Image segmentation method based on 3D voxel data image and equipment

A data image and image segmentation technology, applied in the field of medical image processing and application, can solve problems such as low efficiency and increase labor costs, and achieve the effect of improving processing efficiency and avoiding labor costs.

Active Publication Date: 2018-12-07
上海全景云医学影像诊断有限公司
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Problems solved by technology

[0004] An object of the present application is to provide an image segmentation method and device based on 3D voxel data images to solve the problem of low efficiency and increased labor costs caused by reconstructing the 3D target objects in the original 3D voxel data images in the prior art question

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  • Image segmentation method based on 3D voxel data image and equipment
  • Image segmentation method based on 3D voxel data image and equipment
  • Image segmentation method based on 3D voxel data image and equipment

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[0038] The application will be described in further detail below in conjunction with the accompanying drawings.

[0039] In a typical configuration of the present application, the terminal, the device serving the network and the trusted party all include one or more processors (CPUs), input / output interfaces, network interfaces and memory.

[0040] Memory may include non-permanent storage in computer-readable media, in the form of random access memory (RAM) and / or nonvolatile memory, such as read-only memory (ROM) or flash memory (flashRAM). Memory is an example of computer readable media.

[0041] Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can be implemented by any method or technology for storage of information. Information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), sta...

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Abstract

The invention aims to provide an image segmentation method based on a 3D voxel data image and equipment. According to the invention, automatic determination for a 2D fault is realized through determining at least one 2D fault containing a 3D target object and a connection sequence of the 2D faults in the obtained 3D voxel data image; a target line is determined in all 2D fault of the at least one2D fault containing the 3D target object, wherein the target line runs through each 2D of the 3D target object; all 2D faults are segmented based on a region growing method and the target line to obtain a corresponding segmentation result of the 3D target part on each 2D fault; recombination is performed based on the connection sequence and the 2D segmentation result corresponding to each 2D faultto obtain a corresponding 3D segmentation result, thereby being convenient for a user to conveniently and quickly check the 3D segmentation result corresponding to the original 3D voxel data image, and thus improving the processing efficiency of the original 3D voxel data image.

Description

technical field [0001] The present application relates to the field of medical image processing and application, in particular to an image segmentation method and device based on 3D voxel data images. Background technique [0002] In the field of medical image processing and application, the application of 3D voxel data images is becoming more and more extensive. 3D voxel data image (Computed Tomography image, computerized tomography scan), which uses precisely collimated X-ray beams, ultrasound, etc., together with highly sensitive detectors, to perform cross-sectional scans one after another around a certain part of the human body . It has the characteristics of fast scanning time and clear images, and can be used for the examination of various diseases. [0003] In the prior art, organ segmentation based on medical images such as CT and MRI for better analysis and observation is a very common requirement in medical activities. In general, medical personnel manually per...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/12G06T7/187
CPCG06T7/12G06T7/187
Inventor 王进祥
Owner 上海全景云医学影像诊断有限公司
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