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A method for improving the image quality of helical tomotherapy

A technology of image quality and tomography, which is applied in the field of medical image processing, can solve the problems of unclear edges, high noise in helical tomographic radiotherapy images, and low contrast, and achieve the effects of clear edges, improved contrast, and reduced change frequency

Active Publication Date: 2018-04-27
BEIHANG UNIV
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Problems solved by technology

[0004] 1. Purpose: The purpose of the present invention is to provide a method for enhancing the image quality of helical tomotherapy based on the retina-cerebral cortex theory. The image quality is improved to solve the problems of more noise, low contrast and unclear edges in helical tomotherapy images

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  • A method for improving the image quality of helical tomotherapy
  • A method for improving the image quality of helical tomotherapy
  • A method for improving the image quality of helical tomotherapy

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[0031] A method for improving the image quality of spiral tomotherapy based on the retina-cerebral cortex theory of the present invention, see figure 1 As shown, the steps are as follows:

[0032] Step 1: first output computer digital images through the helical tomotherapy apparatus, then use the imread function in Matlab language to read the image, and convert its information into Matlab matrix form, so that Matlab language can process it.

[0033] The helical tomotherapy image in the present invention is a digital image of 512 pixels*512 pixels*c channel, that is, the read-in matrix data has dimensions of 512*512*c. The symbol c represents the number of slices contained in the image, each slice is a grayscale image, and the slice images with the number of c channels are stacked to form a complete helical tomotherapy image. This method does not use the correlation information between channels, so the following steps are all completed on a single tomographic image. For conv...

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Abstract

A method for improving the image quality of helical tomographic radiotherapy, which involves a method of improving the quality of helical tomographic radiotherapy images based on the retina-cerebral cortex theory. It has four major steps: Step 1: The computer reads the helical tomographic radiotherapy image in the MATLAB environment ; Step 2: Perform bilateral filtering and denoising on the image; Step 3: Improve the contrast of the image based on the retina-cerebral cortex theory; Step 4: Use the Gauss-Segel iteration method to enhance the edges of the image. The invention solves the problems of high noise, poor contrast and unclear edges in original spiral tomographic radiotherapy images, achieves better quality enhancement results, and has broad application prospects in the field of spiral tomographic therapy.

Description

(1) Technical field: [0001] The invention provides a method for improving the image quality of helical tomotherapy, which relates to a method for improving the quality of helical tomotherapy images based on the retina-cerebral cortex theory, and belongs to the field of medical image processing. (two) background technology: [0002] With the development of information technology and medical imaging technology, medical image processing plays an increasingly important role in medical clinical and scientific research, and strongly promotes the progress of medical scientific research and clinical treatment. Among them, image processing technology for CT (Computed Tomography, ie computerized tomography) images plays an important role. However, research on image processing for mega-voltage computed tomography (MVCT, Mega-Voltage Computed Tomography) images for tomotherapy is still at an early stage. Helical tomotherapy is a cancer radiotherapy method based on helical tomotherapy e...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20028G06T2207/10081G06T2207/30004G06T5/73
Inventor 史振威林浩宁夏廷毅吴伟章
Owner BEIHANG UNIV
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