Adaptive eigen subspace projection for suppressing HIFU interference

High-intensity focused ultrasound (HIFU) is widely used in non-invasive thermal therapy. During HIFU therapy, ultrasound imaging offers the advantage of non-invasive and real-time monitoring. However, the artifacts caused by the HIFU system can obscure the information about the biological tissue in the ultrasound image. In this study, we introduce a one-dimensional adaptive eigen subspace projection (AESP) method to distinguish HIFU interference from the contaminated data. Ex vivo experiments on a clinical HIFU platform to validate the feasibility of the proposed algorithm. The results indicate that the AESP technique effectively suppresses artifacts produced by HIFU. In contrast to images processed with notch filtering, the AESP processed images show no residual artifacts. These findings demonstrate that AESP has significant potential to improve the efficacy and safety of HIFU treatment.