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Model-Based Learnin...
Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography
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- Hauptmann, Andreas (författare)
- UCL, Dept Comp Sci, London WC1 6BT, England.
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- Lucka, Felix (författare)
- UCL, Dept Comp Sci, London WC1 6BT, England.;Ctr Wiskunde & Informat, NL-1098 XG Amsterdam, Netherlands.
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- Betcke, Marta (författare)
- UCL, Dept Comp Sci, London WC1 6BT, England.
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Huynh, Nam (författare)
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- Adler, Jonas (författare)
- KTH,Matematik (Avd.),Elekta, S-10393 Stockholm, Sweden.
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- Cox, Ben (författare)
- UCL, Dept Med Phys & Biomed Engn, London WC1 6BT, England.
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- Beard, Paul (författare)
- UCL, Dept Med Phys & Biomed Engn, London WC1 6BT, England.
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- Ourselin, Sebastien (författare)
- UCL, Dept Comp Sci, London WC1 6BT, England.
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- Arridge, Simon (författare)
- UCL, Dept Comp Sci, London WC1 6BT, England.
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UCL, Dept Comp Sci, London WC1 6BT, England UCL, Dept Comp Sci, London WC1 6BT, England.;Ctr Wiskunde & Informat, NL-1098 XG Amsterdam, Netherlands. (creator_code:org_t)
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018
- 2018
- Engelska.
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Ingår i: IEEE Transactions on Medical Imaging. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 0278-0062 .- 1558-254X. ; 37:6, s. 1382-1393
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Recent advances in deep learning for tomographic reconstructions have shown great potential to create accurate and high quality images with a considerable speed up. In this paper, we present a deep neural network that is specifically designed to provide high resolution 3-D images from restricted photoacoustic measurements. The network is designed to represent an iterative scheme and incorporates gradient information of the data fit to compensate for limited view artifacts. Due to the high complexity of the photoacoustic forward operator, we separate training and computation of the gradient information. A suitable prior for the desired image structures is learned as part of the training. The resulting network is trained and tested on a set of segmented vessels from lung computed tomography scans and then applied to in-vivo photoacoustic measurement data.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Nyckelord
- Deep learning
- convolutional neural networks
- photoacoustic tomography
- iterative reconstruction
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- art (ämneskategori)
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