A method for reducing the loss of magnification precision for medical images

A medical image and precision technology, applied in the field of medical image processing algorithms, can solve problems such as loss of precision, affecting real-time interaction, and excessive calculation, achieving pixel contrast guarantee, guaranteeing real-time interaction, and improving interpolation accuracy.

Active Publication Date: 2022-01-04
宁波市科技园区明天医网科技有限公司
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this type of complex algorithm is that the amount of calculation is too large, which affects the real-time interaction, and cannot guarantee the quality of the enlarged image
[0013] 3. The accuracy of the existing 8-bit display data has been lost during the conversion process. Even if the optimal interpolation algorithm is used for this data, the resulting image may not be able to achieve satisfactory quality

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for reducing the loss of magnification precision for medical images
  • A method for reducing the loss of magnification precision for medical images
  • A method for reducing the loss of magnification precision for medical images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] Such as image 3 As shown, a method for reducing the loss of magnification accuracy for medical images provided in this embodiment includes the following steps:

[0047] 1) Read the DICOM file into the memory, and analyze the file according to the standard; first, skip the 128-byte DICOM header information, obtain the actual data encoding information through the metadata field, extract and store the actual data segment tag value, and use double-byte Save the Tag(7fe0, 0010) field value, which is the original pixel data PixelData0(M0*N0);

[0048] 2) According to the field Tag (0028, 0101), the actual number of pixels stored in the pixel is obtained, and the pixel data of PixelData0 is intercepted at a high level through the template method;

[0049] 3) Due to the different calibrations selected by the manufacturer, it is necessary to convert the optical density value of the above PixelData0 data to obtain the real image pixel value, and define the transformed pixel data ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for reducing the loss of magnification precision for medical images. The interpolation algorithm is applied to the original pixel data in advance, and the interpolation algorithm with faster operation speed is selected. The present invention changes the existing medical image display processing flow, that is, applies an interpolation algorithm to the original pixel data. Compared with using an interpolation algorithm for display data, the method in this paper can reduce the loss of precision during the scaling process and maintain the authenticity of the image itself to the greatest extent. In addition, this paper uses a fast bilinear method, the algorithm itself avoids floating-point operations, and the complexity of the algorithm itself is low, and the real-time performance of interactive operations is guaranteed.

Description

technical field [0001] The invention relates to a medical image processing algorithm, in particular to a method for reducing the loss of magnification precision for medical images. Background technique [0002] With the development of information technology, computer image graphics technology is more and more used in medical images. In the diagnosis process, in order to clearly and carefully observe the tissue conditions of the region of interest in the image, doctors usually use image magnification processing. Image enlargement is mostly based on an 8-bit pixel data interpolation algorithm. In order to better maintain the authenticity of the pixel data, a more complex interpolation algorithm is used. The image display quality may still not meet the doctor's diagnostic requirements, which will further affect the accuracy of the diagnostic results. [0003] Existing processes such as figure 1 As shown, the steps are as follows: [0004] 1. Analyze DICOM files, extract and ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40
CPCG06T3/4007
Inventor 王井俊简刚唐武斌
Owner 宁波市科技园区明天医网科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap