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

Method for synchronously reconstructing dynamic PET image and tracer kinetic parameter on the basis of TV and sparse constraint

A technology with dynamic parameters and sparse constraints, applied in the field of PET imaging, can solve problems such as increasing noise and ignoring physiological information provided in time

Active Publication Date: 2016-08-24
ZHEJIANG UNIV
View PDF5 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Common methods in the latter category include ML-EM (Maximum Likelihood-Expectation Maximization), MAP (Maximum A Posteriori), etc. These algorithms generally only target the PET image information of the same frame, ignoring the information provided by it in time. Physiological information, to a certain extent, increases the noise in the results

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
  • Method for synchronously reconstructing dynamic PET image and tracer kinetic parameter on the basis of TV and sparse constraint
  • Method for synchronously reconstructing dynamic PET image and tracer kinetic parameter on the basis of TV and sparse constraint
  • Method for synchronously reconstructing dynamic PET image and tracer kinetic parameter on the basis of TV and sparse constraint

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0050] Such as Figure 5 As shown, the present invention is based on the total variational constraints and sparse constraints to simultaneously reconstruct the dynamic PET image and the method of tracking dynamic parameters, including the following steps:

[0051] S1. Organize the measurement data matrix y and the corresponding system matrix G according to the principle of dynamic PET detection;

[0052] S2. Establish a dictionary matrix Ψ: if it is simulated data, set the index parameter θ and the detector scanning time interval according to the half-life of the simulated tracer isotopic nuclide to establish a corresponding dictionary matrix; if it is real data, follow the example used in actual operation The corresponding dictionary matrix is ​​establi...

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 method for synchronously reconstructing a dynamic PET image and a tracer kinetic parameter on the basis of TV (total variation) and sparse constraint. The method introduces a dictionary based on sparse constraint and a TV operator to carry out a whole reconstruction process by establishing a mathematic model for synchronously estimating the dynamic PET image and the kinetic parameter, wherein a dynamic PET sequence reconstruction subproblem provided with the total variation operator is subjected to iterative optimization solution by an ADMM algorithm, and a PET kinetic parameter estimation subproblem in combination with the dictionary based on sparse constraint is solved by a soft threshold iterative algorithm. The method solves a problem for simultaneously estimating the dynamic PET image sequence and the kinetic parameter, introduces the TV operator to improve the low result resolution and noise interference proneness in the PET image reconstruction process, and may obtain a better reconstruction result compared with other algorithms which individually reconstructs the PET image or estimates the kinetic parameter.

Description

technical field [0001] The invention belongs to the technical field of PET imaging, in particular to a method for synchronous reconstruction of dynamic PET images and tracer dynamic parameters based on TV (total variation, total variation) and sparse constraints. Background technique [0002] Positron emission tomography (PET) is a kind of nuclear medical imaging. It uses the principle of tracer to display the metabolic characteristics of living organisms. It plays a certain role in medical research and clinical diagnosis. Compared with the image reconstruction analysis of PET only in the static time window, dynamic PET can also perform quantitative analysis on the real metabolic level of the tissue or organ of the organism. Observing the metabolic activities of cells at the molecular level provides an effective basis for early diagnosis and prevention of diseases; among them, it has important applications in the discovery and diagnosis of cancer. [0003] Traditionally, th...

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
IPC IPC(8): G06T11/00
CPCG06T11/003G06T2211/424
Inventor 刘华锋余海青陈舒杭
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