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Image denoising method and device, control device and imaging system

An imaging system and image technology, applied to radiological diagnostic instruments, image enhancement, image analysis, etc., can solve problems such as wrong deletion, highlighting or generating image structures

Pending Publication Date: 2022-03-29
SIEMENS HEALTHCARE GMBH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The disadvantage of the known methods is still the above-mentioned risk of mistakenly removing, highlighting or generating structures in the image

Method used

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  • Image denoising method and device, control device and imaging system
  • Image denoising method and device, control device and imaging system
  • Image denoising method and device, control device and imaging system

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Embodiment Construction

[0061] In the following explanation it is assumed that the imaging facility is a computed tomography system. In principle, however, the method can also be used in medical technology and other imaging facilities outside of medical technology.

[0062] figure 1 A computed tomography system 1 with a control device 5 for carrying out the method according to the invention is shown roughly schematically. A computed tomography system 1 generally has a scanner 2 with a gantry in which an x-ray source 3 rotates, which transmit each patient P who is pushed into the machine by means of a couch. In the measurement space of the gantry, the radiation impinges on one of the detectors 4 which are respectively opposite the x-ray source 3 . It is expressly pointed out that this embodiment is only an example of a CT and that the invention can also be used in any CT configuration, for example a CT configuration with a ring-shaped fixed X-ray detector and / or a plurality of X-ray sources.

[0063]...

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PUM

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Abstract

The invention relates to a method for de-noising an image, comprising the following steps: generating an image record (B), ascertaining a noise quantity (RB) of the image record (B), decomposing the noise quantity (RB) into a predetermined number of N frequency-dependent noise components for N frequency bands, the noise components comprising data points, the data points describe noise in an image record (B) of a relevant frequency band, and the noise component is checked to determine whether there is an abnormal data point. The intensities of the abnormal data points lie outside of a predetermined value range and a suppressed noise component is formed by suppressing the values of the abnormal data points determined during the checking in the noise component, and the suppressed noise component is subtracted from the image record. The invention also relates to a corresponding device, to a correspondingly modified control device for controlling an imaging system, and to an imaging system having such a control device.

Description

technical field [0001] The invention relates to a method and a device for image denoising, in particular for X-ray recordings, preferably for statistically motivated, frequency-based protection of image denoising algorithms. Background technique [0002] When recording images, they always contain noise, which can be perceived as disturbing to a greater or lesser extent. A strong noise component is very disadvantageous if these images are to be evaluated, for example when medical photographs are examined by a doctor. The image records are therefore usually denoised prior to the examination by image denoising methods based, for example, on classical nonlinear filters, iterative methods or in particular on artificial intelligence (KI). [0003] A long-standing and known risk in the development and application of image denoising algorithms is the unintentional removal of image-related information, which can occur as a negative side effect during denoising image data. Another r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/10A61B6/00G06V10/30
CPCG06T5/10A61B6/52G06T2207/10081G06T2207/10116G06T2207/20064G06T2207/20056G06T2207/30068G06T5/70G06T7/40A61B6/5258G06T2207/20016G06T2207/30004G06V10/30G06V2201/03G06T5/75A61B6/025A61B6/032A61B6/487A61B6/502
Inventor 玛格达莱娜·赫布斯特斯特芬·卡普勒路德维希·里奇尔
Owner SIEMENS HEALTHCARE GMBH
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