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Image noise reduction method and application thereof

An image noise reduction and image technology, which is applied in the field of image scanning, can solve the problems that affect the doctor's diagnosis of the disease, MRI image noise, etc., achieve good edge details and improve image quality

Pending Publication Date: 2020-11-03
NAT INST OF ADVANCED MEDICAL DEVICES SHENZHEN
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Problems solved by technology

[0006] Based on the problem that under the existing fast imaging conditions, the noise of the reconstructed MRI image is too large, which affects the doctor's diagnosis of the disease, this application provides an image noise reduction method and its application

Method used

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  • Image noise reduction method and application thereof
  • Image noise reduction method and application thereof
  • Image noise reduction method and application thereof

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Experimental program
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Embodiment

[0064] Step 1: Build a self-correcting convolutional neural network framework. This application replaces the original convolution module with figure 2 The self-correcting convolution shown;

[0065] Step 2: The L1 norm between the low-quality MRI image in the paired data and the high-quality noise reduction result obtained after passing through the network designed in step 1 is used as a loss function;

[0066] Step 3: Use the optimizer to optimize the loss function in step 2, iteratively optimize the parameters in the network designed in step 1, and finally make the loss function in step 2 converge;

[0067] Step 4: Give the network noise-free and noise-free data. The noisy data passes through the network to obtain the L1 norm between the noise-reduced data and the noise-free data as a loss function. Use the optimizer to optimize it to change Step 1. Design the parameters in the network, and finally get the mapping of the network parameters in step 1;

[0068] Step 5: For ...

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Abstract

The invention belongs to the technical field of image scanning, and particularly relates to an image noise reduction method and application thereof. Under the condition of existing rapid imaging, reconstructed MRI images are too loud in noise, and diagnosis of a doctor is affected. The invention provides an image noise reduction method. The image noise reduction method comprises the steps of constructing a self-correction convolutional neural network; taking an L1 norm as a loss function; optimizing the self-correction convolutional neural network; taking an image with the noise as the input of the network, taking the image with the noise and a corresponding noiseless image as network labels, training the network, and obtaining a mapping relation from the image with the noise to the noiseless image; and performing noise reduction on the image needing noise reduction through the trained network to obtain a noise-reduced image. The problem of unclear images is solved.

Description

technical field [0001] The present application belongs to the technical field of image scanning, and in particular relates to an image noise reduction method and its application. Background technique [0002] Magnetic resonance imaging (MRI) is a new inspection technique based on the principle that atomic nuclei with magnetic distances can produce transitions between energy levels under the action of a magnetic field. It is of great value in the diagnosis of degenerative diseases. MRI is realized by the high-frequency magnetic field outside the body, and the material in the body radiates energy to the surrounding environment to generate signals. The imaging process is similar to image reconstruction and CT, except that MRI neither depends on external radiation, absorption and reflection, nor on radioactive substances. Gamma radiation in the body uses the interaction between the external magnetic field and the object to image, and the high-energy magnetic field is harmless t...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06N3/08G06N3/04
CPCG06N3/08G06T2207/10088G06T2207/20084G06T2207/20081G06T2207/10081G06N3/045G06T5/70
Inventor 郑海荣李彦明江洪伟万丽雯
Owner NAT INST OF ADVANCED MEDICAL DEVICES SHENZHEN
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