Citation

BibTex format

@inproceedings{Yang:2012,
author = {Yang, G and Hipwell, J and Hawkes, D and Arridge, S},
pages = {87--92},
publisher = {British Machine Vision Association},
title = {A nonlinear least squares method for solving the joint reconstruction and registration problem in digital breast tomosynthesis},
year = {2012}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Digital Breast Tomosynthesis (DBT) offers potential insight into the fine details ofnormal fibroglandular tissues and abnormal lesions, e.g., masses and micro-calcificationsassociated with breast cancer, by the production of a pseudo-3D image. In addition, itavoids the superposition, which is usually found in X-ray mammography, with a compa-rable radiation dose. Algorithms to aid the human observer process DBT data sets involvetwo key tasks: reconstruction and registration. In established medical image modalitiesthese tasks are normally performed sequentially; the images are reconstructed and thenregistered. In this paper, we hypothesise that, for DBT in particular, combining the op-timisation processes of reconstruction and registration into a single algorithm will offersatisfactory for both tasks. Based on this hypothesis, we have devised a mathematicalframework to combine these two tasks, and have implemented both affine and non-linearB-spline registration transformation models as plug-ins. By applying our algorithm tovarious simulated data, we demonstrate the success of our method in terms of both re-construction fidelity and in the registration accuracy of the recovered transformations.
AU - Yang,G
AU - Hipwell,J
AU - Hawkes,D
AU - Arridge,S
EP - 92
PB - British Machine Vision Association
PY - 2012///
SP - 87
TI - A nonlinear least squares method for solving the joint reconstruction and registration problem in digital breast tomosynthesis
ER -

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