Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

PET image dynamic rebuilding method and system based on PRCA (principal robustness component analysis)

The PRCA method is used to construct a consistent counting matrix and iterative equations in PET imaging, combined with time and space corrections, to solve the problems of low PET image reconstruction accuracy and noise interference in the existing technology, and achieve higher imaging resolution and contrast.

Active Publication Date: 2013-09-04
ZHEJIANG UNIV
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above-mentioned technical problems existing in the prior art, the present invention provides a PET image dynamic reconstruction method and system of PRCA, which can solve the problem of low accuracy of the computer in the process of dynamic image reconstruction

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
  • PET image dynamic rebuilding method and system based on PRCA (principal robustness component analysis)
  • PET image dynamic rebuilding method and system based on PRCA (principal robustness component analysis)
  • PET image dynamic rebuilding method and system based on PRCA (principal robustness component analysis)

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0072] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0073] like figure 1 As shown, a dynamic reconstruction system of PET images based on PRCA includes a detector and a computer connected to the detector; the operation execution flow chart of the system is as follows figure 2 shown; where:

[0074] The detector is used to detect biological tissues injected with radioactive substances, and dynamically collects n groups of coincidence count vectors of PET; in this embodiment, the detector adopts a PET scanner with model SHR74000 produced by Hamamatsu Corporation of Japan.

[0075] The computer is loaded with a data receiving module, a concentration estimation module and a PET imaging module; wherein:

[0076] The data receiving module is used to receive the coincidence count vector and correct it; the posit...

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 PET image dynamic rebuilding method based on PRCA. The method comprises the following steps that (1) collection and correction are carried out to obtain a coincidence counting matrix; (2) correction restriction is exerted on a PET measurement equation; (3) the PET dynamic concentration data is subjected to iterative estimation; (4) and each frame of PET images are rebuilt. The method has the advantages that different frames of collected data are regarded as a whole to be rebuilt, and the relevancy of the PET data in the time aspect is sufficiently utilized, so the obtained result can embody the characteristic that the dynamic PET can show the time change of a target region; secondly, a background and target region method is used, the interference on the target region caused by the background is reduced, in addition, the time and space correction is added in the rebuilding, the accuracy of the rebuilding result is higher, and the contrast between the target region and the background is improved, so the rebuilding effect is more excellent than the traditional FBP and ML-EM algorithm, and higher medical values are realized.

Description

technical field [0001] The invention belongs to the technical field of PET imaging, in particular to a method and system for dynamic reconstruction of PET images based on PRCA (robust principal component analysis). Background technique [0002] Positron emission tomography (PET) is a medical imaging technology based on nuclear physics and molecular biology. It can observe the metabolic activities of cells at the molecular level, which can be used for the detection and prevention of early diseases, especially tumors. provide a valid basis. PET is essentially an imaging of the concentration distribution of drugs in the patient's body. The radioisotope-labeled drugs injected into the patient enter the circulatory system through the blood, and these substances will form a certain concentration distribution in various tissues and organs in the human body. Due to the short half-life of radioactive isotopes and extremely unstable, they will decay quickly. The positrons released du...

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
CPCG06T11/006G06T7/0012G06T2207/10104G06T2207/30004G06T2211/424
Inventor 刘华锋于行建
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com