• DocumentCode
    3047222
  • Title

    Automatic localization of AC and PC landmarks in T2-weighted MR volumetric neuroimages

  • Author

    Zhang, Guangcai ; Fu, Yili ; Wang, Shuguo ; Gao, Wenpeng

  • Author_Institution
    State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin, China
  • fYear
    2010
  • fDate
    20-23 June 2010
  • Firstpage
    1830
  • Lastpage
    1834
  • Abstract
    A novel method is presented for automatic identification of the anterior commissure (AC) and posterior commissure (PC) in T2-weighted MR volumetric images (MRI). AC and PC are two critical landmarks of human brain. It is important to accurately identify them for brain segmentation, registration, functional neurosurgery, human brain mapping, and particularly for the Talairach transformation. The algorithm of identifying them consists of four steps: (1) Identify the corpus callosum and select the region of interest; (2) Identify the fornix and locate the initial AC; (3) Segment part of the third ventricle and locate the initial PC; (4) Refine the positions of AC and PC. The algorithm has been validated quantitatively with 20 T2-weighted MRI data sets. The mean errors of the localization of them were 1.50 mm (AC) and 1.60 mm (PC). It took about 15 seconds for identifying them on P4 3.0 GHz. This fully automatic algorithm is potentially useful in clinic and for research.
  • Keywords
    biomedical MRI; brain; research and development; AC landmarks; MRI; PC landmarks; T2-weighted MR volumetric neuroimages; Talairach transformation; anterior commissure; automatic localization; brain registration; brain segmentation; corpus callosum; fornix; functional neurosurgery; human brain mapping; posterior commissure; size 1.5 mm; size 1.6 mm; Anatomy; Brain mapping; Humans; Image analysis; Image segmentation; Laboratories; Magnetic resonance imaging; Neurosurgery; Robotics and automation; Shape; Anterior commissure; Corpus callosum; Fornix; Midsagittal plane; Posterior commissure; Third ventricl;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2010 IEEE International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-5701-4
  • Type

    conf

  • DOI
    10.1109/ICINFA.2010.5512224
  • Filename
    5512224