Computerized Medical Imaging and Graphics
Volume 34, Issue 3 , Pages 236-249 , April 2010

Three-dimensional coupled-object segmentation using symmetry and tissue type information

  • Payam B. Bijari

      Affiliations

    • Control and Intelligent Processing Center of Excellence, Electrical and Computer Engineering Department, University of Tehran, Tehran, Iran
    • School of Cognitive Sciences, Institute for Studies in Theoretical Physics and Mathematics (IPM), Tehran, Iran
  • ,
  • Alireza Akhondi-Asl

      Affiliations

    • Control and Intelligent Processing Center of Excellence, Electrical and Computer Engineering Department, University of Tehran, Tehran, Iran
    • School of Cognitive Sciences, Institute for Studies in Theoretical Physics and Mathematics (IPM), Tehran, Iran
  • ,
  • Hamid Soltanian-Zadeh

      Affiliations

    • Control and Intelligent Processing Center of Excellence, Electrical and Computer Engineering Department, University of Tehran, Tehran, Iran
    • School of Cognitive Sciences, Institute for Studies in Theoretical Physics and Mathematics (IPM), Tehran, Iran
    • Image Analysis Laboratory, Radiology Department, Henry Ford Hospital, Detroit, MI, USA
    • Corresponding Author InformationCorresponding author at: Image Analysis Laboratory, Radiology Department, Henry Ford Hospital, One Ford Place, 2F, Detroit, MI 48202, USA. Tel.: +1 313 874 4482.

Received 13 October 2008 ,Revised 3 September 2009 ,Accepted 19 October 2009.

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.

PII: S0895-6111(09)00130-X

doi: 10.1016/j.compmedimag.2009.10.002

Computerized Medical Imaging and Graphics
Volume 34, Issue 3 , Pages 236-249 , April 2010