Abstract
Thermal noise and acoustic clutter both impede robust transcranial ultrasound imaging, leading to difficulties in clinical translation. Currently it is not known which one is a more significant contributor to image degradation because there is no good way to separately measure their contributions in vivo. In this work we derive and validate a coherence-based approach for quantifying the individual contributions of thermal noise and acoustic clutter to image degradation and apply it to in vivo transcranial imaging of five subjects.
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