• DocumentCode
    3362559
  • Title

    Elastic modulus imaging using optical flow and image registration

  • Author

    Martí, Robert ; Noble, Alison

  • Author_Institution
    Comput. Vision & Robot. Group, Univ. of Girona, Girona, Spain
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    605
  • Lastpage
    608
  • Abstract
    Elastography, the imaging technique for estimating the elastic tissue properties, or more specifically elastic modulus imaging, are becoming important diagnosis tools in computer aided diagnosis system, specially focusing on ultrasound and MRI images. This technique still presents unsolved challenges in the analysis of deformations in sequences of images. The aim of this paper is twofold: to evaluate the applicability of the deformation field obtained by state of the art optical flow and image registration algorithms for elastic modulus imaging and to quantitatively evaluate two different methods for estimation of the elastic modulus distribution. Results show that optical-flow methods provide a slightly better reconstruction and that the reconstruction has been shown to be more accurate using the method proposed by Sumi et al.
  • Keywords
    biological tissues; biomedical MRI; biomedical ultrasonics; elastic moduli; image reconstruction; image registration; image sequences; medical image processing; MRI image; computer aided diagnosis system; diagnosis tool; elastic modulus distribution; elastic modulus imaging; elastic tissue property; elastography; image deformation; image reconstruction; image registration; image sequence; imaging technique; optical flow; ultrasound image; Image reconstruction; Image registration; Lesions; Optical imaging; Strain; Young´s modulus; Elastography; algorithm evaluation; image registration; modulus imaging; optical flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5653277
  • Filename
    5653277