Abstract: The invention discloses a coordination type zirconium phosphotungstate catalyst and its application in catalytic hydrogenation of furfural, belonging to the field of heterogeneous catalysis. The zirconium phosphotungstate catalyst prepared by the invention not only has good catalytic effect on the conversion of furfural to furfuryl alcohol, but also has mild reaction conditions. The yield of solid line furfuryl alcohol can be 98% if it can be reacted for 1 h at 120 ° C., and the amount of catalyst is less, which greatly reduces the energy consumption in the prior art. In addition, the zirconium phosphotungstate prepared by the invention is easy to separate, has good stability for catalyzing the hydrogenation of furfural to furfuryl alcohol, and is a new, efficient and green catalyst.

Abstract: A method for calculating an index of microcirculatory resistance includes determining myocardial volume by extracting myocardial images; locating a coronary artery inlet and accurately segmenting coronary arteries; generating a grid model required for calculation; determining myocardial blood flow in a rest state and CFR; calculating total flow at the coronary artery inlet in a maximum hyperemia state; determining flow in different blood vessels in a coronary artery tree in the maximum hyperemia state and then determining a flow velocity V1 in the maximum hyperemia state; obtaining the average conduction time in the maximum hyperemia state Tmn, and calculating a pressure drop ?P from the coronary artery inlet to a distal end of a coronary artery stenosis, and a mean intracoronary pressure Pd at the distal end of the stenosis Pd=Pa??P, and calculating the index of microcirculatory resistance.

Abstract: A method for calculating coronary artery fractional flow reserve includes determining myocardial volume by extracting myocardial images; locating a coronary artery inlet and accurately segmenting coronary arteries; generating a grid model required for calculation by edge detection of coronary artery volume data; determining myocardial blood flow in a rest state and CFR by non-invasive measurement; calculating the total flow at the coronary artery inlet in a maximum hyperemia state; determining the flow in different blood vessels in the coronary artery tree in the maximum hyperemia state and then determining flow velocity V1 in the maximum hyperemia state; using V1 as the flow velocity at the coronary artery inlet and calculating a pressure drop ?P from the coronary artery inlet to a distal end of a coronary stenosis, and a mean intracoronary pressure Pd at the distal end of the stenosis Pd=Pa??P, and calculating fractional flow reserve.

Abstract: Disclosed is a method for calculating fractional flow reserve, comprising: collecting a pressure at the coronary artery inlet of heart by a blood pressure sensor in real-time, and storing a pressure value in a data linked table; obtaining an angiographic time according to the angiographic image, finding out the corresponding data from data queues based on time index using the angiographic time as an index value, screening out stable pressure waveforms during multiple cycles, and obtaining an average pressure Pa; and obtaining a length of the segment of blood vessel from angiographic images of the two body positions, and obtaining a blood flow velocity V; calculating a pressure drop ?P for the segment of the blood vessel using the blood flow velocity V at the coronary artery inlet, and calculating a pressure Pd at the distal end of the blood vessel, and further calculating the angiographic fractional flow reserve.

Abstract: A method, device and system for calculating a microcirculation indicator are provided. A method includes: injecting a vasodilator and subjecting a blood vessel to be measured to coronary angiography; selecting at least one angiographic image of a first body position when the blood vessel to be measured is in a resting state and an angiographic image of a second body position when the blood vessel to be measured is in a dilated state; obtaining a three-dimensional coronary artery vascular model by three-dimensional modeling; injecting a contrast agent, and obtaining time T1 taken for the contrast agent flowing from an inlet to an outlet of the segment of blood vessel and time T2 taken for the contrast agent flowing from an inlet to an outlet of the segment of blood vessel; obtaining the microcirculation indicator.

Abstract: The present application provides a method for acquiring aorta based on deep learning and a storage medium, comprising: acquiring a database of slices of an aortic layer and a database of slices of a non-aortic layer; performing deep learning on the database of slices of the aortic layer and the database of slices of the non-aortic layer, to obtain a deep learning model; acquiring CT sequence images to be processed or three-dimensional data of CT sequence images to be processed; extracting feature data from the CT sequence images to be processed or the three-dimensional data of the CT sequence images to be processed; acquiring an image of the aorta from the CT sequence images based on the deep learning model and the feature data.

