Quantitative Viscoelastic Response (QVisR) : Direct Estimation of Viscoelasticity With Neural Networks
We present a machine learning method to directly estimate viscoelastic moduli from displacement time-series profiles generated by viscoelastic response (VisR) ultrasound excitations. VisR uses two colocalized acoustic radiation force (ARF) pushes to approximate tissue viscoelastic creep response and...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - 71(2024), 7 vom: 06. Juli, Seite 910-923
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| 1. Verfasser: |
Richardson, Joseph B
(VerfasserIn) |
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| Weitere Verfasser: |
Moore, Christopher J,
Gallippi, Caterina M |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control
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| Schlagworte: | Journal Article |
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