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Kalman filtering image reconstruction method in PET imaging

A Kalman filter and image technology, applied in image data processing, 2D image generation, echo tomography, etc., can solve the problems of slow calculation speed and large amount of calculation, and achieve the effect of improving deviation and variance and improving quality

Active Publication Date: 2009-08-05
刘华锋
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Problems solved by technology

The biggest disadvantage of the iterative method is the large amount of calculation and the slow calculation speed.

Method used

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  • Kalman filtering image reconstruction method in PET imaging
  • Kalman filtering image reconstruction method in PET imaging
  • Kalman filtering image reconstruction method in PET imaging

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Embodiment Construction

[0043] The positron emission tomography scanner detects the radioactive signals emitted by the human body, and after processing by the coincidence and acquisition system, a projection line is formed, which is stored in the hard disk of the computer in the form of a sinogram (sinogram). The computer takes the Sinogram image as input, invokes the image reconstruction module, and calculates the cross-sectional image of the human body.

[0044] In the application of PET positron emission tomography, transmission scans and emission scans are performed. The attenuation correction factor for the image is obtained from the transmission scan. The emission scan selects 48 sampling angles and 34 radial units within 180 degrees, and the system matrix is ​​generated by the software package provided by Professor Fessler's research group.

[0045] Perform various corrections on the original collected Sinogram data to establish a discrete measurement equation:

[0046] Y(t)=DX(t)+v(t)

[0...

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Abstract

The invention provides a method for rebuilding Kallman filtering image in PET imaging. The method includes steps as follows: obtaining a sinusoidal chart of an original projective line through PET positron emission faultage scanner, establishing a state space system, getting radioactivity activity distribution through the Kallman filtering method based on the state space and rebuilding image. The method rebuild PET image by using the Kallman filtering method based on the state space system which can increase the rebuild image quality efficiently; compared with the prior rebuild method, declination and dispersion of the rebuild result are increased greatly.

Description

technical field [0001] The invention relates to a method for reconstructing a medical tomographic image, in particular to a method for reconstructing a Kalman filter image in PET imaging. Background technique [0002] Positron emission tomography (PET), as a biomedical research technique and clinical diagnosis method, is one of the most important applications in nuclear medicine imaging devices. The basic idea of ​​PET is to inject positron isotope-labeled compounds into the organism, and measure their spatial and temporal distribution in vitro through image reconstruction techniques. Nowadays, many fields of clinical medicine have begun to widely use PET images for tumors, heart diseases (detection of myocardial survival, heart transplantation, monitoring before and after interventional therapy, etc.), nervous and mental diseases (such as the determination of epilepsy, Parkinson's disease, Alzheimer's disease, etc.) and mental illness, etc.), some developed countries have ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00A61B6/03
Inventor 沈云霞刘华锋施鹏程
Owner 刘华锋
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