Systems and methods for reducing radiation dose

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

Active Publication Date: 2021-07-09
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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  • Systems and methods for reducing radiation dose
  • Systems and methods for reducing radiation dose
  • Systems and methods for reducing radiation dose

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0175] 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

[0176] Example 3, Exemplary Images of Different Dose Levels Generated Based on Different Reconstruction Algorithms.

[0177] 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...

Embodiment 4

[0178] Example 4, Exemplary Images of the Same Dose Level Generated Based on Different Reconstruction Algorithms.

[0179] Figure 16A and 16B These are exemplary images of the same dose level generated based on different reconstruction algorithms according to some embodiments of the present application. Figure 16A The first image shown in and Figure 16B The second 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 that is the same as the first equivalent dose. The second image is generated according to process 1000 and / or 1100 based on an iterative reconstruction algorithm. The noise level shown in the second image is lower than that shown in the first image.

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Abstract

The present application discloses a method for reducing radiation dose, the method comprising 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 acquiring a noise reduction model associated with the first image data and determining second image data corresponding to a second equivalent dose higher than the specified dose based on the first image data and the noise reduction model. The first equivalent dose mentioned above. In some embodiments, the method may further include determining information related to the ROI of the first object based on the second image data, and recording the information related to the ROI of the first object. This application uses a noise reduction model to convert low-dose images into high-dose images, which can prevent patients from being exposed to excessive radiation while obtaining images of equal or higher quality.

Description

[0001] priority information [0002] This application claims priority to International Application No. PCT / CN2017 / 110005 filed on November 08, 2017, the entire contents of which are 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, Radiation therapy plans, surgery plans, and other medical programs. For example, image-guided radiotherapy (IGRT) based on computed tomography has been widely used in radiotherapy. Traditionally, a radiation therapy plan (also called a treatment plan) for a patient is produced before...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H30/20G16H50/20G06T5/00G06T7/00G06T11/00G06K9/32G06V10/25
CPCG16H30/20G16H50/20G06T5/002G06T7/0012G06T11/008G06T2207/30004G06T2207/10072G06T2207/20084G06T2207/10081G16H50/70G16H30/40G06V10/25G06V2201/031A61N5/1067G06T5/50G06T11/006G06T2207/30196A61N5/1039G06T2207/20081G06T2211/424G06T7/0014G06T11/00G06V10/24
Inventor 孙海宁全国涛鲍园曹文静
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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