Subcutaneous vein three-dimensional reconstruction method based on hybrid matching strategy

Abstract

The invention discloses a subcutaneous vein three-dimensional reconstruction method based on a hybrid matching strategy and aims to obtain the three-dimensional information of veins. The method includes the steps of firstly, using IUWT and Hessian matrix analysis to respectively obtain the blood vessel segmentation result and the related blood vessel feature image in each view; secondly, extracting and dividing blood vessel central lines through morphology and a blood vessel tracking algorithm to obtain the radius and blood vessel direction of each central line branch; thirdly, using epipolar constraint to calculate the candidate point set, of points in the central line branch of single view, in another view; respectively extracting SURF in the blood vessel similarity image of each view, completing SURF feature point matching, and using a Ransac method to calculate the homograph matrix among views; fifthly, using the layered matching strategy from part to whole to realize point-point matching between the blood vessel central lines of the views of two eyes according to the homograph matrix and the candidate matching point set, and completing the optimization of the homograph matrix during matching; sixthly, completing the three-dimensional reconstruction of the matching central line points according to the principle of triangular measuring, and recovering a three-dimensional blood vessel surface according to two-dimensional blood vessel diameter information.

Description

technical field [0001] The invention relates to a three-dimensional reconstruction method of subcutaneous veins, in particular to a three-dimensional reconstruction method of subcutaneous veins based on a mix-and-match strategy, which is mainly used in the fields of subcutaneous intravenous injection, vein identification and the like. Background technique [0002] Intravenous injection is a commonly used method of drug delivery in clinical medicine, and it is also a basic life support method for severely traumatized patients before they are sent to the hospital. According to statistics, about 1 billion intravenous injections take place in the United States every year, among which, the failure rate of the first injection for ordinary adults is as high as 28%, and the rate is even higher for children and special populations. Repeated injections will not only bring more pain to patients, but also cause strong dissatisfaction among patients, and even lead to doctor-patient confl...

AI Technical Summary

Problems solved by technology

[0005] However, due to the generally poor quality of near-infrared vein images and the incomplete segmentation results of vein vessels, the existing 3D reconstruction methods of vein vessels often have the following limitations:

[0006] 1. The reconstruction results are relatively accurate but only applicable to specific vascular objects with relatively simple or fixed structures, such as simulated single vessels or vascular bifurcation points, etc., and cannot adapt to the complete reconstruction of real subcutaneous venous vessels

[0007] 2. The reconstruction object is complete but the reconstruction accuracy is difficult to guarantee. For example, the use of SAD algorithm in the matching process of venous vessel reconstruction is not strict, and the reconstruction results are relatively rough

[0008] 3. Due to the unstable quality of near-infrared vein images, the reconstruction algorithm fails or the reconstruction accuracy decreases due to incomplete segmentation of vein vessels

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