Abstract: The present application provides a method and an apparatus for accurately extracting a vascular centerline, analysis system, and storage medium.

Abstract: The present application provides a system for acquiring image of aorta based on deep learning, comprising: a database device, a deep learning device, a data extraction device and an aorta acquisition device; the database device is configured for generating a database of slices of an aorta layer and a database of slices of a non-aorta layer; the deep learning device is connected to the database device, and is configured for performing deep learning on slice data, and for analyzing feature data to obtain aorta data; the data extraction device is configured for extracting feature data of CT sequence images to be processed; the aorta acquisition device is connected to the data extraction device and the deep learning device, and is configured for acquiring an image of aorta from the CT sequence images based on the deep learning model and feature data.

Abstract: The present application provides a method and system for acquiring centerline of aorta based on CT sequence images. The method comprises: acquiring three-dimensional data of CT sequence images; acquiring a gravity center of heart and a gravity center of spine based on the three-dimensional data; filtering impurity data from the three-dimensional data of CT sequence images to obtain an image containing left atrium, left ventricle and without interfering coronary artery tree; layered slicing to obtain a group of binarized images; obtaining a circle center and an radius from each layer of slice in the group of binarized images, to generate a point list and an radius list; and mapping one or more pixel points in the point list and the radius list to the image to obtain a centerline of aorta.

Abstract: Disclosed are a method and a device for synthesizing a mathematical model of a blood vessel having a stenotic lesion. The method comprises: performing three-dimensional modeling according to a real-time diameter Dt of a blood vessel, a length L of a blood vessel centerline and a stenotic section to form a three-dimensional model of the blood vessel having a stenotic lesion section (S01); performing N-gon meshing along a circumferential surface of the three-dimensional model of the blood vessel to form a single-layer mesh model (S02); performing surface layering on the single-layer mesh model to form a double-layer mesh model, that is, a mathematical model of the blood vessel (S03).

Abstract: The present disclosure provides a method and an apparatus for acquiring a contour line of a blood vessel according to a centerline of the blood vessel. The method comprises: extracting a centerline of a blood vessel according to a two-dimensional coronary artery angiogram image (S100); obtaining an image of a straightened blood vessel according to the centerline of the blood vessel (S200); setting a threshold Dthreshold for a diameter of the blood vessel on the image of the straightened blood vessel (S300); generating a preset contour line of the blood vessel on both sides of a centerline of the straightened blood vessel according to the Dthreshold (S400); making the preset contour line of the blood vessel step-by-step approach the centerline of the straightened blood vessel to acquire a contour line of the straightened blood vessel (S500); projecting the contour line of the straightened blood vessel back onto the image of the centerline of the blood vessel to obtain a contour line of the blood vessel (S600).

Abstract: The present disclosure provides a method, an apparatus for acquiring blood vessel evaluation parameter based on physiological parameter, and a storage medium. The method for acquiring blood vessel evaluation parameter based on physiological parameter comprises acquiring a physiological parameter (S000); acquiring a blood flow velocity v (S020); acquiring, in real time, an aortic pressure waveform changing over time (S020); acquiring a coronary artery blood vessel evaluation parameter according to the blood flow velocity v, the aortic pressure waveform and the physiological parameter (S030). The coronary artery blood vessel evaluation parameter is acquired according to the blood flow velocity v, the aortic pressure waveform and the physiological parameter.

Abstract: Provided are a method and apparatus for adjusting blood flow velocity in maximum hyperemia state based on index for microcirculatory resistance. The method comprises: acquiring an index for microcirculatory resistance iFMR during a diastolic phase according to a blood flow velocity v, an aortic pressure waveform, and an physiological parameter (S100); making an adjustment parameter r equal to 1 if the index for microcirculatory resistance iFMR during the diastolic phase is less than K; making the adjustment parameter r satisfy a formula r=1?(iFMR?K)/100 if the index for microcirculatory resistance iFMR during the diastolic phase is greater than or equal to K, wherein K is a positive number less than 100 (S200); acquiring a corrected blood flow velocity in a maximum hyperemia state according to a product of the adjustment parameter and a blood flow velocity in the maximum hyperemia state (S300).

