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System and method for reducing radiation dose

A dose and noise reduction technology, applied in the field of medical and medical systems, can solve the problems of reducing image quality, impact, and patient exposure to radiation, and achieve the effects of improving image quality, reducing image noise, and improving performance

Pending Publication Date: 2021-11-30
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, image-guided radiation therapy images generated based on low-dose projection data can include noise and / or artifacts (eg, staircase artifacts)
Artifacts can degrade image quality and affect diagnostic results based on such images
High-dose image-guided radiation therapy scans can at least partially reduce these problems, but expose the scanned patient to excess radiation

Method used

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  • System and method for reducing radiation dose

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0175] Example 1, Exemplary images of different dose levels.

[0176] Figure 13A and Figure 13B are exemplary images of different dose levels shown according to some embodiments of the present application. Figure 13A The first image shown in and Figure 13B The second image shown in represents the same abdomen of the subject. The first image corresponds to the first equivalent dose. The second image corresponds to a second equivalent dose that is less than 85% of the first equivalent dose. The noise level shown in the second image is greater than the noise level shown in the first image.

Embodiment 2

[0177] Example 2, Exemplary images of different dose levels.

[0178] Figures 14A-14C Exemplary images of different dose levels are shown according to some embodiments of the present application. Figure 14A The first image shown in, Figure 14B The second image shown in and Figure 14C The third images shown in both represent the same region of interest of the object. The first image corresponds to the first equivalent dose. The second image corresponds to a second equivalent dose higher than the first equivalent dose. According to process 800, a second image is generated based on the first image using a denoising neural network model. The third image corresponds to a third equivalent dose which is higher than 85% of the first equivalent dose. The noise level shown in the second image is lower than that shown in the first and third images.

Embodiment 3

[0179] Example 3, Exemplary Images of Different Dose Levels Generated Based on Different Reconstruction Algorithms.

[0180] Figures 15A-15C Exemplary images of different dose levels generated based on different reconstruction algorithms are shown according to some embodiments of the present application. Figure 15A The first image shown in, Figure 15B The second image shown in and Figure 15C The third image shown in represents the same region of interest of the object. The first image corresponds to the first equivalent dose. The first image is generated based on a filtered back-projection reconstruction algorithm. The second image corresponds to a second equivalent dose. The second equivalent dose is 55% of the first equivalent dose. The second image is generated based on a filtered back-projection reconstruction algorithm. The third image corresponds to a third equivalent dose that is the same as the second equivalent dose. according to Figure 9 In the shown pr...

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Abstract

The invention discloses a method for reducing radiation dose. The method includes the step: acquiring first image data related to a region of interest (ROI) of a first object. The first image data corresponds to a first equivalent dose, and the first image data can be acquired by a first device. The method may further include the steps of obtaining a noise reduction model associated with the first image data and determining second image data corresponding to a second equivalent dose based on the first image data and the noise reduction model, wherein the second equivalent dose being higher than the first equivalent dose. In some embodiments, the method may further include the steps of determining information related to a region of interest (ROI) of the first object based on the second image data, and recording the information related to the region of interest (ROI) of the first object. According to the method, the low-dose image is converted into the high-dose image through the noise reduction model, and the patient can be prevented from being exposed to excessive radiation under the condition that the image with the same quality or higher quality is obtained.

Description

[0001] priority information [0002] This application is a divisional application for a Chinese application with an application date of November 08, 2018, an application number of 201811326758.9, and an invention title of a system and method for reducing radiation dose; this application requires filing on November 8, 2017 The priority of the international application with application number PCT / CN2017 / 110005 filed on 11 December 2017, the entire content of which is hereby incorporated by reference. technical field [0003] The present application relates to medical healthcare systems, and more particularly to methods and systems for dose reduction during radiation therapy. Background technique [0004] Various imaging techniques, such as X-ray photography, magnetic resonance imaging (Magnetic Resonance Imaging, MRI), computed tomography (Computed Tomography, CT), positron emission tomography (Positron Emission Tomography, PET), etc. have been widely used in medical diagnosis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/20G16H50/20G06T5/00G06T7/00G06T11/00G06K9/32G06V10/25
CPCG16H30/20G16H50/20G06T7/0012G06T11/008G06T2207/30004G06T2207/10072G06T5/70G06T2207/20084G06T2207/10081G16H50/70G16H30/40G06V10/25G06V2201/031G06T5/60A61N5/1067G06T5/50G06T11/006G06T2207/30196A61N5/1039G06T2207/20081G06T2211/424G06T7/0014G06T11/00G06V10/24
Inventor 孙海宁全国涛鲍园曹文静
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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