Four-dimensional-computed tomography (4D-CT) image data interlayer interpolation method for lung

A 4D-CT, image data technology, applied in the field of medical image processing, can solve the problems of blurred edges, blood vessel discontinuity and partial volume effect can not be effectively improved, so as to reduce image artifacts, less discontinuity and Partial volume effect, effect of clear anatomy

Inactive Publication Date: 2014-07-09
SOUTHERN MEDICAL UNIVERSITY
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Problems solved by technology

However, blurred edges and undesirable artifacts are unavoidable, and its vascular discontinuity and partial volume effects cannot be effectively improved

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  • Four-dimensional-computed tomography (4D-CT) image data interlayer interpolation method for lung
  • Four-dimensional-computed tomography (4D-CT) image data interlayer interpolation method for lung
  • Four-dimensional-computed tomography (4D-CT) image data interlayer interpolation method for lung

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Embodiment Construction

[0024] specific implementation plan

[0025] figure 1 The specific flow of the method of the present invention is shown, and the processing process of the method of the present invention is described in detail below in conjunction with a 4D-CT sequence image with 10 phases. The specific steps of the lung 4D-CT image data interlayer interpolation method are as follows:

[0026] (1) Read the lung 4D-CT image data, which is composed of 10 lung 3D-CT image data with different phases;

[0027] (2) Use linear interpolation technology to interpolate and calculate Y for every two adjacent layers in the first phase 3D-CT image data u and Y d A plurality of intermediate layer data Y, the specific form is: Y=(Y u +Y d ) / 2, where Y is the middle layer image, Y u and Y d It is two adjacent layers of images, the 3D-CT image has a total of 104 layers, and 103 layers of intermediate layer images are interpolated after linear interpolation;

[0028] (3) Divide each layer image in the re...

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Abstract

The invention discloses an interlayer interpolation method for lung 4D-CT image data, including (1) reading a lung 4D-CT image, which is composed of multiple lung 3D-CT images with different phases; (2) by The linear interpolation calculation method reconstructs multiple intermediate layer images of each 3D-CT image; (3) divides each layer image in multiple intermediate layer images into multiple original image blocks; (4) for each 3D-CT For each original image block in the image, search for several similar image blocks that are most similar to the original image block within the range of the 4D-CT image except the other multiple 3D-CT images in the 3D-CT image; (5) pair search (6) Replace the corresponding original image block with the final output image block; (7) Operate all the original image blocks, and finally complete all 3D-CT Image interpolation process.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to an interlayer interpolation method for lung 4D-CT image data. Background technique [0002] Since lung 4D-CT data provide information related to respiratory motion, which is of great significance for guiding precise radiation therapy, it has received more and more attention in radiation therapy of lung cancer. However, considering the risk of radiation, lung 4D-CT data can usually only obtain a limited number of scan layers, which makes the inter-layer resolution of the data too large, resulting in low longitudinal (Z-axis direction) resolution. Such low-resolution data often introduce visual artifacts, such as blood vessel discontinuity and partial volume effects, and 4D-CT image data is composed of multiple 3D-CT image data with different phases. [0003] The method to improve the resolution between image layers is mainly interpolation. The commonly used interpolation ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B6/03G06T1/00
Inventor 张煜冯前进陈武凡
Owner SOUTHERN MEDICAL UNIVERSITY
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