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

A technology of region of interest and sequence images, applied in image data processing, graphic image conversion, 2D image generation, etc.

Inactive Publication Date: 2009-11-18
SUZHOU SOUKE INFORMATION TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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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,

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

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Embodiment

[0047] Example: see attached figure 1 , for the present invention proposes a system overall frame diagram of an adaptive medical sequence image interpolation method based on the region of interest, and the data file (picture file) is a CT or MRI picture conforming to the 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 layers of ...

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Abstract

The invention discloses an adaptive inter-sectional interpolation method of medical sequence images based on regions of interest. The method makes full use of the characteristics of tissue correlation and voxel correlation, and first judges whether the point to be interpolated belongs to the region of interest, and then Choose an appropriate interpolation method. The invention not only considers the change of gray level, but also takes into account the change of anatomical structure outline, thereby better solving the deficiency of the traditional interpolation method, and making the newly interpolated picture closer to the actual situation. Experiments prove that the visual effect and image quality of the present invention have been greatly improved, and the interpolated pictures have clear outlines, less noise, no double outlines, improved interpolation quality, and more importantly, greatly reduced calculation time. Applying the present invention to a three-dimensional reconstruction and display system makes the border of the drawn image clear, reduces the terrace effect to a minimum, and is more in line with actual needs, thereby improving the accuracy of doctor's judgment and work efficiency in a large range.

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 by people - 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 re...

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Application Information

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Patent Type & Authority Patents(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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