Super-resolution reconstruction method of lung 4D-CT images based on registration
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
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
View PDF2 Cites 0 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
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
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
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...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
PUM
Login to view more
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
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more