Effect of Injection Parameters on the MRI and Dielectric Properties of Condensation-Cured Silicone.
MRI properties
cured silicone
custom-made injection
dielectric properties
extrusion parameters
void content
Journal
Polymers
ISSN: 2073-4360
Titre abrégé: Polymers (Basel)
Pays: Switzerland
ID NLM: 101545357
Informations de publication
Date de publication:
11 Dec 2023
11 Dec 2023
Historique:
received:
27
10
2023
revised:
04
12
2023
accepted:
05
12
2023
medline:
23
12
2023
pubmed:
23
12
2023
entrez:
23
12
2023
Statut:
epublish
Résumé
Phantoms with tissue-mimicking properties play a crucial role in the calibration of medical imaging modalities, including Magnetic Resonance Imaging (MRI). Among these phantoms, silicone-based ones are widely used due to their long-term stability in MR imaging. Most of these phantoms are manufactured using traditional pour-mold techniques which often result in the production of air bubbles that can damage the phantom. This research investigates the feasibility of utilizing extrusion techniques to fabricate silicone phantoms and explores the effects of extrusion parameters including plunger speed and nozzle diameter on void content, T1 and T2 relaxation times, and dielectric properties. A custom double-syringe silicone extrusion apparatus was developed to prepare the silicone samples. The void content, relaxometry, and dielectric properties of extruded samples were measured and compared with traditional poured samples. The results show that extrusion parameters can affect the void content of the silicone samples. The presence of voids in the samples resulted in lower T1 values, indicating an inverse relationship between void content and relaxometry. This study demonstrates the potential of extrusion techniques for manufacturing silicone phantoms with reduced air bubble formation and provides valuable insights into the relationship between extrusion parameters and phantom properties.
Identifiants
pubmed: 38139922
pii: polym15244670
doi: 10.3390/polym15244670
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Natural Sciences and Engineering Research Council
ID : RGPIN-2018-04155