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Volumn 1268, Issue C, 2004, Pages 195-200

Statistical cerebrovascular segmentation in three-dimensional rotational angiography based on maximum intensity projections

Author keywords

3D rotational angiography (3D RA); Expectation maximization (EM) algorithm; Finite mixture model (FMM); Image segmentation; Maximum intensity projection (MIP)

Indexed keywords


EID: 33646670882     PISSN: 05315131     EISSN: None     Source Type: Book Series    
DOI: 10.1016/j.ics.2004.03.269     Document Type: Article
Times cited : (5)

References (6)
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    • (1998) Medicamundi , vol.42 , pp. 8-14
    • Moret, J1
  • 2
    • 85120184760 scopus 로고    scopus 로고
    • Vascular segmentation in three-dimensional rotational angiography based on maximum intensity projections
    • R Gan Vascular segmentation in three-dimensional rotational angiography based on maximum intensity projections ISBI 2004 (to appear)
    • (2004)
    • Gan, R1
  • 3
    • 85120237432 scopus 로고    scopus 로고
    • S.C Horii Y Kim Handbook of Medical Imaging, Volume 3: Display and PACS vol. 3 2000 (October) SPIE-The International Society for Optical Engineering
    • (2000)
    • Horii, S.C1    Kim, Y2
  • 4
    • 0003487601 scopus 로고
    • Neural Networks for Pattern Recognition
    • C Bishop Neural Networks for Pattern Recognition 1995 Clarendon Press Oxford
    • (1995)
    • Bishop, C1
  • 5
    • 84956864135 scopus 로고    scopus 로고
    • Segmentation of cerebral vessels and aneurysms from MR angiography data
    • D Wilson J Noble Segmentation of cerebral vessels and aneurysms from MR angiography data IPMI 1997 423 428
    • (1997) , pp. 423-428
    • Wilson, D1    Noble, J2
  • 6
    • 0028724624 scopus 로고
    • Morphometric analysis of white matter lesions in MR images: method and validation
    • A.P Zijdenbos Morphometric analysis of white matter lesions in MR images: method and validation TMI 13 4 1994 716 724
    • (1994) TMI , vol.13 , Issue.4 , pp. 716-724
    • Zijdenbos, A.P1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.