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Open Access Green as soon as Postprint is submitted to ZB.
A quadratic energy minimization framework for signal loss estimation from arbitrarily sampled ultrasound data.
Lect. Notes Comput. Sc. 8674, 373-380 (2014)
We present a flexible and general framework to iteratively solve quadratic energy problems on a non uniform grid, targeted at ultrasound imaging. Therefore, we model input samples as the nodes of an irregular directed graph, and define energies according to the application by setting weights to the edges. To solve the energy, we derive an effective optimization scheme, which avoids both the explicit computation of a linear system, as well as the compounding of the input data on a regular grid. The framework is validated in the context of 3D ultrasound signal loss estimation with the goal of providing an uncertainty estimate for each 3D data sample. Qualitative and quantitative results for 5 subjects and two target regions, namely US of the bone and the carotid artery, show the benefits of our approach, yielding continuous loss estimates.
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Publication type
Article: Journal article
Document type
Scientific Article
Editors
Golland, P.* ; Hata, N.* ; Barillot, C.* ; Hornegger, J.* ; Howe, R.*
ISSN (print) / ISBN
0302-9743
e-ISSN
1611-3349
ISBN
978-3-319-10469-0
Conference Title
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
Conference Date
14-18 September 2014
Conference Location
Boston, United States
Quellenangaben
Volume: 8674,
Issue: 2,
Pages: 373-380
Publisher
Springer
Publishing Place
Berlin [u.a.]
Institute(s)
Institute of Computational Biology (ICB)