Background Oriented Schlieren (BOS) Visualization for Evaluation of Risk in Aerosol-Generating Procedures
Case Western Reserve University, Cleveland OH
Investigators
Linked publications & trials
Abstract
Project Summary Aerosol-generating procedures (AGPs) are medical procedures that produce aerosols that can be laden with pathogens if the patient has a viral infection, such as SARS-CoV-2 or inï¬uenza. These aerosols pose a signiï¬cant risk to health care workers, as they can linger in the air for extended periods of time and are small enough to bypass ordinary surgical masks. There is currently no established, unambiguous way to evaluate the risks to healthcare workers associated with a speciï¬c AGP, nor is there a rigorous method by which to assess a proposed risk-mitigation strategy. To address this gap, a ï¬ow visualization technique must be developed that can be applied in a clinical setting during actual medical procedures and is capable of detecting aerosol-laden ï¬ows produced by AGPs or potential AGPs. In this R21 proposal, we will adapt background-oriented schlieren (BOS) visualization, a method from ï¬uid mechanics, into a technique that can be applied to study ï¬ows produced by AGPs. The R21 project is high risk with no published preliminary data, but the PIs have successfully demonstrated visualziation of aerosols produced by jet ventilation, a speciï¬c type of AGP, using BOS in a proof-of-concept experiment. The proposed work is signiï¬cant and timely, as assessment of the risk associated with AGPs is extremely important in the context of the COVID-19 pandemic. We will use the novel BOS technique to assess risks and evaluate mitigation strategies for three speciï¬c AGPs in both ex vivo and in vivo conditions. Speciï¬c Aim 1: Develop a human-scale BOS system and establish a procedure for evaluating the risk of AGPs in a clinical setting. Speciï¬c Aim 2: Quantify the risk of aerosol exposure under different simulated and in-vivo conditions, and identify strategies to mitigate the risks. The signiï¬cance and impact of the proposed research will be in developing a tool for unambiguously evaluat- ing the risks associated with AGPs in realistic clinical settings, and urgently-needed risk assessments for three speciï¬c AGPs and experimentally veriï¬ed risk mitigation strategies for each.
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