Li Yingguang

TL;DR: The deep-convolutional model can accurately detect stent struts in IVOCT images, thus enabling the fully-automatic quantification of stent parameters in an extremely short time, and might facilitate the application of quantitative IVO CT analysis in real-world clinical scenarios.

TL;DR: In this article, a method and system for lumen modeling and vascular pressure difference calculation based on main branch vessel and side branch vessel parameters is presented, which includes a parameter acquisition module, a lumen model establishment module, an ideal vascular lumen geometric model, a vascular pressure calculation module and a result display module.

TL;DR: A novel approach is evaluated for automatic coregistration of optical coherence tomography (OCT) and coronary angiography and Lumen diameters and side branches from both coro...

TL;DR: In this article, a coronary heart disease screening device consisting of a pickup for obtaining a heart sound signal, a pulse wave sensor, an electrocardio sensor, and a microprocessor connected with output ends of the pickup, was used to obtain the heart sound, pulse wave and electrocardiogram (ECG) signals.

TL;DR: In this paper, a method and device for obtaining a vascular pressure difference is presented, which comprises: receiving anatomical data of a portion of a vessel segment, and obtaining a geometric model of a target vessel according to the anatomical data; obtaining a blood flow model of the target vessel and the blood flow velocity V of the targets according to anatomical data in combination with individual data; preprocessing the geometric model to establish a cross section morphological model, calculating a morphological difference function f(x) of target vessel lumen, and calculating a pressure difference value ΔP at any two