Yang, G; Hipwell, JH; Hawkes, DJ; Arridge, SR; (2011) Unconstrained Simultaneous Scheme to Fully Couple Reconstruction and Registration for Digital Breast Tomosynthesis: A Feasible Study. In: Schnabel, J and Tanner, C and Karssemeijer, N and Nielsen, M and Giger, M and Hawkes, C, (eds.) Proceedings of the Workshop on Breast Image Analysis: In conjunction with the 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011). (pp. 25 - 32). Department of Computer Science (DIKU), University of Copenhagen: Copenhagen, Denmark.
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Digital breast tomosynthesis (DBT) provides a pseudo-3D reconstruction which addresses the limitation of superimposition of dense fibro-glandular tissue associated with conventional mammography. Registration of temporal DBT volumes searches for the optimum deformation to transform two observed images of the same object into a common reference frame. This aligns the two images via minimising an objective function that calculates the similarity between the two datasets. In this paper, we present a novel algorithm which combines reconstruction of a pair of temporal DBT acquisitions with their simultaneous registration. We approach this nonlinear inverse problem using a generic unconstrained optimisation scheme. To evaluate the performance of our method we use 2D and 3D software phantoms and demonstrate that this simultaneous approach has comparable results to performing these tasks sequentially or iteratively w.r.t both the reconstruction fidelity and the registration accuracy.
|Title:||Unconstrained Simultaneous Scheme to Fully Couple Reconstruction and Registration for Digital Breast Tomosynthesis: A Feasible Study|
|Open access status:||An open access version is available from UCL Discovery|
|Additional information:||Accepted as Oral Presentation for the Workshop on Breast Image Analysis held in Toronto, Canada, 18 September 2011. Made available by kind permission of Editor.|
|Keywords:||Image reconstruction, Image registration, Digital breast tomosynthesis, Limited angle tomography, Inverse problem, Fully coupled 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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