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Lossless compression method used for chest computed tomography radiological image

A technology of tomography and lossless compression, which is applied in computerized tomography scanners, clinical applications of radiology diagnosis, image enhancement, etc. It can solve the problems of loss of image precision, difficulty in improving compression ratio, impact on follow-up diagnosis, etc., and achieve high compression ratio Effect

Active Publication Date: 2018-05-22
杭州健培科技有限公司
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AI Technical Summary

Problems solved by technology

Although the lossy compression scheme based on JPEG[1] that exists in many practical applications is simple, it will cause a certain loss of image accuracy, which may affect the subsequent diagnosis based on medical imaging.
The image compression technology related to medical imaging mainly adopts lossless compression technology. The traditional general lossless compression method (entropy coding technology [2]) is difficult to improve the compression ratio in order to ensure versatility.

Method used

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  • Lossless compression method used for chest computed tomography radiological image
  • Lossless compression method used for chest computed tomography radiological image
  • Lossless compression method used for chest computed tomography radiological image

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Embodiment Construction

[0056] The inventive method is applied to the size compression of CT (Computed Tomography) [6] chest examination images, and further used to meet the needs of remote image reading and diagnosis in the cloud. Implementation takes the following steps in sequence:

[0057] 1) Raw data collection

[0058] A total of 500 cases of CT chest examinations were collected from the clinic. The 500 cases included low-dose CT images and normal-dose chest images. Image sampling parameters (resolution 512×512, 12-bit bitmap).

[0059] 2) Automatic chest cavity extraction

[0060] In order to improve the efficiency of automatic extraction, the original chest CT examination data is first down-sampled by two times.

[0061] A Gaussian blur with a standard deviation of 1.5 and a mean of 0 is applied to the downsampled image.

[0062] 3) Image feature extraction

[0063] The convolutional layer of the deep convolutional neural network described in VGG16[11] is used as the feature extraction n...

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Abstract

The invention discloses a lossless compression method used for a chest computed tomography radiological image. The method comprises the steps of 1, automatically extracting chest of a CT image; 2, performing pixel conversion and normalization; and 3, performing pixel and mean coding. According to the method, a relatively high compression ratio can be provided in chest CT data compression; and compressed data meets the usage requirements of radiological diagnosis.

Description

technical field [0001] The invention belongs to the field of medical image compression, and is specially used for image compression for computerized tomography (Computed Tomography) cloud diagnosis applications, in particular to a lossless compression method for chest tomography radiology images. Background technique [0002] Medical Image Compression [0003] The medical information system has faced many problems and challenges since its development in the information age. "Information islands" are one of the most important problems in medical information systems. Due to the uneven development of information technology and the uneven allocation of resources, there are a large number of problems that have nothing to do with the repetitive information construction between various medical institutions and the medical institutions themselves. It has seriously led to the objective problems of low operating efficiency and high cost of the hospital. With the development of cloud...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T9/00G06K9/34A61B6/03
CPCG06T9/005A61B6/032A61B6/50G06T2207/10081G06V10/267
Inventor 谢玮宜程国华季红丽
Owner 杭州健培科技有限公司
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