Attenuation correction method based on image segmentation

Abstract

The invention discloses an attenuation correction method based on image segmentation. The method comprises the following steps: 1) carrying out reconstruction on original emission data of a nuclear imaging system; 2) carrying out filtering and de-noising processing on the obtained reconstructed image, and then, carrying out threshold segmentation, nonlinear scale transformation and differential treatment to obtain a gradient image; 3) carrying out segmentation on the gradient image according to the gradient distribution of the gradient image; 4) carrying out region merging on the segmented gradient images to obtain final segmented images; 5) providing a corresponding linear attenuation coefficient for each segmented image to obtain corresponding attenuation images; 6) carrying out orthographic projection on each attenuation image and carrying out correction on the original emission data according to the projection data; and 7) carrying out reconstruction on the corrected original emission data to obtain an image after attenuation correction. Compared with the prior art, the method does not need manual intervention, and can reduce personal errors. Besides, the method is quick in realization speed and can improve image reconstruction speed of the system.

Description

technical field [0001] The invention belongs to the field of nuclear medicine imaging and relates to an attenuation correction method based on image segmentation. Background technique [0002] Functional nuclear medicine imaging technology (Positron Emission Tomography (PET), Single Photon Emission Tomography (Single Photon Emission Tomography)) as an advanced imaging technology represents the highest level of nuclear medicine. In recent years, the application of functional nuclear imaging systems in the field of cranial nerve research has attracted more and more attention in the clinical and scientific research fields. At the same time, high-resolution 3D imaging systems and corresponding image reconstruction and correction algorithms have also made great progress. However, the current imaging level cannot meet the requirements of brain function research for image quality and quantitative accuracy, which requires continuous exploration and improvement of imaging system desi...

AI Technical Summary

Problems solved by technology

At present, in the attenuation correction of head-specific functional imaging equipment, this method mainly draws the contour of the head manually or semi-automatically. The disadvantage is that manual intervention is required, and the operator needs to manually draw an elliptical template to obtain the contour of the head. , thus increasing the workload of doctors, and it is easy to introduce human error

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