Yang, G;
Hipwell, JH;
Tanner, C;
Hawkes, DJ;
Arridge, SR;
(2012)
Joint Registration and Limited-Angle Reconstruction of Digital Breast Tomosynthesis.
In: Maidment, ADA and Bakic, PR and Gavenonis, S, (eds.)
Breast Imaging: 11th International Workshop, IWDM 2012, Philadelphia, PA, USA, July 8-11, 2012: Proceedings.
(pp. 713 - 720).
Springer-Verlag: Berlin / Heidelberg, Germany.
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Abstract
Digital breast tomosynthesis (DBT), an emerging imaging modality, provides a pseudo-3D image of the breast. Algorithms to aid the human observer process these large datasets involve two key tasks: reconstruction and registration. Previous studies separated these steps, solving each task independently. This can be effective if reconstructing using a complete set of data, e.g., in cone beam CT, assuming that only simple deformations exist. However, for ill-posed limited-angle problems such as DBT, estimating the deformation is complicated by the significant artefacts associated with DBT reconstructions, leading to severe inaccuracies in the registration. In this paper, we present an innovative algorithm, which combines reconstruction of a pair of temporal DBT acquisitions with their simultaneous registration. Using various computational phantoms and in vivo DBT simulations, we show that, compared to the conventional sequential method, jointly estimating image intensities and transformation parameters gives superior results with respect to reconstruction fidelity and registration accuracy.
Type: | Proceedings paper |
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Title: | Joint Registration and Limited-Angle Reconstruction of Digital Breast Tomosynthesis |
ISBN-13: | 9783642312700 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-3-642-31271-7_92 |
Publisher version: | http://dx.doi.org/10.1007/978-3-642-31271-7_92 |
Language: | English |
Additional information: | The original publication is available at www.springerlink.com |
Keywords: | Image reconstruction, Image registration, Digital breast tomosynthesis, Limited angle tomography, Inverse problem, Fully coupled optimisation, Decoupled approach |
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/1356451 |
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