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Noninvasive Detection, Tracking, and Characterization of Aerogel Implants Using Diagnostic Ultrasound.
Ghimire, Sagar; Sala, Martina Rodriguez; Chandrasekaran, Swetha; Raptopoulos, Grigorios; Worsley, Marcus; Paraskevopoulou, Patrina; Leventis, Nicholas; Sabri, Firouzeh.
Afiliação
  • Ghimire S; Department of Physics and Material Science, The University of Memphis, Memphis, TN 38152, USA.
  • Sala MR; Department of Physics and Material Science, The University of Memphis, Memphis, TN 38152, USA.
  • Chandrasekaran S; Lawrence Livermore National Laboratory, Livermore, CA 94551, USA.
  • Raptopoulos G; Department of Chemistry, National and Kapodistrian University of Athens, 15771 Athens, Greece.
  • Worsley M; Lawrence Livermore National Laboratory, Livermore, CA 94551, USA.
  • Paraskevopoulou P; Department of Chemistry, National and Kapodistrian University of Athens, 15771 Athens, Greece.
  • Leventis N; Department of Chemistry, Missouri University of Science and Technology, Rolla, MO 65409, USA.
  • Sabri F; Department of Physics and Material Science, The University of Memphis, Memphis, TN 38152, USA.
Polymers (Basel) ; 14(4)2022 Feb 13.
Article em En | MEDLINE | ID: mdl-35215635
ABSTRACT
Medical implants are routinely tracked and monitored using different techniques, such as MRI, X-ray, and ultrasound. Due to the need for ionizing radiation, the two former methods pose a significant risk to tissue. Ultrasound imaging, however, is non-invasive and presents no known risk to human tissue. Aerogels are an emerging material with great potential in biomedical implants. While qualitative observation of ultrasound images by experts can already provide a lot of information about the implants and the surrounding structures, this paper describes the development and study of two simple B-Mode image analysis techniques based on attenuation measurements and echogenicity comparisons, which can further enhance the study of the biological tissues and implants, especially of different types of biocompatible aerogels.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Qualitative_research Idioma: En Revista: Polymers (Basel) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Qualitative_research Idioma: En Revista: Polymers (Basel) Ano de publicação: 2022 Tipo de documento: Article