Yang, G;
Hipwell, JH;
Clarkson, MJ;
Tanner, C;
Mertzanidou, T;
Gunn, S;
Ourselin, S;
... Arridge, SR; + view all
(2010)
Combined Reconstruction and Registration of Digital Breast Tomosynthesis.
In: Marti, J and Oliver, A and Freixenet, J and Marti, R, (eds.)
Proceedings of the International Workshop on Digital Mammography: 10th International Workshop, IWDM 2010, Girona, Catalonia, Spain, June 16-18, 2010.
(pp. 760 - 768).
Springer: Germany: Berlin.
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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 |
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Title: | Combined Reconstruction and Registration of Digital Breast Tomosynthesis |
Event: | IWDM 2010 |
ISBN: | 3642136656 |
ISBN-13: | 978-3-642-13665-8 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-3-642-13666-5_102 |
Publisher version: | http://dx.doi.org/10.1007/978-3-642-13666-5_102 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Digital Breast Tomosynthesis, Target Registration Error, Algebraic Reconstruction Technique, Conventional Mammography, Breast Compression |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/146168 |
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