Phase Aberration Correction for In Vivo Ultrasound Localization Microscopy Using a Spatiotemporal Complex-Valued

PubMed
Summary

A novel deep learning method using complex-valued convolutional neural networks (CV-CNNs) effectively corrects skull-induced aberrations for transcranial Ultrasound Localization Microscopy (ULM), significantly improving microvessel imaging resolution in mice.

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