Yang, G; Hipwell, JH; Clarkson, MJ; Tanner, C; Mertzanidou, T; Gunn, S; ... Arridge, SR; + view all Yang, G; Hipwell, JH; Clarkson, MJ; Tanner, C; Mertzanidou, T; Gunn, S; Ourselin, S; Hawkes, DJ; Arridge, SR; - view fewer (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.
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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.
|Title:||Combined Reconstruction and Registration of Digital Breast Tomosynthesis: Sequential Method versus Iterative Method|
|Open access status:||An open access version is available from UCL Discovery|
|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
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