A method for automatic extraction of human chest organ tissue

An automatic extraction and chest technology, applied in the field of medical image processing, can solve the problems affecting the observation of scientific researchers and clinicians, the image segmentation technology is not clear enough, and the boundaries of organs and tissues are not smooth, etc., to achieve smooth boundaries, smooth volumes, and clear image segmentation Effect

Active Publication Date: 2019-06-21
HEILONGJIANG TUOMENG TECH CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that the existing image segmentation technology is not clear enough, the boundary of organs and tissues is not smooth, which affects the observation of scientific researchers and clinicians, and further provides an automatic extraction method of human chest organs and tissues

Method used

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  • A method for automatic extraction of human chest organ tissue
  • A method for automatic extraction of human chest organ tissue
  • A method for automatic extraction of human chest organ tissue

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specific Embodiment approach 1

[0043] Specific implementation mode one: see figure 1 , Figure 2 to Figure 7 Describe this embodiment, such as Figure 2 to Figure 7 Shown: figure 2 is the original CT image; image 3 is the result after applying the least squares ellipse fitting algorithm to segment; Figure 4 It is the result of applying the 3D TV-L1 algorithm to denoise and smooth; Figure 5 It is the result of secondary segmentation by applying 3D TV-L1 algorithm; Figure 6 Render the result for the 3D volume; Figure 7 Plot the results for 3D faces. The realization process of the automatic extraction method of human chest organ tissue described in this embodiment is:

[0044] Step 1, reading a sequence of three-dimensional tomographic images;

[0045] Step 2. Use the least squares ellipse fitting algorithm to perform a preliminary segmentation process on each image in the sequence, remove the part outside the sternum, and keep the part inside the sternum; applying the ellipse fitting method to t...

specific Embodiment approach 2

[0080] Embodiment 2: In this embodiment, after the volume rendering in step 4, manual interactive segmentation can be performed, and unnecessary regions can be manually selected for deletion. Other steps are the same as in the first embodiment.

specific Embodiment approach 3

[0081] Embodiment 3: In this embodiment, in step 5, the MC (marching cube) algorithm is used for surface rendering to obtain a three-dimensional reconstruction result. Other steps are the same as those in Embodiment 1 or 2.

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Abstract

An automatic extraction method of human chest organ tissue belongs to the field of medical image processing technology. In order to solve the problem that the existing image segmentation technology is not clear enough, the boundaries of organs and tissues are not smooth, which affects the observation of scientific researchers and clinicians. Technical points: read three-dimensional tomography images; use the least squares ellipse fitting algorithm to perform preliminary segmentation processing on each image in the sequence, remove the part outside the sternum and retain the part inside the sternum; remove the image noise of the part inside the sternum and repeat Carry out segmentation processing, remove unnecessary soft tissue, and obtain the area of ​​interest including the trachea and blood vessels within the sternum; perform volume rendering and surface rendering. Medical image segmentation is of great significance to three-dimensional visualization, three-dimensional positioning, surgical planning and computer-aided diagnosis. The automatic segmentation method completely avoids the influence of subjective factors of the observer, improves the speed of data processing, and has good repeatability.

Description

technical field [0001] The invention relates to an automatic extraction method of human chest organ tissue, which belongs to the technical field of medical image processing. Background technique [0002] In the past 20 years, with the rapid development of medical imaging equipment, various medical institutions have to generate a large amount of medical imaging data every day. Computed tomography (CT), magnetic resonance imaging (magnetic resonance imaging, MRI) and other imaging technologies have become observation organs. important means of organization. The results of medical image processing enable researchers and clinicians to intuitively and clearly observe the normal and lesion positions inside the human body. Therefore, relevant experts at home and abroad have always attached great importance to medical image processing technology, and medical image segmentation is a classic problem in image processing technology. The existing image segmentation technology is not cl...

Claims

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G06T7/11G06T5/00G16H50/50G06T15/08G06T17/00
CPCG06T15/08G06T17/00G06T2210/41G06T2207/10081G06T2207/10088G06T2207/30061G06T2207/30096G06T2207/30101G06T5/70
Inventor邱兆文端金鸣
OwnerHEILONGJIANG TUOMENG TECH CO LTD