A Method for Segmentation and Denoising of Lung Parenchyma Using Left-Right Scanning and Four-Corner Rotation Scanning

Abstract

The present invention discloses a method for segmenting and denoising lung parenchyma using left and right scanning and four-corner rotation scanning. First, extract the minimum circumscribed rectangle of the lung area of ​​the chest ROI; then determine which part of the lung it is, and determine which part of the lung it belongs to. Select the left and right scan or the four-corner rotation scan to obtain the seed point. The upper part of the lung can only use the left and right scan, the middle part of the lung can use both the left and right scan or the four-corner rotation scan, and the bottom of the lung can only use the four-corner rotation scan. Finally, the eight-neighbor region growing method was used to remove the residual tracheal and main bronchi noise. The invention is simple and easy to implement, and the segmentation speed is very fast. It can use a combination of iterative threshold and morphology-based methods for each image in a CT image sequence to completely automatically and accurately segment the PET-CT image sequence. The lung area of ​​each frame of image.

Description

technical field [0001] The invention relates to lung parenchyma denoising, in particular to a method for segmenting and denoising lung parenchyma by using left and right scans and four-angle rotation scans. Background technique [0002] The shape of different parts of the human lung is different. It is mainly divided into three typical parts: upper, middle and lower. At present, the existing methods for lung parenchyma segmentation are mainly aimed at the middle part of the human lung, and cannot perform good segmentation on each part of the lung. denoising. Sequence segmentation of lung images is the basis of 3D visualization of lungs. If images of various parts of lungs cannot be segmented correctly, the effect of 3D reconstruction of lungs will inevitably be affected. Contents of the invention [0003] The purpose of the present invention is to overcome the defects in the prior art and provide a simple, easy-to-implement, and very fast segmentation method for segmentin...

AI Technical Summary

Problems solved by technology

[0002] The shape of different parts of the human lung is different. It is mainly divided into three typical parts: upper, middle and lower. At present, the existing methods for lung parenchyma segmentation are mainly aimed at the middle part of the human lung, and cannot perform good segmentation on each part of the lung. denoising

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