Objective image quality evaluation method for optimizing medical image reconstruction parameter

A technology for image quality evaluation and parameter optimization, which is applied in the field of medical image processing and can solve problems such as quality level calibration and quality level calibration of reconstructed images

Inactive Publication Date: 2015-12-23
ZHEJIANG UNIV
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the invention is to solve the quality level calibration problem of a series of reconstructed images with the same semantics
Provide an objective image quality evaluation method for optimizing medical image reconstruction parameters
The invention is based on the human visual system, making full use of the self-similarity of images with the same semantics, and extracting self-similar information. In order to solve the quality level calibration problem of a series of reconstructed images in the specific operation process, a loop top strategy is adopted combined with the quality factor The sorting method is used to obtain the quality level of a series of images, and a good image quality evaluation effect has been achieved.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Objective image quality evaluation method for optimizing medical image reconstruction parameter
  • Objective image quality evaluation method for optimizing medical image reconstruction parameter
  • Objective image quality evaluation method for optimizing medical image reconstruction parameter

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The method of the present invention will be further described below in conjunction with the accompanying drawings.

[0051] like figure 1 and figure 2 As shown, the objective image quality evaluation method for medical image reconstruction parameter optimization, its specific implementation steps are as follows:

[0052] Step (1). In this embodiment, programming is carried out under the Matlab environment, and n pieces of reconstructed images (n=5 in this embodiment) obtained by susceptibility weighted imaging modality are input. These reconstructed images are reconstructed according to different echo times, and the image size is 512×512, that is, M=N=512.

[0053] Step (2). The reconstructed image is arranged into a two-way circular queue according to the named subscript, I 1 At the head of the line, I n At the end of the line, complete I 1 top operation;

[0054] Step (3). The top image is regarded as a distorted image D, and the non-top image is regarded as a ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an objective image quality evaluation method for optimizing medical image reconstruction parameters. The objective image quality evaluation method comprises the steps of: 1, constructing a plurality of virtual reference images by adopting a circular topping method, wherein quality of a reconstructed image can be analyzed by utilizing a full-reference image quality evaluation algorithm, and parallel processing can be achieved; 2, analyzing self-similarities of the images from different scales and different directions by utilizing Daubechies wavelet transform combined with eigenvalue decomposition; 3, and regarding the obtained self-similarities of the reconstructed images as quality factors, and carrying out bubble sorting on the quality factors to obtain quality levels of the reconstructed images, wherein the highest quality level corresponds to the optimal reconstruction parameter. The objective image quality evaluation method offers image quality objective evaluation which has good consistency with the subjective evaluation, and particularly can accelerate optimizing process of parameters in a medical image reconstruction algorithm.

Description

technical field [0001] The invention belongs to the technical field of medical image processing, in particular to an objective image quality evaluation method for optimizing medical image reconstruction parameters. Background technique [0002] Medical image quality evaluation has long been used by doctors to evaluate the performance of X-ray, computed tomography, magnetic resonance imaging, ultrasound imaging and many other modal imaging equipment. This evaluation is usually subjective and is called subjective image quality evaluation. In addition, a single imaging modality also has different reconstruction algorithms, and the quality of reconstruction also needs to be evaluated subjectively by doctors, which is time-consuming and laborious in the process of optimizing complex reconstruction parameters. In these application scenarios, objective image quality evaluation based on artificial intelligence and machine learning highlights its advantages due to its fast calculati...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06K9/32G06K9/62
CPCG06V30/1478G06F18/211
Inventor 钱大宏王少泽丁勇金凯
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap