Combined Reconstruction and Registration of Digital Breast Tomosynthesis

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Title: Combined Reconstruction and Registration of Digital Breast Tomosynthesis
Authors: Yang, G
Hipwell, J
Clarkson, M
Tanner, C
Mertzanidou, T
Gunn, S
Ourselin, S
Hawkes, D
Arridge, S
Item Type: Conference Paper
Abstract: Digital breast tomosynthesis (DBT) has the potential to en- hance breast cancer detection by reducing the confounding e ect of su- perimposed tissue associated with conventional mammography. In addi- tion 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 ma- lignancy. In this paper we address the problem of comparing DBT data by combining reconstruction of a pair of temporal volumes with their reg- istration. Using a simple test object, and DBT simulations from in vivo breast compressions imaged using MRI, we demonstrate that this com- bined reconstruction and registration approach produces improvements in both the reconstructed volumes and the estimated transformation pa- rameters when compared to performing the tasks sequentially.
Issue Date: 1-Sep-2010
Date of Acceptance: 1-Jan-2010
ISBN: 978-3-642-13665-8
ISSN: 0302-9743
Publisher: Lecture Notes in Computer Science, Springer
Start Page: 760
End Page: 768
Journal / Book Title: Lecture Notes in Computer Science
Copyright Statement: © Springer-Verlag Berlin Heidelberg 2010. The final publication is available at Springer via
Conference Name: 10th International Workshop on Digital Mammography (IWDM)
Keywords: Artificial Intelligence & Image Processing
08 Information And Computing Sciences
Start Date: 2010-06-16
Finish Date: 2010-06-18
Open Access location:
Appears in Collections:National Heart and Lung Institute

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