公开(公告)号：US20170238909A1

公开(公告)日：2017-08-24

申请号：US15049935

申请日：2016-02-22

Applicant: Jae Yul Shin ,  Nima Tajbakhsh ,  Jianming Liang

Inventor： Jae Yul Shin ,  Nima Tajbakhsh ,  Jianming Liang

IPC: A61B8/08 ,  A61B5/0402 ,  A61B8/00 ,  A61B5/00

CPC classification number: A61B8/5284 ,  A61B5/02007 ,  A61B5/0402 ,  A61B5/0456 ,  A61B5/1075 ,  A61B5/489 ,  A61B5/7267 ,  A61B5/7289 ,  A61B5/7485 ,  A61B8/085 ,  A61B8/0891 ,  A61B8/469 ,  A61B8/5223 ,  A61B8/5292

Abstract: A system for automatically determining a thickness of a wall of an artery of a subject includes an ECG monitoring device that captures an electrocardiogram (ECG) signal from the subject, and an ultrasound video imaging device, coupled to the ECG monitoring device, that receives the ECG signal from the ECG monitoring device, and captures a corresponding ultrasound video of the wall of the artery of the subject. The system produces a plurality of frames of video comprising the ultrasound video of the wall of the artery of the subject and an image of the ECG signal. A processor is configured to select a subset of the plurality of frames of the ultrasound video based on the image of the (ECG) signal, locate automatically a region of interest (ROI) in each frame of the subset of the plurality of frames of the video using a machine-based artificial neural network and measure automatically a thickness of the wall of the artery in each ROI using the machine-based artificial neural network.