UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Combined Reconstruction and Registration of Digital Breast Tomosynthesis: Sequential Method versus Iterative Method

Yang, G; Hipwell, JH; Clarkson, MJ; Tanner, C; Mertzanidou, T; Gunn, S; Ourselin, S; (2010) Combined Reconstruction and Registration of Digital Breast Tomosynthesis: Sequential Method versus Iterative Method. In: Bhalerao, AH and Rajpoot, NM, (eds.) Proceedings of Medical Image Understanding and Analysis 2010. (pp. P27-1-P27-5). Department of Computer Science, University of Warwick: Warwick, UK. Green open access

[img]
Preview
PDF
113965_MIUA_2010_Combined%20Reconstruction%20and%20Registration%20of%20Digital%20Breast%20Tomosynthesis_Sequential%20Method%20versus%20Iterative%20Method.pdf
Available under License : See the attached licence file.

Download (1MB)

Abstract

Digital breast tomosynthesis (DBT) has the potential to enhance breast cancer detection by reducing the confounding effect of superimposed tissue associated with conventional mammography. In addition the increased volumetric information should enable temporal datasets to be more accurately compared, a task that radiologists routinely apply to conventional mammograms to detect the changes associated with malignancy. In this paper we address the problem of comparing DBT data by combining reconstruction of a pair of temporal volumes with their registration. Using a simple test object, and DBT simulations from in vivo breast compressions imaged using MRI, we demonstrate that this combined reconstruction and registration approach produces improvements in both the reconstructed volumes and the estimated transformation parameters when compared to performing the tasks sequentially.

Type: Proceedings paper
Title: Combined Reconstruction and Registration of Digital Breast Tomosynthesis: Sequential Method versus Iterative Method
ISBN-13: 9780956615008
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www2.warwick.ac.uk/fac/sci/dcs/events/past/...
Language: English
Additional information: © British Machine Vision Association July 2010. Accepted as Poster Presentation 14th Conference on Medical Image Understanding and Analysis held at Warwick University 06 - 07 Jul 2010. Full text of proceedings paper made available here with kind permission from Editor.
Keywords: Image reconstruction, Image registration, Digital breast tomosynthesis, Limited angle tomography, Inverse problem, Iterative optimisation
UCL classification: UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
UCL > School of BEAMS > Faculty of Engineering Science > Medical Physics and Bioengineering
URI: http://discovery.ucl.ac.uk/id/eprint/113965
Downloads since deposit
31Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item