CT (Computed Tomography) iterative image reconstruction method

An image reconstruction and iterative technology, applied in image data processing, 2D image generation, instruments, etc., can solve the problems of insufficient reconstructed image quality, poor anti-noise ability, poor self-adaptation and engineering practicability, etc.

Inactive Publication Date: 2014-09-03
SHANDONG UNIV
View PDF1 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on the poor anti-noise ability of previous CT image reconstruction algorithms, high requirements for data integrity, poor self-adaption and engineering practicability, the reconstructed image quality is not yet fully suitable for the needs of clinical imaging in imaging, so that it cannot reduce the X-ray rate of CT examination. In view of the disadvantages of obtaining good application effects in the radiation dose problem, the present invention combines the characteristics of classic iterative CT image reconstruction algorithms, and combines the distance-driven forward / reverse projection calculation strategy and technical ideas such as ordered subsets and self-adaptability, and proposes A CT iterative image reconstruction method as described below

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
  • CT (Computed Tomography) iterative image reconstruction method
  • CT (Computed Tomography) iterative image reconstruction method
  • CT (Computed Tomography) iterative image reconstruction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0025] Examples of the present invention Figure 1-2 As shown, a CT iterative image reconstruction method uses the incomplete projection data collected by the CT machine under the condition of low X-ray tube current under-sampling or limited-angle scanning to perform image reconstruction, and adopts a nested iterative algorithm. Including the iteration of the outer algorithm itself and the projection traversal iteration of the inner layer. In the iteration of the algorithm itself, m is the loop control variable that records the number of iterations of the algorithm itself, and M is the maximum number of iterations of the algorithm itself. In the iteration of the projection traversal, v is a loop control variable that records the number of iterations of projection traversal. The maximum number of iterations of projection traversal iteration is V. For each iteration of projection traversal of the inner layer, that is, at each projection angle, it is evenly divided according to th...

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 a CT (Computed Tomography) iterative image reconstruction method, which can be applied to precise sectional image reconstruction in incomplete projection data situations such as low X-ray tube current, under-sampling or limited angle. The method comprises steps of projection-driven iterative calculation, adaptively-determined ordered subset number, adaptive weight, and distance-driven orthographic projection and back projection calculation. A set of all projection data processed by each time of iterative calculation at each projection angle is firstly divided into a plurality of ordered subsets and each subset undergoes the following steps of distance-driven orthographic projection, subtraction with real projection data and weighting, distance-driven back projection and to-be-reconstructed image correction. In the scanning modes of low X-ray tube current, under-sampling or limited angle, a reconstructed image which can fully meet imaging clinical diagnosis demands can be obtained, the method can be self-sufficiently applied to CT imaging aiming at reducing the X-ray radiation dose or can be used for front-end processing of other CT image reconstruction algorithm.

Description

technical field [0001] The present invention relates to the technical field of CT image reconstruction, in particular to the following CT iterative image reconstruction technology: the tomographic image can be reconstructed accurately enough from incomplete projection data with low X-ray tube current and under-sampling or limited angle, so that the CT can be significantly reduced. On the premise of checking the X-ray radiation dose, it provides a CT iterative image reconstruction method that is fully suitable for the needs of imaging clinical diagnosis. Background technique [0002] X-ray CT (Computed Tomography, computerized tomography) scanning is one of the indispensable basic means of clinical imaging examination. However, since the world's first CT machine was officially installed and used for more than 40 years in 1971, people have been troubled by the X-ray radiation dose and the carcinogenicity of X-ray radiation, because they are directly related to the health and s...

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): G06T11/00
Inventor 孙丰荣司凯秦峰
Owner SHANDONG 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