Method for obtaining volume of interest of four-dimensional heart image

A four-dimensional, image technology, applied in the field of medical image processing, can solve difficult and complex problems

Active Publication Date: 2013-08-07
INNER MONGOLIA UNIV OF SCI & TECH
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Problems solved by technology

For example, BSP (Binary Space Partitioning) has become the leading space segmentation technology due to its high efficiency and recursion, but the disadvantage of BSP is that it is very difficult to select a surface

Method used

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  • Method for obtaining volume of interest of four-dimensional heart image
  • Method for obtaining volume of interest of four-dimensional heart image
  • Method for obtaining volume of interest of four-dimensional heart image

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Embodiment 1

[0055] Such as figure 1 As shown, this embodiment includes the following steps:

[0056] Preprocessing:

[0057] Step 1: Read serial two-dimensional slices (CT images come from the slice sets of different segments collected by retrospective ECG gating technology). The least squares method is used for sequential CT images of cardiac tissue structures to obtain the corresponding Approximate the center of the tangent plane, calculate its covariance matrix at the same time, calculate its eigenvalue, and use the unit eigenvector corresponding to the smallest eigenvalue as the normal vector of the approximate tangent plane. The normal vector of the tangent plane is adjusted to point to the same side of the surface, and a local linear approximation is performed to construct a signed distance function. Finally, the distance function is interpolated, and the Marching Cubes algorithm is used to extract the isosurface, and finally the reconstruction result is output to obtain a surface...

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Abstract

The invention relates to a method for obtaining the volume of interest of a four-dimensional heart image, which belongs to the technical field of image processing. The method comprises the following steps that volume data of a tissue structure is read, voxelization treatment is performed, and regional projection is selected to an interactive polygon through a set of triangular patches, so as to obtain myocardial four-dimensional visualization data based on the volume data; then precise extraction and grid expansion are performed on a selected region in a gridding projection surface, so as to obtain all surface elements involved in a region of interest; and finally, octree encoding and consistency extraction are performed to obtain a voxel set of any sequential image, thereby realizing four-dimensional visualization data of a cardiovascular system on the basis of the volume data. By using the method, a local tissue volume data set corresponding to a contour of the extracted heart region of interest can be automatically obtained, and finally, local extraction and visualization of the four-dimensional heart image are realized. Because the space occupied by the extracted local volume data set is obviously less than the space occupied by the integral volume data set, compared with the space occupied by an image stack before extraction, the space occupied by the extracted image stack is greatly reduced, and therefore, the time consumed by four-dimensional visualization is greatly reduced.

Description

technical field [0001] The present invention relates to a method in the technical field of medical image processing, in particular to a method for extracting a heart volume of interest (VOI, volume of interest) by drawing a polygonal region of interest on the surface of heart volume data. Background technique [0002] The World Heart Federation announced that the number of deaths due to heart disease accounts for one-third of the total number of deaths worldwide every year. Therefore, the early prevention and treatment of heart disease becomes very important. So far, there have been many segmentation algorithms for some anatomical tissues in the human heart, the most common ones are the segmentation of tissue structures such as coronary arteries, atria, and ventricles. Since the segmentation objects of these segmentation algorithms are targeted, they cannot be segmented in a unified way. Because the tissue structure of the heart is very complex, including atria, ventricles...

Claims

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Application Information

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IPC IPC(8): A61B6/03G06T7/00G06T5/00G06T15/00
Inventor 吕晓琪任国印张宝华谷宇张明王倩张传亭吴建帅
Owner INNER MONGOLIA UNIV OF SCI & TECH
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