Hoogstraten, B.2    Staquet, M.3
  • 4
    • 0035863501 scopus 로고    scopus 로고
    • Comparison of diameter and perimeter methods for tumor volume calculation
    • Sorensen G., Patel S., Harmath C., et al. Comparison of diameter and perimeter methods for tumor volume calculation. J. Clin. Oncol. 19 2 (2001) 551-557
    • (2001) J. Clin. Oncol. , vol.19 , Issue.2 , pp. 551-557
    • Sorensen, G.1    Patel, S.2    Harmath, C.3
  • 6
    • 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., and Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans. Med. Imag. 20 1 (2001) 45-57
    • (2001) IEEE Trans. Med. Imag. , vol.20 , Issue.1 , pp. 45-57
    • Zhang, Y.1    Brady, M.2    Smith, S.3
  • 7
    • 0036624489 scopus 로고    scopus 로고
    • Automatic detection and segmentation of evolving processes in 3D medical images: applications to multiple sclerosis
    • Rey D., Subsol G., Delingette H., et al. Automatic detection and segmentation of evolving processes in 3D medical images: applications to multiple sclerosis. Med. Image Anal. 6 (2002) 163-179
    • (2002) Med. Image Anal. , vol.6 , pp. 163-179
    • Rey, D.1    Subsol, G.2    Delingette, H.3
  • 8
    • 0034152710 scopus 로고    scopus 로고
    • Exploring the discrimination power of the time domain for segmentation and characterization of active lesion in serial MR data
    • Gerig G., Welti D., Guttmann C., et al. Exploring the discrimination power of the time domain for segmentation and characterization of active lesion in serial MR data. Med. Image Anal. 4 (2000) 31-42
    • (2000) Med. Image Anal. , vol.4 , pp. 31-42
    • Gerig, G.1    Welti, D.2    Guttmann, C.3
  • 9
    • 84937433232 scopus 로고    scopus 로고
    • Spatio-temporal segmentation of active multiple sclerosis lesions in serial MRI data
    • Welti D., Gerig G., Radu E.W., et al. Spatio-temporal segmentation of active multiple sclerosis lesions in serial MRI data. IPMI, LNCS 2082 (2001) 438-445
    • (2001) IPMI, LNCS , vol.2082 , pp. 438-445
    • Welti, D.1    Gerig, G.2    Radu, E.W.3
  • 10
    • 0007451598 scopus 로고    scopus 로고
    • Bayesian segmentation of multislice brain magnetic resonance imaging using three-dimensional Gibbsian priors
    • Chang M.M., Sezan M.I., Tekalp A.M., et al. Bayesian segmentation of multislice brain magnetic resonance imaging using three-dimensional Gibbsian priors. Opt. Eng. 35 11 (1996) 3206-3221
    • (1996) Opt. Eng. , vol.35 , Issue.11 , pp. 3206-3221
    • Chang, M.M.1    Sezan, M.I.2    Tekalp, A.M.3
  • 11
    • 0347252327 scopus 로고    scopus 로고
    • Automatic brain tumor segmentation by subject specific modification of atlas priors
    • Prastawa M., Bullitt E., Moon N., et al. Automatic brain tumor segmentation by subject specific modification of atlas priors. Acad. Radiol. 10 (2003) 1341-1348
    • (2003) Acad. Radiol. , vol.10 , pp. 1341-1348
    • Prastawa, M.1    Bullitt, E.2    Moon, N.3
  • 14
    • 0035384136 scopus 로고    scopus 로고
    • A global optimisation method for robust affine registration of brain images
    • Jenkinson M., and Smith S. A global optimisation method for robust affine registration of brain images. Med. Image Anal. 5 2 (2001) 143-156
    • (2001) Med. Image Anal. , vol.5 , Issue.2 , pp. 143-156
    • Jenkinson, M.1    Smith, S.2
  • 16
    • 0034851632 scopus 로고    scopus 로고
    • Magnetic resonance image tissue classification using a partial volume model
    • Shattuck D.W., Sandor-Leahy S.R., Schaper K.A., et al. Magnetic resonance image tissue classification using a partial volume model. Neuroimage 13 (2001) 856-876
    • (2001) Neuroimage , vol.13 , pp. 856-876
    • Shattuck, D.W.1    Sandor-Leahy, S.R.2    Schaper, K.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.