Blood vessel straightening and reconstructing method based on heart CT image

Abstract

The invention discloses a blood vessel straightening and reconstructing method based on a heart CT image, comprising the following steps: S1, the 3D CT data of the heart and the center line data of blood vessels are obtained; S2, each point on the center line of the blood vessels is extended in the forward and backward directions respectively to obtain a specified number of points, every four adjacent points are connected into a quadrangle, and the quadrangles are combined to generate a surface; S3, the world coordinates of the points on the surface are enabled to correspond to the image coordinates in the 3D CT data of the heart through an interpolation method to obtain corresponding pixel gray, and a gray surface is obtained; and S4, the surface is straightened, projected and mapped to arectangular plane to obtain a straightened reconstructed image of the blood vessels. The method has the advantages as follows: the blood vessels can be presented to doctors more visually to realize multi-level and multi-angle observation; and doctors can make a qualitative or quantitative analysis of the blood vessels more quickly and accurately to find the locations of lesions (such as stenosis,occlusion, aneurysm and vascular wall calcification).

Description

technical field [0001] The invention belongs to the technical field of CT image processing, and in particular relates to a blood vessel straightening and reconstruction method based on cardiac CT images. Background technique [0002] The visualization of tubular structural tissues (such as blood vessels) is an important topic in the field of medical imaging, because CT images and magnetic resonance images can provide researchers with three-dimensional volume data sequences of the human body, which contain the above-mentioned researchers. Tubular structures of interest. Therefore, researchers can visualize the tubular structure by reading the three-dimensional volume data sequence of the human body. [0003] However, the existing methods for visualization research also encounter corresponding difficulties, that is, these three-dimensional volume data sequences also contain some other structural organizations that researchers are not interested in. And if the 3D volume data ...

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Problems solved by technology

[0003] However, the existing methods for visualization research also encounter corresponding difficulties, that is, these three-dimensional volume data sequences also contain some other structural organizations that researchers are not interested in.

And if the 3D volume data sequence is not preprocessed, the volume rendering (such as maximum density projection MIP, ray casting and surface covering, etc.) is performed directly, because these tubular structures of interest cannot be located in a single plane as a whole , will get inaccurate imaging results

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