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Organ sectional image digitizing method

A tomography and organ technology, applied in image data processing, instruments, image enhancement, etc., can solve the problems of not considering pixels and colors, limited supercomputer capabilities, etc., and achieve the effect of convenience and convenience.

Active Publication Date: 2015-11-11
FUJIAN NORMAL UNIV
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  • Claims
  • Application Information

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Problems solved by technology

Even so, there is still a problem: the power of supercomputers is also limited. For example, in the BigBrain project, researchers can scan brain regions with a resolution of 1 micron.
The spatial gridding algorithm is used to grid the horizon data, and the kriging interpolation algorithm is used to track the spatial gridded data, and the contour drawing including faults and reverse faults is realized, without considering the pixels and colors of the drawing

Method used

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  • Organ sectional image digitizing method
  • Organ sectional image digitizing method

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Embodiment 1

[0056] Please refer to figure 1 , Embodiment 1 of the present invention is:

[0057] A method for digitalizing organ tomographic images is as follows:

[0058] Please refer to figure 2 , using CT scans to obtain organ images of the brain;

[0059] Based on the differential principle, the organ images of the brain are divided into 7404 layers of tomographic images, the thickness of each layer of tomographic images is 0.02 mm, and the tomographic images are marked as follows:

[0060] o r g a n = Σ k t o m o g r a p h y ( k ) ;

[0061] Among them, organ is the digitized organ image, tomography is a tomographic image of the organ image, k is the layer number of the tomographic image, k=1,2,…,7404;

[0062] Please refe...

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Abstract

The present invention provides an organ sectional image digitizing method. The method comprises the steps of scanning to obtain an organ image; based on the differential principle, segmenting the organ image into at least two layers of sectional images, and marking the sectional images; dividing the sectional images of each layer into at least four rectangular grid cells by a grid division method; based on the differential principle, marking the rectangular grid cells; based on the differential principle, marking at least one pixel of the rectangular grid cells; utilizing a binary number to mark the color of the pixel; using the sectional images, the rectangular grid cells, the pixels of the rectangular grid cells, the color sets of the pixels to form the digitizing mark of the organ image. According to the present invention, the digitization expression of the organ sectional image is realized by the differential principle, and the operation, processing and analysis of the organ image big data are convenient.

Description

technical field [0001] The invention relates to the field of medical tomographic image processing, in particular to a method for digitizing organ tomographic images. Background technique [0002] The BigBrain project started in 2003 and completed a high-resolution three-dimensional map of the human brain in 2013. The project took 10 years and cost 1 billion euros, but this is just the beginning. At the beginning of 2013, the European Commission announced that "Human Brain Engineering" was selected as the "Future Emerging Flagship Technology Project" and won a research grant of 1 billion euros. Immediately afterwards, the White House announced the "Advancing Innovative Neurotechnology Brain Research Program" (referred to as the "Brain Program"), which is expected to invest 3 billion US dollars in 10 years. IBM pledged to invest US$1 billion for the commercialization of its cognitive computing platform Watson; Baidu invested US$350 million to vigorously promote the "Baidu Br...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T2207/30016
Inventor 范毅方樊瑜波李知宇
Owner FUJIAN NORMAL UNIV