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A low-dose dual-tracer PET reconstruction method based on attention mechanism

A tracer and dual-tracer technology, applied in the field of PET imaging, can solve problems such as high noise, low contrast, spatial resolution and loss of quantitative accuracy

Active Publication Date: 2022-04-26
ZHEJIANG UNIV
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Problems solved by technology

Low-dose PET images are characterized by high noise and low contrast. The commonly used method is to use the traditional iterative reconstruction method to first reconstruct the low-dose PET concentration map, and then perform post-processing or filtering. However, the obtained image is too smooth, resulting in spatial resolution. loss of rate and quantitative precision

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  • A low-dose dual-tracer PET reconstruction method based on attention mechanism
  • A low-dose dual-tracer PET reconstruction method based on attention mechanism
  • A low-dose dual-tracer PET reconstruction method based on attention mechanism

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Embodiment Construction

[0036] 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.

[0037] The low-dose double tracer PET signal reconstruction method based on the attention mechanism of the present invention comprises the following steps:

[0038] (1) Prepare data.

[0039] 1.1 Perform dynamic PET scanning on the biological tissue injected with standard dose of tracer I, and obtain the PET sinogram sequence corresponding to tracer I (Standard-dose Single-tracer Sinogram 1, SSS1); After 5 half-lives, a dynamic PET scan was performed on the biological tissue injected with a standard dose of tracer II, and the PET sinogram sequence SSS2 corresponding to tracer II was obtained.

[0040] 1.2 Use the PET reconstruction algorithm to calculate the standard-dose single-tracer PET concentration map sequence (Standard-dose Single-tracer Activity ...

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Abstract

The invention discloses a low-dose dual-tracer PET reconstruction method based on an attention mechanism, which uses a convolutional network model based on an attention mechanism to deal with low-dose dual-tracer PET image reconstruction problems, and implements the method in a sinogram Standard dose estimation and dual-tracer PET signal separation, this method uses deep learning, a powerful feature extraction tool, to reconstruct a standard-dose single-tracer PET image from a low-dose dual-tracer PET sinogram, Robust to individual differences, tracer combinations, and sampling protocols.

Description

technical field [0001] The invention belongs to the technical field of PET imaging, and in particular relates to a low-dose dual-tracer PET reconstruction method based on an attention mechanism. Background technique [0002] Positron emission tomography (PET) is a diagnostic functional imaging technique that can detect physiological and chemical activities in the human body. Using this technology, it can obtain the glucose metabolism, blood flow and hypoxia and other diseases in target tissues in the human body. related physiological indicators. The principle of PET is: a compound (tracer) labeled with a positron isotope enters the body through injection or oral administration, and according to the needs of the internal physiological or pathological activities of the human body, the tracer gathers in the part where the demand for this compound is high; when the radioactive nucleus When the element decays, it will emit positrons. When the positrons meet the free negative ele...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00G06N3/04
CPCG06T11/003G06T11/005G06N3/048G06N3/045
Inventor 刘华锋曾富珍
Owner ZHEJIANG UNIV
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