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Dynamic reconstruction method of dual-tracer PET (positron emission tomography) concentration on the basis of H infinity filter

A dual tracer and tracer technology, applied in the field of PET images, can solve problems such as difficult separation

Inactive Publication Date: 2013-09-11
ZHEJIANG UNIV
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Problems solved by technology

For example, Koeppe et al. proposed to use a carbon-11-labeled dual tracer for brain imaging in a document titled Evaluation of the reliability in kinetic analysis for dualtraceinjection of FDG and flumazenil PET Study (IEEE Nuclear Science Symposium Conference Record, 2001). However, this method is difficult to achieve the separation of the two tracer signal components when the signal components are highly mixed

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  • Dynamic reconstruction method of dual-tracer PET (positron emission tomography) concentration on the basis of H infinity filter
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  • Dynamic reconstruction method of dual-tracer PET (positron emission tomography) concentration on the basis of H infinity filter

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Embodiment Construction

[0043] 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.

[0044] Such as figure 1 As shown, a method for dynamic reconstruction of dual-tracer PET concentration based on H infinite filtering, including the following steps:

[0045] (1) Collect coincidence counts.

[0046] The detector is used to detect the biological tissue injected with two radioactive tracers, and the n-group coincidence count Y of PET is obtained through dynamic collection; in this embodiment, the detector adopts a PET scanner of the type SHR74000 produced by Hamamatsu Corporation of Japan .

[0047] The PET scanner detects the radioactive signal emitted from the human body, which is processed by the coincidence and acquisition system to form the original coincidence event. The coincidence events recorded by the PET detector include true co...

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Abstract

The invention discloses a dynamic reconstruction method of dual-tracer PET (positron emission tomography) concentration on the basis of H infinity filter. The method includes: 1, acquiring coincidence counting; 2, acquiring concentration distribution data of dual-tracer blood through a blood input function; 3, constructing a PET state space equation; 4, estimating PET concentration distribution by the H infinity filter algorithm; and 5, reconstructing corresponding PET concentration distribution data for two tracers. Generally, the component single racer in the experiment of simultaneous injection of dual tracers cannot be separated directly due to the physical characteristic energy singleness of photon; according to the method, while signal components in the two tracers are highly mixed, the dual tracers simultaneously injected are simultaneously reconstructed by acquiring a PET state space model independently guided by a parallel compartment model.

Description

technical field [0001] The invention belongs to the technical field of PET images, and in particular relates to a method for dynamic reconstruction of double tracer PET concentration based on H infinite filtering. 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 ...

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Application Information

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IPC IPC(8): G06T5/10A61B6/03
Inventor 刘华锋郭敏胡正珲
Owner ZHEJIANG UNIV
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