Abstract: A method, an apparatus and a system for conveniently measuring coronary artery vascular evaluation parameters are provided by the disclosure.

Abstract: A simplified method, an apparatus and a system for measuring coronary artery vascular evaluation parameters are provided.

Abstract: The present disclosure provides a method for correcting a resting blood flow velocity on the basis of an interval time between angiogram images, comprising: acquiring, in an angiography state, an average blood flow velocity Vh from a coronary artery inlet to a distal end of a coronary artery stenosis (S100); acquiring a time difference ?t between start times of two adjacent bolus injections of contrast agent (S200); obtaining a correction coefficient K according to the time difference ?t (S300); obtaining a resting blood flow velocity Vj according to the correction coefficient K and the average blood flow velocity Vh (S400), as well as an apparatus configured for implementing the above method. The disclosure obtains the resting blood flow velocity Vj according to the correction coefficient K and the average blood flow velocity Vh.

Abstract: Disclosed is a method for calculating an instantaneous wave-free ratio based on a pressure sensor and angiogram images, comprising: acquiring pressures at the coronary artery ostium of heart by a blood pressure sensor in real-time, and storing the pressure values in a data linked table, and the data linked table being indexed by time and the time and real-time pressure being saved in the form of key-value pairs; finding out corresponding datas from the data queue based on time index using the angiography time as an index value, taking an average value of four wave-free pressure values as a wave-free pressure value Pa; obtaining a time Tn of an end phase of a diastolic period, namely of a wave-free period within one cycle according to the time index within the cycle; obtaining a length L of a segment of a blood vessel through angiogram images of two body positions, and obtaining a blood flow velocity V; calculating a pressure drop ?P and calculating a pressure Pd which at the distal end of the blood vessel as

Abstract: A method for calculating an index of microcirculatory resistance includes determining myocardial volume by extracting myocardial images; locating a coronary artery inlet and accurately segmenting coronary arteries; generating a grid model required for calculation; determining myocardial blood flow in a rest state and CFR; calculating total flow at the coronary artery inlet in a maximum hyperemia state; determining flow in different blood vessels in a coronary artery tree in the maximum hyperemia state and then determining a flow velocity V1 in the maximum hyperemia state; obtaining the average conduction time in the maximum hyperemia state Tmn, and calculating a pressure drop ?P from the coronary artery inlet to a distal end of a coronary artery stenosis, and a mean intracoronary pressure Pd at the distal end of the stenosis Pd=Pa??P, and calculating the index of microcirculatory resistance.

Abstract: A method for calculating coronary artery fractional flow reserve includes determining myocardial volume by extracting myocardial images; locating a coronary artery inlet and accurately segmenting coronary arteries; generating a grid model required for calculation by edge detection of coronary artery volume data; determining myocardial blood flow in a rest state and CFR by non-invasive measurement; calculating the total flow at the coronary artery inlet in a maximum hyperemia state; determining the flow in different blood vessels in the coronary artery tree in the maximum hyperemia state and then determining flow velocity V1 in the maximum hyperemia state; using V1 as the flow velocity at the coronary artery inlet and calculating a pressure drop ?P from the coronary artery inlet to a distal end of a coronary stenosis, and a mean intracoronary pressure Pd at the distal end of the stenosis Pd=Pa??P, and calculating fractional flow reserve.

Abstract: A method, device and system for acquiring blood vessel evaluation parameters based on an angiographic image are provided. The method includes: acquiring a real-time pressure Pa at a coronary artery inlet in an angiographic state to obtaining a Pa-t pressure waveform in time domain; subjecting a segment of blood vessel of interest in a two-dimensional angiographic image of the coronary artery in the angiographic state to three-dimensional modeling to obtain a three-dimensional grid model for the blood vessel; acquiring a real-time blood flow velocity v of the three-dimensional grid model for the blood vessel to obtain a v-t velocity waveform in the time domain; obtaining a ?P-t pressure drop waveform in the time domain from the coronary artery inlet to a distal end of the coronary artery stenosis through Fourier transform and the inverse Fourier transform; acquiring the coronary artery blood vessel evaluation parameters in the angiographic state.