Enhanced CT image tracheal wall enhancement method, system, device and medium

A technology for CT images and trachea, which is applied in image enhancement, image analysis, image data processing, etc., and can solve problems such as blurred bronchiolar wall imaging, insufficient segmentation, and incomplete three-dimensional reconstruction of the trachea

Pending Publication Date: 2020-04-28
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] Because the bronchiole wall imaging of the enhanced CT image is often blurred, the above method is insufficient in the segmentation of the bronchioles (level 4 and above), which in turn leads to incomplete 3D reconstruction of the trachea in the subsequent steps, which cannot provide sufficient information for surgical navigation. individual anatomical basis

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  • Enhanced CT image tracheal wall enhancement method, system, device and medium
  • Enhanced CT image tracheal wall enhancement method, system, device and medium
  • Enhanced CT image tracheal wall enhancement method, system, device and medium

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Experimental program
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Embodiment 1

[0037] Embodiment 1, this embodiment provides a method for enhancing the tracheal wall of a CT image;

[0038] A method for enhancing the tracheal wall of an enhanced CT image, comprising:

[0039] S1: Acquire an enhanced CT image sequence, and perform thresholding processing on the enhanced CT image sequence;

[0040] S2: Perform three-dimensional region growing on the thresholded image to obtain lung and trachea masks;

[0041] S3: Perform closed operation on the lung and trachea mask; perform three-dimensional region growth on the image obtained by the closed operation, and segment the main body area of ​​the trachea;

[0042] S4: Remove the main body area of ​​the trachea for each image in the enhanced CT image sequence to obtain a bronchiole image sequence; calculate the boundary pixel features of each pixel in each image in the bronchiole image sequence;

[0043] Determine whether each pixel of each image in the bronchiole image sequence belongs to the tracheal wall ba...

Embodiment 2

[0114] Embodiment 2, this embodiment also provides an enhanced CT image tracheal wall enhancement system;

[0115] An enhanced CT image tracheal wall enhancement system, comprising:

[0116] A thresholding processing module configured to: acquire a sequence of enhanced CT images, and perform thresholding processing on the sequence of enhanced CT images;

[0117] A first 3D region growing module configured to: perform 3D region growing on the thresholded image to obtain lung and trachea masks;

[0118] The second three-dimensional region growing module is configured to: perform a closed operation on the lung and trachea mask; perform three-dimensional region growth on the image obtained by the closed operation, and segment the main body area of ​​the trachea;

[0119] An enhancement module configured to: remove the main body area of ​​the trachea for each image in the enhanced CT image sequence to obtain a bronchiole image sequence; calculate its boundary for each pixel of eac...

Embodiment 3

[0121] Embodiment 3. This embodiment also provides an electronic device, including a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are executed by the processor, the computer instructions in Embodiment 1 are completed. steps of the method described above.

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Abstract

The invention discloses an enhanced CT image tracheal wall enhancement method, a system, a device and a medium, and the method comprises the steps: obtaining an enhanced CT image sequence, and carrying out the thresholding of the enhanced CT image sequence; performing three-dimensional region growth on the image subjected to thresholding processing to obtain lung and trachea masks; performing closed operation on lung and tracheal masks; performing three-dimensional region growth on the image obtained by the closed operation, and segmenting a trachea main body; calculating boundary pixel characteristics of each pixel point of the trachea main body; judging whether each pixel point of each image in the enhanced CT image sequence belongs to a tracheal wall based on the boundary pixel characteristics; and enhancing the pixel values of the pixel points belonging to the tracheal wall.

Description

technical field [0001] The present disclosure relates to the technical field of image enhancement, and in particular to a method, system, device and medium for enhancing a tracheal wall in an enhanced CT image. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] In recent years, with the development of CT technology, the digital medical imaging technology of CT has also achieved rapid development. Computer-Assisted Surgery (CAS), also known as Imaging Navigator, is a new interdisciplinary research field of computer informatics, medicine, mechanics and graphics and imaging. At present, mature surgical navigation systems are all developed by foreign institutions, such as Medtronic's StealthStation neurosurgery navigation system, BrainLab's 3DVectorVision navigation system, Surgical Navigation Technologies' LandMarx navigation system, etc. [0004] In...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/11G06T7/136
CPCG06T7/11G06T7/136G06T2207/10081G06T2207/30061G06T5/90Y02A90/10
Inventor 万洪林白成杰潘杰冷严牛晗晗彭振伟佀书慧
Owner SHANDONG NORMAL UNIV
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