Cancer research increasingly focuses on local drug release in tumorous tissue by using drug carriers. Concurrently, techniques to quantify the associated drug release are under investigation. This study presents a Inertial Cavitation-based Release Estimation (ICbRE) method. The estimation is based on the assessment of inertial cavitation (IC) noise and its correlation to release data. To develop ICbRE, we used poly(lactic-co-glycolic acid) (PLGA) nanocapsules loaded with a fluorescent dye, which were flowed through a tissue-mimicking phantom, and exposed them to focused ultrasound bursts at 550–950 kHz with peak rarefaction pressures (PRP) of 0.22–1.85 MPa, corresponding to mechanical index (MI) values of 0.3–1.9. Cavitation activity was recorded using a passive cavitation detection (PCD) system. By training on acoustic data, we derived weight functions, interpreted as transfer functions, to solve this inverse problem. These weight functions were multiplied by a test set of the acoustic data to estimate payload release. The most accurate estimation showed an absolute error of 0.3% and a standard deviation of 1.9% from the nominal value. Given its precision, we propose the integration of ICbRE into focused ultrasound systems to estimate drug carriers’ payload release. In the course of prospective cancer treatments, a drug’s released payload may be simultaneously quantified while monitoring the cavitation noise to ensure an effective therapy.
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