Yu Wei

TL;DR: In this article, an image processing system used for arteriography and a system for quickly measuring state changes of sympathetic nerves is described. And the system consists of an X-ray angiography machine, a receiving module, a contrast agent parameter inputting module and a processing module, wherein the image processing module comprises an image background extraction module, an image registration module and an image grayscale calibration module.

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

TL;DR: In this article, a method for acquiring pressure difference based on smoking history information is proposed, which includes the steps: receiving anatomic data and a geometric model of part of blood vessel sections; acquiring the blood flow velocity V of a blood flow model of an area-of-interest according to the anatomical data and individual specificity data; building a morphological model of the cross section of each position between a near-end terminal point and a far-end point of a target blood vessel; calculating a morphologically difference function f(x) of a lumen of the target blood

TL;DR: In this article, a method for processing a blood vessel image was proposed, which comprises the following steps: acquiring image data of an interested blood vessel section, acquiring blood flow parameters of the interested blood vessels section, detecting and analyzing the image data, wherein the reference information comprises lumen contour parameters and medial membrane contours, and obtaining reference lumen information according to the mesomembrane contours parameters.