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Volumn 1281, Issue , 2005, Pages 375-380

Automatic extraction of cerebral arteries from magnetic resonance angiography data: Algorithm and validation

Author keywords

Artery; Extraction; MRA; Segmentation; Vasculature

Indexed keywords


EID: 33646456077     PISSN: 05315131     EISSN: None     Source Type: Book Series    
DOI: 10.1016/j.ics.2005.03.276     Document Type: Article
Times cited : (2)

References (17)
  • 1
    • 0008830415 scopus 로고    scopus 로고
    • Overview and fundamentals of medical image segmentation
    • Bankman I. (Ed), Academic Press
    • Rogowska J. Overview and fundamentals of medical image segmentation. In: Bankman I. (Ed). Handbook of Medical Imaging Processing and Analysis Management (2000 (October)), Academic Press 69-85
    • (2000) Handbook of Medical Imaging Processing and Analysis Management , pp. 69-85
    • Rogowska, J.1
  • 3
    • 13244275353 scopus 로고    scopus 로고
    • Three-dimensional brain atlas of anatomy and vasculature
    • Nowinski W.L., et al. Three-dimensional brain atlas of anatomy and vasculature. Radiographics 25 1 (2005 (Jan.)) 263-271
    • (2005) Radiographics , vol.25 , Issue.1 , pp. 263-271
    • Nowinski, W.L.1
  • 4
    • 0033201370 scopus 로고    scopus 로고
    • D.L. Wilson, J.A. Noble, An adaptive segmentation algorithm for time-of-flight MRA data, IEEE Transactions on Medical Imaging, 18 (10), 938-945.
  • 5
    • 0035384138 scopus 로고    scopus 로고
    • Symbolic description of intracerebral vessels segmented from MRA and evaluation by comparison with X-ray angiograms
    • Bullitt E., et al. Symbolic description of intracerebral vessels segmented from MRA and evaluation by comparison with X-ray angiograms. Medical Image Analysis 5 (2001) 157-169
    • (2001) Medical Image Analysis , vol.5 , pp. 157-169
    • Bullitt, E.1
  • 6
    • 0035469971 scopus 로고    scopus 로고
    • Acquisition, segmentation and tracking of the cerebral vascular tree on 3D magnetic resonance angiography images
    • Flasque N., et al. Acquisition, segmentation and tracking of the cerebral vascular tree on 3D magnetic resonance angiography images. Medical Image Analysis 5 3 (2001 (September)) 173-183
    • (2001) Medical Image Analysis , vol.5 , Issue.3 , pp. 173-183
    • Flasque, N.1
  • 7
    • 0034141034 scopus 로고    scopus 로고
    • Scale-based fuzzy connected image segmentation: theory, algorithms, and validation
    • Saha P.K., Udupa J.K., and Odhner D. Scale-based fuzzy connected image segmentation: theory, algorithms, and validation. Computer Vision and Image Understanding 77 2 (2000) 145-174
    • (2000) Computer Vision and Image Understanding , vol.77 , Issue.2 , pp. 145-174
    • Saha, P.K.1    Udupa, J.K.2    Odhner, D.3
  • 8
    • 0034440977 scopus 로고    scopus 로고
    • Y. Tuduki, et al., Automated seeded region growing algorithm for extraction of cerebral blood vessels from magnetic resonance angiographic data, Annual-Proceedings of International Conference of the IEEE Engineering in Medicine and Biology, 3, 1756-1759.
  • 9
    • 0035397820 scopus 로고    scopus 로고
    • Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation
    • Zana F., and Klein J.-C. Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation. IEEE Transactions on Image Processing 10 7 (2001)
    • (2001) IEEE Transactions on Image Processing , vol.10 , Issue.7
    • Zana, F.1    Klein, J.-C.2
  • 10
    • 0032081365 scopus 로고    scopus 로고
    • Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images
    • Sato Y., et al. Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. Medical Image Analysis 2 2 (1998) 143-168
    • (1998) Medical Image Analysis , vol.2 , Issue.2 , pp. 143-168
    • Sato, Y.1
  • 11
    • 0035283254 scopus 로고    scopus 로고
    • S. Kobashi, et al., Volume-quantization-based neural network approach to 3D MR angiography image segmentation, Image and Vision Computing, 19 (4), 185-193.
  • 12
    • 1642503005 scopus 로고    scopus 로고
    • 3D volume segmentation of MRA data sets using level sets
    • Farag A.A., et al. 3D volume segmentation of MRA data sets using level sets. Academic Radiology 11 4 (2004 (September)) 419-435
    • (2004) Academic Radiology , vol.11 , Issue.4 , pp. 419-435
    • Farag, A.A.1
  • 13
    • 33646440166 scopus 로고    scopus 로고
    • L.M. Lorigo, et al., Co-dimension 2 geodesic active contours for MRA segmentation, Information Processing in Medical Imaging. 16th Int. Conference, IPMI'99. (Lecture Notes in Computer Science, vol. 1613), pp. 126-139.
  • 14
    • 2442496964 scopus 로고    scopus 로고
    • Y. Jin, H.M. Ladak, Software for interactive segmentation of the carotid artery from 3D black blood magnetic resonance images. Computer Methods and Programs in Biomedicine, 75 (1), 31-43.
  • 15
    • 0347720942 scopus 로고    scopus 로고
    • A locally adaptive region growing algorithm for vascular segmentation
    • Yi J., and Ra J.B. A locally adaptive region growing algorithm for vascular segmentation. International Journal of Imaging Systems and Technology 13 4 (2003) 208-214
    • (2003) International Journal of Imaging Systems and Technology , vol.13 , Issue.4 , pp. 208-214
    • Yi, J.1    Ra, J.B.2
  • 16
    • 0033366510 scopus 로고    scopus 로고
    • Segmentation of medical images using explicit anatomical knowledge
    • New Approaches in Medical Image Analysis. Pham B., Braun M., Maeder A.J., and Eckert M.P. (Eds)
    • Wilson L.S., et al. Segmentation of medical images using explicit anatomical knowledge. In: Pham B., Braun M., Maeder A.J., and Eckert M.P. (Eds). New Approaches in Medical Image Analysis. Proc. of SPIE vol. 3747 (1999) 142-155
    • (1999) Proc. of SPIE , vol.3747 , pp. 142-155
    • Wilson, L.S.1
  • 17
    • 33646448007 scopus 로고    scopus 로고
    • Magnetic resonance image segmentation using 3D filtering and surface evolution
    • Luo S., and Hu Q. Magnetic resonance image segmentation using 3D filtering and surface evolution. Image and Vision Computing '04 New Zealand (2004 (Nov. 21-23)) 197-201
    • (2004) Image and Vision Computing '04 New Zealand , pp. 197-201
    • Luo, S.1    Hu, Q.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.