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
Towards spatial correspondence between specimen and in-vivo breast imaging
  • Publication Type:
    Conference
  • Authors:
    Mertzanidou T, Hipwell J, Dalmis M, Platel B, Van Der Laak J, Mann R, Karssemeijer N, Bult P, Hawkes D
  • Publication date:
    01/01/2014
  • Pagination:
    674, 680
  • Published proceedings:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    8539 LNCS
  • ISBN-13:
    9783319078861
  • Status:
    Published
  • Print ISSN:
    0302-9743
Abstract
Radiological in-vivo imaging, such as X-ray mammography and Magnetic Resonance Imaging (MRI), is used for tumour detection, diagnosis and size determination. After tumour excision, histopathological imaging of the stained specimen is used as the gold standard for characterisation of the tumour and surrounding tissue. Relating the information available at the micro and macroscopic scales could lead to a better understanding of the in-vivo radiological imaging. This in turn has potential to improve therapeutic decision making and, ultimately, patient prognosis and treatment outcomes. Accurate alignment of data, necessary to maximise information retrieval from the different scales, can be problematic however, due to the large deformation that the breast tissue undergoes after surgery. In this work we present a methodology to reconstruct a 3D volume from multiple X-ray breast specimen images. The reconstructed volume can be used to bridge the gap between histopathological and in-vivo radiological images. We demonstrate the use of this algorithm on four mastectomy samples. For one of these cases, a specimen MRI was also available and was used to provide an assessment of the performance of the reconstruction technique. © 2014 Springer International Publishing.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Dept of Med Phys & Biomedical Eng
Author
Dept of Computer Science
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by