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Medical image data compression method

A technology of image data and data compression, which is applied in the field of medical data security, can solve problems such as poor efficiency, high data transmission efficiency, and lack of universality, and achieve the effect of improving compression efficiency and ensuring resolution

Active Publication Date: 2016-12-14
THE PEOPLES HOSPITAL SHAANXI PROV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This is not universal for medical images, so the compressed data sometimes has higher transmission efficiency and sometimes is not as efficient as normal transmission

Method used

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  • Medical image data compression method

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Embodiment Construction

[0038] Such as figure 1 As shown, according to the preferred embodiment of the present invention, the medical image data compression method of the present invention includes the following steps:

[0039] (1) Transmission of the first 2 frames of images;

[0040] (2) Cache the image data of the N-1th frame and the N-2th frame, wherein N is greater than or equal to 3;

[0041] (3) Convert the N-1th frame and the N-2th frame image into a brightness matrix and obtain the frequency spectrum F(M-1) and F(M-2) corresponding to each frame;

[0042] (4) According to the brightness matrix and frequency spectrum F(M-1) and F(M-2), it is determined to predict the active area and inactive area of ​​the image data of the Nth frame, and calculate the active area of ​​the image data of the N-2th frame entropy in the region;

[0043] This step further includes:

[0044] include:

[0045] (4.1) According to the frequency spectrum F(M-1) and F(M-2), calculate the height of the main diagonal...

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Abstract

In order to improve the transmission efficiency of medical image data for an area of interest having the potential to change at any time and guarantee the certain resolution rate, the invention provides a medical image data compression method. The method comprises: first two frames of images are transmitted; (N-1)th-frame image data and (N-2)th image data are buffered, wherein the N is larger than or equal to 3; the (N-1)th-frame image and (N-2)th image are converted into brightness matrixes and frequency spectrums F(M-1) and F(M-2) that correspond to all frames are obtained; according to the brightness matrixes and the frequency spectrums F(M-1) and F(M-2), an active region and a non-active region of Nth-frame image data are determined and predicted and an entropy in an active region of the (N-2)th-frame image data is calculated; on the basis of the active regions of the (N-2)th-frame image data and the (N-1)th-frame image data, entropies in the active regions of the (N-1)th-frame image data and the Nth-frame image data are calculated; and according to the determined entropies, image data needing compression and transmission are determined.

Description

technical field [0001] The present invention relates to the technical field of medical data security, and more specifically, to a method for compressing medical image data. Background technique [0002] In the 21st century, mankind has entered the era of medical treatment and biotechnology. While medical data is increasing, the application of medical imaging data is also becoming more and more common. With the popularity of mobile smart devices (such as tablet computers), the demand for medical imaging in telemedicine is becoming increasingly prominent. [0003] Common image compression methods include Huffman coding, predictive coding, and transform coding. Huffman coding completely constructs the codeword with the shortest average length of characters based on the probability of character appearance. The algorithm first scans the image data once, calculates the probability of occurrence of various pixels, and specifies unique codewords of different lengths according to t...

Claims

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Application Information

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IPC IPC(8): H04N19/172H04N19/136
CPCH04N19/136H04N19/172
Inventor 刘颖
Owner THE PEOPLES HOSPITAL SHAANXI PROV
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