Method for quantitative analysis for angiogenesis of living animals

Abstract

Disclosed is a method for quantitative analysis for angiogenesis of living animals. The method includes steps of 1), CT (computed tomography) imaging in specified area of the living animal; 2), segmentation of vascular data; 3), fluorescence molecular tomography in the specified area of the living animal; 4), selection of CT images of the vascular in the specified area of the living animal; 5), analysis of vascular topology structure parameters by the aid of a sparse PCA (patient controlled analgesia) technology; 6), quantification of the angiogenesis. By the method, the quantification of the angiogenesis of the living animal can be achieved. The vascular in an angiogenesis area is selected by means of the fluorescence molecular tomography, precise quantification of the angiogenesis can be achieved based on the sparse PCA technology, and a quantitative method of the angiogenesis can be devised by the aid of the sparse PCA technology. During the quantification, different weighted values are distributed to each of the vascular topology structure parameters according to processing results of the sparse PCA technology, and contribution degrees of the different vascular topology structure parameters are distinguished.

Description

technical field [0001] The invention belongs to a method for quantitative analysis of angiogenesis in living animals. Specifically, the present invention belongs to the technical field of image processing, and relates to fluorescence tomography and CT imaging, especially a quantitative method for angiogenesis in living animals based on fluorescence tomography and CT imaging, which can be used for quantitative analysis of angiogenesis in living animals. Background technique [0002] At present, it is generally believed that promoting angiogenesis can treat ischemic diseases. Microscopic imaging of isolated tissue sections is often used to indirectly evaluate the degree of angiogenesis by observing the imaging of labeled probes. A review article published in Nature Medicine in 2003 summarized microscopic imaging studies of angiogenesis. This article made a systematic analysis of imaging modes such as fluorescence microscopy, confocal and multiphoton microscopy, and electron m...

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Problems solved by technology

This article made a systematic analysis of imaging modes such as fluorescence microscopy, confocal and multiphoton microscopy, and electron microscopy, and pointed out that the biggest defect of these methods in clinical applications is that they cannot achieve in vivo imaging, and imaging The scope is too small to be suitable for the research of the overall goal, see: D.M.McDonald, P.L.Choyke, Imaging of angiogenesis: from microscope to clinic. Nature Medicine, 9(6):713-725(2003). At the same time, this two-dimensional The evaluation method has the following disadvantages: animals need to be sacrificed at different time points to obtain frozen sections of muscle tissue, and then to detect the presence of angiogenesis targets under a fluorescent microscope, so the analysis results are heavily dependent on the selection of slices. to the appropriate position, resulting in human misinterpretation, or even the slice does not select the designated area at all, which will lead to the possibility of a certain proportion of false negative results in the test

Different from the way of vascular casting, A. Arkudas et al. established a mouse arteriovenous ring model of in vitro cultured blood vessels. Since the blood vessels are in the culture container to simulate the growth environment in the animal body, VEGF can be evaluated without casting. The role of promoting angiogenesis, see: A.Arkudas, J.p.Beier, G.Pryymachuk, et al., Automatic Quantitative Micro-Computed Tomography Evaluation of Angiogenesis in an Axially Vascularized Tissue-Engineered Bone Construct. Tissue Engineering: Part C, 16( 6): 1503-1514 (2010). However, there are some defects in the above methods. First, neither the 3D vascular network analysis method of vascular casting nor the evaluation strategy after vascular culture in vitro can complete the 3D angiogenesis evaluation in vivo. Second, the current evaluation method of angiogenesis simply lists many parameters that may be related to angiogenesis, without analyzing the internal relationship between each parameter, and does not point out which parameters are key indicators related to angiogenesis. Which are irrelevant or even opposite indicators; more importantly, these methods directly quantitatively analyze the blood vessels after CT imaging, and do not distinguish which are new blood vessels and which are existing blood vessels, which seriously affects angiogenesis Quantitative Research Accuracy

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