A Method of Attenuation Correction Based on Image Segmentation

Abstract

The invention discloses an attenuation correction method based on image segmentation. This method is: 1) reconstruct the original emission data of the nuclear imaging system; 2) perform filtering, denoising, threshold segmentation, nonlinear scale transformation, and difference processing on the reconstructed image at once to obtain the gradient image; 3) according to The gradient distribution of the gradient image is used to segment the gradient image; 4) Region merging of the segmented gradient images is performed to obtain the final segmented image; 5) Each segmented image is assigned a corresponding linear attenuation coefficient to obtain the corresponding attenuation image; 6) Forward projection of each attenuation image, and correct the original emission data according to its projection data; 7) Reconstruct the corrected original emission data to obtain an attenuation-corrected image. Compared with the existing technology, the present invention does not require manual intervention, thereby reducing human errors. In addition, this method is fast to implement and can improve the 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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