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Noise suppression method, system and medium for CT scanner

A noise suppression and scanner technology, applied in the field of medical image processing, can solve problems such as contour artifacts, achieve the effect of suppressing excessive noise level deviation and realizing edge protection

Active Publication Date: 2021-10-01
FMI MEDICAL SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the above-mentioned technical defects, the object of the present invention is to provide a noise suppression method, system and medium for CT scanners, which relate to the field of medical image processing of artificial intelligence, and are used to solve the problems in the acquisition data of CT scanners in the prior art. , susceptible to low-signal noise filtering processing resulting in contour artifacts

Method used

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Embodiment 1

[0075] Embodiment 1: The present invention provides a noise suppression method for CT scanners, which is used to solve the problem that low signals with high noise will cause artifacts to reconstructed images during the data collection process of CT scanners. Refer to figure 1 , including the following steps:

[0076] S100: Obtain an initial image collected by a CT scanner, and determine low-signal data according to a preset first threshold;

[0077] In the above steps, the initial image is the projection domain of the sinogram, and the low-signal channels in the collected initial image are filtered, so it is necessary to use the low-signal threshold T LS , locate the low-signal channel L that needs to be filtered in the collected data L , which can be set according to actual scenarios or experimental statistical data.

[0078] S200: Perform image reconstruction on the initial image based on the low-signal data, perform structural segmentation and projection on the reconstru...

Embodiment 2

[0126] Embodiment 2: This embodiment provides a noise suppression system 7 for a CT scanner, see Figure 12 , including the following:

[0127] A screening module 71, configured to acquire an initial image collected by a CT scanner, and determine low-signal data according to a preset first threshold;

[0128] The edge position determination module 72 is configured to perform image reconstruction on the initial image based on the low-signal data, perform structural segmentation and projection according to the reconstructed image, and obtain an edge position image by using a preset second threshold value extraction;

[0129] Specifically, the second threshold set above is used to segment some specific tissues, such as bone tissue.

[0130] The high-frequency filtering module 73 is configured to use the first Laplacian Gaussian operator to convolute the low-signal data to determine a high-frequency noise image, and to iterate the initial image based on the high-frequency noise i...

Embodiment 3

[0139] Embodiment three: in order to achieve the above object, the present invention also provides a computer-readable storage medium, which includes a plurality of storage media, such as flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random Access Memory (RAM), Static Random Access Memory (SRAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), Programmable Read Only Memory (PROM), Magnetic Memory, Magnetic Disk, Optical Disk, Computer programs are stored on servers, App application stores, etc., and the corresponding functions are realized when the programs are executed. The computer-readable storage medium of this embodiment is used to store the noise suppression system 7, and implements the noise suppression method of Embodiment 1 during execution.

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Abstract

The invention provides a noise suppression method, system and medium for a CT scanner, and relates to the technical field of medical image processing of artificial intelligence, including: acquiring an initial image collected by a CT scanner, and determining low-signal data; The signal data is used for image reconstruction of the initial image, and segmentation and projection are performed to obtain an edge position image; the first Laplacian Gaussian operator is used to determine a high-frequency noise image, and iterative high-frequency noise filtering is performed to obtain a preliminary filtered image. ; Using the second Laplacian Gaussian operator to obtain an edge information image; Perform low-frequency filtering on the preliminary filtered image to obtain a low-frequency image; Based on the initial image, according to the edge position image, the preliminary filtered image, the The edge information image and the low-frequency image are combined and calculated to obtain the target image, which is used to solve the problem of contour artifacts that are easily affected by the low-signal noise filtering process in the data collected by the CT scanner in the prior art.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a noise suppression method, system and medium for CT scanners. Background technique [0002] Computed tomography (computed tomography, CT) is a device that uses X-ray rotation to irradiate the object to be measured, and then obtains a tomographic image of the object through computer processing. After the X-ray photons pass through the irradiated object, they arrive at the detector and are collected. After collection, after a series of conversions, the photon signal is converted into an electronic signal and received. The electronic signal received by the detector contains noise, and the noise is mainly composed of electronic noise and photon noise (Poisson noise). With the higher attenuation of X-ray penetration, the fewer X-ray photons reaching the detector, the lower the electronic signal received by the detector, the more significant the noise of the signal, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/20G06T5/00
CPCG06T5/20G06T2207/10081G06T2207/20024G06T5/70
Inventor 刘健宏陈伟徐亦飞
Owner FMI MEDICAL SYST CO LTD