A Pulmonary Airway Tree Segmentation Method for Tracheal Wall Gap Closure Under the Constraint of Spheroid Region

A region-constrained, spheroid-like technology, applied in the field of medical image processing, can solve problems such as extraction and leakage of small airways, and achieve the effect of reducing difficulty and segmenting the environment well

Active Publication Date: 2022-06-28
SHANDONG UNIV
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AI Technical Summary

Problems solved by technology

[0003] In view of the unique leakage problem and small airway extraction problem in the field of pulmonary airway tree segmentation, the main reason for the difficulty of pulmonary airway tree segmentation is considered that the gap in the low-brightness tracheal wall is considered

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  • A Pulmonary Airway Tree Segmentation Method for Tracheal Wall Gap Closure Under the Constraint of Spheroid Region
  • A Pulmonary Airway Tree Segmentation Method for Tracheal Wall Gap Closure Under the Constraint of Spheroid Region
  • A Pulmonary Airway Tree Segmentation Method for Tracheal Wall Gap Closure Under the Constraint of Spheroid Region

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Embodiment Construction

[0017] The present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments. The present invention realizes a pulmonary airway tree segmentation method for sealing the tracheal wall gap under the constraint of the spheroid region, which mainly includes the following steps:

[0018] Step 1: Read the chest CT image and set the initial seed point in the main trachea;

[0019] Step 2: Detect the connected domain and mark it, and push the single-connected seed point sets in the seed point retention matrix into the stack in turn.

[0020] P Label (P)=[P area (k),k],k=1,2,3,...,n.

[0021] Among them, P is the seed point retention matrix, k is the sorting value and tag value in the stack, n is the maximum value of k in the stack, and P area (k) is a set of single-connected seed points marked k, which satisfy the following properties:

[0022] (1)

[0023] (2)

[0024] (3)max[P area (k)] = 1;

[0025] (4) ...

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Abstract

The invention discloses a pulmonary airway tree segmentation method for sealing a gap in a trachea wall under the constraint of a spheroidal area, and belongs to the field of image processing. Aiming at the leakage problem caused by low-brightness tracheal wall gaps in pulmonary airway tree segmentation, the present invention proposes a pulmonary airway tree segmentation method for blocking tracheal wall gaps under the constraints of a spheroidal region, including the following steps: (1) Establish a spheroid-like regional constraint model; (2) segmentation within the region and adaptive adjustment of parameters; (3) closure of the tracheal wall gap. The restriction of segmentation by the spheroidal area reduces the difficulty of leak detection, and it is easy to adjust various parameters adaptively in the restricted area. The spheroidal area constraint creates conditions for the sealing of the tracheal wall gap; the tracheal wall gap sealing can effectively locate and seal The tiny low-brightness gap in the tracheal wall creates a good segmentation environment for the extraction of the three-dimensional structure of the pulmonary airway tree.

Description

technical field [0001] The invention belongs to the field of medical image processing, in particular to pulmonary airway tree segmentation based on chest CT images. Background technique [0002] An accurate 3D pulmonary airway tree model based on chest 3D-CT image data is of great significance for assisting the diagnosis of pulmonary diseases. In addition to the common problems in medical image segmentation, the research on pulmonary airway tree segmentation algorithm also needs to face two unique problems, namely leakage problem and small airway extraction problem. The root of the two problems is that under the influence of partial volume effect and noise, there are low-brightness tracheal wall gaps in the high-brightness tracheal wall in CT images, such as figure 1 As shown in the figure, it is difficult for the tracheal wall to perfectly isolate the airway and the lung parenchyma, resulting in the segmentation process extending from the airway to the lung parenchyma inco...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/187G06T7/136
CPCG06T7/11G06T7/187G06T7/136G06T2207/10081G06T2207/30061
Inventor 崔文韬韩贺薛鹏纪慧中熊文硕董恩清张德敬孙祺高翔常树旺
Owner SHANDONG UNIV
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