Estimation of Intima-Media Thickness of Carotid Artery by Ultrasound Radiofrequency Signal Decomposition Using Matching Pursuit

Investigating Temporal Features of Carotid Intima-Media Thickness from Ultrasound Imaging with Recurrent Neural Networks

“…One early study [8] evaluated the IMT over the cardiac cycle from ultrasound video but it was based on the conventional model-based segmentation without deep learning involved. Apart from these studies focused on the images, a study of note [9] proposed a novel method for cIMT estimation based on the decomposition of a radio frequency (RF) signal. In their work, a matching pursuit signal decomposition of the ultrasound RF signal was used to isolate the desired tissue interface echoes, which provided a new perspective on the problem and the potential for multi-modal data integration.…”