Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

X-ray computerised tomograph capable of automatic eliminating black false image

A computer and black-hearted technology, which is applied in the field of medical image processing, can solve the problems of artifact image and real image size mismatch, affecting image quality, and different reconstruction field of view, etc.

Inactive Publication Date: 2005-08-24
SHENYANG NEUSOFT MEDICAL SYST CO LTD +1
View PDF0 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this can indeed reduce the black center artifact in the image, there are still the following problems: (1) directly removing the bed board effect will cause image distortion; (2) directly subtracting the bed board effect image will appear irregular This is because the scanning conditions and environmental factors of scanning the empty bed board are different from those when scanning the patient's body; (3) the reconstruction field of view of the patient's CT image may be different from the bed board reconstruction field of view, and the direct subtraction of the bed board image will lead to artifact images and real Size mismatch between images, which also affects image quality and introduces new artifacts

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
  • X-ray computerised tomograph capable of automatic eliminating black false image
  • X-ray computerised tomograph capable of automatic eliminating black false image
  • X-ray computerised tomograph capable of automatic eliminating black false image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] Implement the present invention on a double-layer CT machine, scan bed board data, bed height 445mm, body scanning protocol 120KV, 150mA, minimum scanning time 2 seconds, slice thickness 7mm, tomographic scanning mode.

[0056]After the system automatically performs air correction and hardening correction, the raw data Raw is obtained, and the raw data Raw is reconstructed by convolution and back-projection to obtain the bed board image CouchImg. Because the tube is at the zero position, the differential operation is performed along the image from top to bottom, and the CouchImg differential image is calculated to obtain CouchImg'.

[0057] CouchImg(i,j)=CouchImg(i+1,j)-CouchImg(i,j),

[0058] Wherein, i=0, .., IMGSIZE-1, j=0, . . . , IMGSIZE, i, j correspond to directions parallel to and perpendicular to the bed board, respectively.

[0059] Normalized difference image CouchImg normalized operation

[0060] CouchIm g ′ ...

Embodiment 2

[0073] The invention was implemented on a single slice CT machine. Scan bed board data, bed height 400mm, body scan protocol 80KV, 35mA, minimum scan time 5 seconds, slice thickness 10mm, tomographic scan mode. After the system automatically performs air correction and hardening correction, the raw data Raw is obtained, and the algebraic reconstruction algorithm is used to obtain the bed board image CouchImg on the raw data. Because the tube is at the zero position, the difference calculation is performed along the image from top to bottom, and the CouchImg difference image is calculated to obtain CouchImg'.

[0074] CouchImg(i,j)=CouchImg(i+1,j)-CouchImg(i,j),

[0075] Wherein, i=0, .., IMGSIZE-1, j=0, . . . , IMGSIZE, i, j correspond to directions parallel to and perpendicular to the bed board, respectively.

[0076] Normalized difference image CouchImg normalized operation

[0077] CouchIm g ′ 1 ( ...

Embodiment 3

[0088] The invention is implemented on a multi-slice CT machine, the bed board data is scanned, the bed height is 550 mm, the body scanning protocol is 140 KV, 300 mA, the shortest scanning time is 0.8 seconds, the slice thickness is 1 mm, and the tomographic scanning mode is used. After the system automatically performs air correction and hardening correction, the raw data Raw data is obtained for Fourier reconstruction algorithm reconstruction, and the bed plate image is obtained. Because the tube is at the zero position, the differential operation is performed along the image from top to bottom, and the CouchImg differential image is calculated to obtain CouchImg'.

[0089] CouchImg(i,j)=CouchImg(i+1,j)-CouchImg(i,j),

[0090] Wherein, i=0, .., IMGSIZE-1, j=0, . . . , IMGSIZE, i, j correspond to directions parallel to and perpendicular to the bed board, respectively.

[0091] Normalized difference image CouchImg normalized operation

[0092] CouchIm ...

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

A CT machine able to automatically eliminate the false black image features that the hardening effect of ray beam and the scatter effect of bed plate are integrally processed to obtain a calibration table, and the calibration table is input to its computer for eliminating the false black image. Said processing procedure is also disclosed.

Description

technical field [0001] The invention belongs to the technical field of medical image processing. In particular, it relates to a technique for processing image artifacts in X-ray computed tomography imaging. Background technique [0002] X-ray computed tomography images (hereinafter referred to as CT images) often have black center artifacts, which bring difficulties to the quantitative analysis of CT images. It is generally believed that X-ray beam hardening is a major cause of black center artifacts, and some image artifacts similar to cupping effects can be removed by hardening correction. Experiments have found that for head CT, hardening correction can remove the black center artifact in the image, but for abdominal CT, despite the conventional hardening correction, the black center artifact in the image still exists. Comparing the difference between the two scanning methods of the head and the body, the head scan does not need to use the bed board, while the body scan...

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
IPC IPC(8): A61B6/03G06T1/00
CPCA61B6/5258
Inventor 孙海宁楼珊珊张坚刘晋军李双学
Owner SHENYANG NEUSOFT MEDICAL SYST CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com