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Self-adapting medicine sequence image values inserting method based on interested region

A region of interest and sequence image technology, applied in image data processing, graphic image conversion, 2D image generation, etc., can solve problems such as large amount of calculation, blurred boundaries of interpolated images, etc.

Inactive Publication Date: 2007-12-05
SUZHOU SOUKE INFORMATION TECH
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  • Abstract
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Problems solved by technology

[0007] The purpose of the present invention is to provide an adaptive medical sequence image inter-sectional interpolation method based on a region of interest (ROI), which is used to overcome the disadvantages of the existing algorithm such as blurring the border of the interpolated image and a large amount of calculation, and to make the new interpolated image (3D image) Not only in terms of gray value, but also in terms of tissue shape, it is more in line with actual needs, so as to better perform 3D reconstruction of medical images,

Method used

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  • Self-adapting medicine sequence image values inserting method based on interested region

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Embodiment

[0047] Embodiment: Referring to accompanying drawing 1, the present invention proposes a kind of system overall frame diagram of adaptive medical sequence image interpolation method based on region of interest, and data file (picture file) is the CT or MRI picture that conforms to DICOM format.

[0048] [1] Acquisition of source data According to the requirements of rendering, the multi-layer tomographic image files captured by hardware equipment such as CT or MRI are read through the file reading module, and their characteristic data are obtained through interface functions. In this example, the number of tomographic pictures is 227, the resolution of a single picture is 512×512, the distance between two adjacent pictures is 2.8mm, and the patient information required by the doctor. Finally, perform necessary preprocessing work on the tomographic image, including smoothing and denoising;

[0049] 【2】Determine the position of the source image In this example, a total of 227 la...

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Abstract

The invention discloses an interpolating method of self-adapting medical sequence image among fault space based on interesting area, which utilizes tissue relativity and body relativity to judge whether the interpolated point belongs to the interesting area to select fitful interpolating method. The invention considers the change of grey and structural outline, which solves the insufficiency of traditional interpolating method to make new interpolated image approach actual condition. The interpolating method modifies the visual effect and image quality greatly, which reduces the noise and shortens the calculating time to be applied in three-dimensional reconstruction and display system.

Description

technical field [0001] The present invention relates to a method for inter-sectional interpolation of sequential images, in particular to an ROI-based adaptive inter-sectional interpolation method for medical sequential images, that is, a new inter-layer image is interpolated from known sequence images, which is a three-dimensional reconstruction of medical images. One of the core technologies. Background technique [0002] Today's society is in an era of information explosion. People often seem at a loss in front of the vast ocean of data, and it is difficult to grasp the essence, structure and laws hidden in the data for a while. Visualization (Visualization) is developed under this background, it transforms data into a form that is easy to be accepted and understood - graphics. In the 1970s, the successful application of CT technology in clinical medicine created a new era of imaging medicine, making non-invasive examination and diagnosis of the human body a reality. In...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T11/00
Inventor 崔志明吴健马建林
Owner SUZHOU SOUKE INFORMATION TECH
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