Combining MIP images and fuzzy set principles for vessels segmentation: Application to TOF MRA and CE-MRA

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 6255-6258

  Vermandel, M ^a,b   Betrouni, N ^a,b   Viard, R ^b   Dewalle, A S ^b   Blond, S ^c   Rousseau, J ^a,b  

^a IEEE

^b INSERM   (France)

^c LILLE UNIVERSITY HOSPITAL   (France)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; MEDICAL IMAGING;

INTRACRANIAL VESSELS; VASCULAR STRUCTURE; VESSELS SEGMENTATION;

IMAGE ACQUISITION;

EID: 57649228968     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353785     Document Type: Conference Paper

References (5)

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2. Vial S, Gibon D, Vasseur C, Rousseau J. Volume delineation by fusion of fuzzy sets obtained from multiplanar tomographic images. IEEE Trans Med Imaging, vol. 20 2001 ; pp. 1362-1372.
3. Vermandel M, et al., From MIP image to MRA segmentation using fuzzy set theory, Comput Med Imaging Graphics 2007, vol. 31 pp 128-140.
4. Bourel P, Gibon D, Coste E, Daanen V, Rousseau J. Automatic quality assessment protocol for MRI equipment. Medical Physics, vol. 26, 1999, pp. 2693-2700.
5. Yushkevich PA, Piven J, Cody H., Ho S, Gee JC, Gerig G. UserGuided Level Set Segmentation of Anatomical Structures with ITKSNAP. Insight Journal Special Issue on ISC/NA-MIC/MICCAI Workshop on Open-Source Software 2005.