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PET image reconstruction method based TV norm

An image reconstruction and norm technology, applied in the field of PET imaging, can solve the problems of high data volume requirements and large tracer consumption

Inactive Publication Date: 2014-05-21
ZHEJIANG UNIV
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Problems solved by technology

[0007] Aiming at the above-mentioned technical problems existing in the prior art, the present invention provides a PET image reconstruction method based on the TV norm, which solves the problem that the computer has a high requirement for the amount of collected data involved in the process of image reconstruction, and the tracer The problem of high dosage

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Embodiment Construction

[0048] 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.

[0049] Such as figure 1 Shown, a kind of PET image reconstruction method based on TV norm, comprises steps:

[0050] The positron emission tomography scanner detects the radioactive signals emitted from the human body, and after processing by the coincidence and acquisition system, the original projection line is formed and stored in the computer hard disk in the form of a sinogram; for the originally collected sinogram, the sinogram and known The system matrix D of is the input item, and the relevant modules are called.

[0051] S1. Establish the basic model of the reconstruction problem according to the principle of PET detection;

[0052] S2. Introduce TVAL3 to solve the optimization problem equivalent to the model in S1;

[0053] S3. Initialization...

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Abstract

The invention discloses a PET (Positron Emission Tomography) image reconstruction method based a TV ( Total Variation) norm. The PET image reconstruction method is capable of reconstructing a PET image based on TV norm method by establishing a mathematical model of reconstruction problems and transforming an equivalence problem model, wherein in the process of reconstructing the PET image by virtue of a TV norm model, a TVAL3 algorithm is employed in the solving process of equivalence model problems. As a result, the TVAL3 algorithm is utilized effectively, and the problem of high requirement for data collection quantity in the reconstruction process of traditional PET image reconstruction is improved; experiments of comparing with the existing reconstruction method indicate that good reconstruction result can be maintained while the data collection quantity is reduced.

Description

technical field [0001] The invention belongs to the technical field of PET imaging, and in particular relates to a PET image reconstruction method based on a TV (total variation) norm. Background technique [0002] Positron emission tomography (PET) is a medical imaging technology based on nuclear physics and molecular biology. in accordance with. When performing PET scanning, it is first necessary to inject drugs labeled with radioactive isotopes into the human body. Through the blood circulation system, these substances will form a certain distribution in various tissues and organs in the human body. Due to the short half-life of radioactive isotopes and their extreme instability, they will soon decay, and the positrons generated during the decay process will undergo an annihilation reaction with nearby free electrons, producing a pair of nearly opposite directions and equal energy, with a size of Gamma photons of 511keV are processed by the coincidence acquisition syste...

Claims

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Application Information

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IPC IPC(8): G06T11/00A61B6/03
Inventor 刘华锋王陈也
Owner ZHEJIANG UNIV
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