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Photoacoustic Microscopy (PAM) offers a unique combination of high contrast from endogenous optical absorbers, and increased penetration to image microvasculature. However, images of the vasculature at increased depth are often corrupted by acoustic reverberation from superficial layers. In this paper, we present an algorithm using dictionary learning to remove the reverberant signal while preserving...
Echocardiographic image sequences are frequently corrupted by quasi-static artifacts known as “clutter”. These artifacts are superimposed on the moving myocardium and hinder useful diagnosis. Prior work has shown the efficacy of blind source separation methods to suppress clutter while retaining underlying signal. However, the same image may be corrupted with clutter from multiple mechanisms or sources...
Sonothrombolysis traditionally uses microbubble (MB) formulations comprised of low solubility gases with diameters between 1–4 µm. MBs with parameters outside of this range have not been explored for sonothrombolysis due to embolic risks associated with large diameter, insoluble MBs. However, a growing body of evidence suggests that larger MBs confer increased bioeffects when excited acoustically,...
Regional tissue motion estimation using medical ultrasound images is an important first step in solving many problems with significant clinical applications that include non-invasive assessments of myocardial function in echocardiography. Many existing techniques for estimating motion are based on blockmatching using B-mode image intensity, and phase information is often neglected. In digital image...
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