Deep Convolutional Neural Networks for Displacement Estimation in ARFI Imaging
Ultrasound elasticity imaging in soft tissue with acoustic radiation force requires the estimation of displacements, typically on the order of several microns, from serially acquired raw data A-lines. In this work, we implement a fully convolutional neural network (CNN) for ultrasound displacement e...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - 68(2021), 7 vom: 24. Juli, Seite 2472-2481
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| 1. Verfasser: |
Chan, Derek Y
(VerfasserIn) |
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| Weitere Verfasser: |
Morris, D Cody,
Polascik, Thomas J,
Palmeri, Mark L,
Nightingale, Kathryn R |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control
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| Schlagworte: | Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S. |
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