cris.boxmetadata.label.title
Elastically Anisotropic Phantoms Constructed from 3D-printed PLA Fibers
cris.boxmetadata.label.dateissued
07 browse.startsWith.months.september 2020
cris.boxmetadata.label.accesslevel
metadata only access
cris.boxmetadata.label.resourcetype
conference paper
cris.boxmetadata.label.authors
Herman K.
TORRES GARATE, GABRIELA
Yokoyama K.
Gallippi C.M.
University of North Carolina
cris.boxmetadata.label.publisher
IEEE Computer Society
cris.boxmetadata.label.abstract
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.
cris.boxmetadata.label.volume
2020-September
cris.boxmetadata.label.language
English
cris.boxmetadata.label.ocdeknowledgeArea
Radiología, Medicina nuclear, Imágenes médicas
Ingeniería médica
cris.boxmetadata.label.subjects
cris.boxmetadata.label.doi
cris.boxmetadata.label.scopusidentifier
2-s2.0-85097886096
cris.boxmetadata.label.containerissn
19485719
cris.boxmetadata.label.containerisbn
978-172815448-0
cris.boxmetadata.label.conference
IEEE International Ultrasonics Symposium, IUS
cris.boxmetadata.label.sponsor
ACKNOWLEDGMENT The authors thank Siemens Healthcare, Ultrasound Division for in-kind support. This study was supported in part by NIH grants R01HL092944, R01NS074057, R01DK107740, K02HL105659, and T32HL069768.
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