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
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Common methods in the latter category include ML-EM (Maximum Likelihood-Expectation Maximization), MAP (Maximum A Posteriori), etc. These algorithms generally only target the

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  • 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

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[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...

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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...

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Application Information

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