UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at http://www.ucl.ac.uk/finance/research/post_award/post_award_contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Unconstrained Simultaneous Scheme to Fully Couple Reconstruction and Registration for Digital Breast Tomosynthesis: A Feasible Study
  • Publication Type:
    Conference
  • Authors:
    Yang G, Hipwell JH, Hawkes DJ, Arridge SR
  • Publisher:
    Department of Computer Science (DIKU), University of Copenhagen
  • Publication date:
    09/2011
  • Place of publication:
    Copenhagen, Denmark
  • Pagination:
    25, 32
  • Published proceedings:
    Proceedings of the Workshop on Breast Image Analysis: In conjunction with the 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011)
  • Editors:
    Schnabel J,Tanner C,Karssemeijer N,Nielsen M,Giger M,Hawkes C
  • ISBN-13:
    978-87-981270-9-3
  • Status:
    Published
  • Print ISSN:
    0107-8283
  • Language:
    English
  • Keywords:
    Image reconstruction, Image registration, Digital breast tomosynthesis, Limited angle tomography, Inverse problem, Fully coupled optimisation
  • Notes:
    Accepted as Oral Presentation for the Workshop on Breast Image Analysis held in Toronto, Canada, 18 September 2011
Abstract
Digital breast tomosynthesis (DBT) provides a pseudo-3D reconstruction which addresses the limitation of superimposition of dense fibro-glandular tissue associated with conventional mammography. Registration of temporal DBT volumes searches for the optimum deformation to transform two observed images of the same object into a common reference frame. This aligns the two images via minimising an objective function that calculates the similarity between the two datasets. In this paper, we present a novel algorithm which combines reconstruction of a pair of temporal DBT acquisitions with their simultaneous registration. We approach this nonlinear inverse problem using a generic unconstrained optimisation scheme. To evaluate the performance of our method we use 2D and 3D software phantoms and demonstrate that this simultaneous approach has comparable results to performing these tasks sequentially or iteratively w.r.t both the reconstruction fidelity and the registration accuracy.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Dept of Computer Science
Author
Dept of Med Phys & Biomedical Eng
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by