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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The complex and highly tortuous microstructure of aerogels has led to the superior insulating capabilities that aerogels are known for. This open cell microstructure has also created a unique acoustic fingerprint that can be manipulated to achieve maximum acoustic insulation/absorption. The goal of this work was to create a computational approach for predicting sound propagation behavior in monolithic aerogels using the wave solving tool k-wave. The model presented here explores attenuation and loss values as a function of density, angle of incidence of wave, and medium (aqueous and non-aqueous) for frequencies in the range of 0.5–1 MHz. High numerical accuracy without a significant computational demand was achieved. Results indicate that loss increases as a function of frequency and the medium that the incoming wave is travelling through dominates the attenuation, loss, and other characteristics more than angle of incidence, and pore structure.