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Super-resolution reconstruction method of lung 4D-CT images based on registration

A super-resolution reconstruction and 4D-CT technology, applied in the field of medical image processing, can solve the problems of image blurring and low resolution between layers of lung 4D-CT images.

Inactive Publication Date: 2017-06-06
SOUTHERN MEDICAL UNIVERSITY
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Problems solved by technology

[0003] However, due to the inherent high-dose characteristics of CT irradiation, it is often only possible to reduce the sampling along the longitudinal direction (usually the Z-axis direction) to reduce the 4D-CT scanning time to reduce the radiation dose, resulting in a poor inter-slice resolution of lung 4D-CT images. Below the intra-layer resolution, the test data has significant anisotropy
In this way, when multi-plane observation is performed on the data, such as coronal sagittal plane, etc., interpolation operations are required to obtain correct display, and interpolation operations can easily lead to blurred images

Method used

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  • Super-resolution reconstruction method of lung 4D-CT images based on registration
  • Super-resolution reconstruction method of lung 4D-CT images based on registration
  • Super-resolution reconstruction method of lung 4D-CT images based on registration

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Embodiment 1

[0052] A method for super-resolution reconstruction of lung 4D-CT images based on registration, such as figure 1 As shown, the following steps are included in sequence:

[0053] (1) Obtain low-resolution image sequences of different phases from lung 4D-CT data;

[0054] (2) Select an image of a certain phase in the sequence as a reference image, use the linear interpolation method to interpolate and enlarge it, and use the interpolated result as the initial estimated image f of the reconstruction result 0 ;

[0055] (3) Take the corresponding low-resolution images of other phases in the sequence as the floating image, use the linear interpolation method to interpolate and enlarge the floating image, and estimate the interpolation result of the floating image and the initial estimated image f 0 The motion deformation field between

[0056] (4) Based on the motion deformation field obtained in step (3), reconstruct a high-resolution lung 4D-CT image.

[0057] Step (3) is to ...

Embodiment 2

[0086] A method for super-resolution reconstruction of lung 4D-CT images based on registration, such as Figure 1 to Figure 5 As shown, the following steps are included in sequence,

[0087] (1) From a set of lung 4D-CT data, 10 phase low-resolution coronal image sequences were obtained.

[0088] (2) Select the image with phase 0 in the sequence as the reference image, interpolate it and enlarge it by 2 times, and use the interpolated result as the initial estimated image f of the reconstruction result 0 .

[0089] (3) Use the low-resolution images corresponding to other phases in the sequence as the floating image, and after interpolating and enlarging the floating image by 2 times, estimate the interpolation result and f of the floating image according to the Active Demons driving force expression 0 The motion deformation field between.

[0090]

[0091] In this example, the value of the equalization coefficient α is set to 3.

[0092] (4): Based on the motion deforma...

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Abstract

Provided is a lung 4D-CT image super-resolution reconstruction method based on registration. The lung 4D-CT image super-resolution reconstruction method based on registration sequentially comprises the steps that (1) a sequence of low-resolution images with different phases is obtained through lung 4D-CT data; (2) the image, with some phase, in the sequence is selected as a reference image, interpolation amplification is carried out on the image, and the result obtained after interpolation serves as an initial estimated image f<0> of a reconstruction result; (3) the corresponding low-resolution images, with other phases, in the sequence serve as floating images, interpolation amplification is carried out on the floating images, motion deformation fields between the interpolation results of the floating images and the initial estimated image f<0> are estimated respectively; (4) a high-resolution lung 4D-CT image is reconstructed on the basis of the motion deformation fields obtained in the step (3). A multi-plane display image of the lung 4D-CT image obtained through the lung 4D-CT image super-resolution reconstruction method based on registration is clear, the structure is obviously improved, the image resolution is improved, and the quality of the multi-plane display image of the lung 4D-CT data can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a method for super-resolution reconstruction of lung 4D-CT images based on registration. This method mainly uses image complementary information of different phases to reconstruct high-resolution images, aiming to improve the quality of lung 4D-CT images and enhance the visual effect of images. Background technique [0002] CT images have unique spatial and density resolution. Lung 3D-CT images can guide radiotherapy planning and provide dose projection information, but 3D-CT images cannot track the movement of lung tissue and tumors due to the lack of respiratory motion information. 4D-CT images incorporate time factors into the scanning and reconstruction process of CT images. By synchronously collecting CT images and respiratory signals, the spatial structure and movement of organs and tumors throughout the respiratory cycle can be reproduced. These data are ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50G06T3/40
Inventor 张煜吴秀秀戴振晖
Owner SOUTHERN MEDICAL UNIVERSITY
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