System and method for reducing radiation dosage

A dose and noise reduction technology, applied in the field of medical and medical systems, which can solve problems such as degraded image quality, patient exposure to radiation, impact, etc.

Active Publication Date: 2019-03-19
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 dosage

Examples

Experimental program
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Embodiment 1

[0185] Example 1, Exemplary images of different dose levels.

[0186] Figure 13A with 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

[0187] Example 2, Exemplary images of different dose levels.

[0188] 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 14CThe 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

[0189] Example 3, Exemplary Images of Different Dose Levels Generated Based on Different Reconstruction Algorithms.

[0190] 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 the radiation dosage, and the method comprises the steps: acquiring first image data related to an ROI (region of interest) of a first object, wherein thefirst image data is corresponding to a first equivalent dosage, and the first image data may be acquired by a first device; obtaining a noise reduction model associated with the first image data anddetermining second image data corresponding to the second equivalent dosage based on the first image data and the noise reduction model, wherein the second equivalent dosage is greater than the firstequivalent dosage. In some embodiments, the method may further comprise the steps: determining information related to the ROI of the first object based on the second image data, and recording information related to the ROI of the first object. The present application converts low dosage images into high dosage images through a noise reduction model, and avoids exposure of the patient to excessiveradiation while obtaining equal or higher quality images.

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 Applications(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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