Elastically Anisotropic Phantoms Constructed from 3D-printed PLA Fibers
| Autor: | Gabriela Torres, Kristyna Herman, Keita A. Yokoyama, Caterina M. Gallippi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
3d printed
Materials science food.ingredient business.industry Ultrasound Impulse (physics) 01 natural sciences Gelatin Polyvinyl alcohol 030218 nuclear medicine & medical imaging 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine food Polylactic acid chemistry 0103 physical sciences Anisotropy Acoustic radiation force business 010301 acoustics Biomedical engineering |
| Zdroj: | 2020 IEEE International Ultrasonics Symposium (IUS). |
| Popis: | Many tissues, such as muscle, kidney, and breast, are mechanically anisotropic. Appropriately exploited, mechanical anisotropy can be a clinically relevant target for noninvasive imaging. An imaging method's potential for interrogating mechanical anisotropy can be experimentally evaluated using tissue-mimicking materials, also known as phantoms. The objective of this work is to demonstrate the feasibility of constructing mechanically anisotropic phantoms using 3D-printed polylactic acid (PLA) fibers embedded in gelatin hydrogel or polyvinyl alcohol (PVA) cryogel. Four identical fiber sets were printed; two were embedded in gelatin and two in PVA. Acoustic Radiation Force Impulse (ARFI) imaging was performed on the constructed phantoms, with data acquisitions at 0°, 30°, 60°, and 90° concentric orientations, where 0° and 90° corresponded to the long-axis of the spatially asymmetric ARF excitation being aligned across and along the fibers, respectively. Degree of anisotropy (DoA) was calculated as the ratio of peak displacements achieved at 90° versus 0° orientations. While both gelatin and PVA embedded fibers demonstrated elastic anisotropy, DoA values were 32% higher in gelatin. These pilot experimental results demonstrate that phantoms constructed of 3D-printed PLA fibers embedded in gelatin or PVA exhibit mechanical anisotropy as assessed by ARFI ultrasound. |
| Databáze: | OpenAIRE |
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