CN104224206A - X-ray machine imaging performance detection method - Google Patents

X-ray machine imaging performance detection method Download PDF

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Publication number
CN104224206A
CN104224206A CN201310236086.3A CN201310236086A CN104224206A CN 104224206 A CN104224206 A CN 104224206A CN 201310236086 A CN201310236086 A CN 201310236086A CN 104224206 A CN104224206 A CN 104224206A
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CN
China
Prior art keywords
imaging performance
detection method
ray machine
performance detection
brightness
Prior art date
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Pending
Application number
CN201310236086.3A
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Chinese (zh)
Inventor
李劲生
李明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Perlove Radial Video Equipment Co Ltd
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Nanjing Perlove Radial Video Equipment Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by Nanjing Perlove Radial Video Equipment Co Ltd filed Critical Nanjing Perlove Radial Video Equipment Co Ltd
Priority to CN201310236086.3A priority Critical patent/CN104224206A/en
Publication of CN104224206A publication Critical patent/CN104224206A/en
Pending legal-status Critical Current

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Abstract

The invention discloses an X-ray machine imaging performance detection method and belongs to the technical field of medical instruments. According to the method, semicircular aluminum ladder die bodies of different thicknesses are used for analysis of projection data. The method is characterized in that the method comprises the first step of collecting the projection data of the die bodies, the second step of reading the projection data into a two-dimensional array and outputting values of all points in a three-dimensional space, and the third step of visually observing whether images meet clinic requirements or not by observing the distribution areas of the values of all the points in the three-dimensional space. The X-ray machine imaging performance detection method has the advantages that every pixel of an image is displayed accurately at the same time, the fact that imaging indexes are guessed manually is avoided, imaging performance is observed from different angles and different planes, and whether an X-ray emission source reaches requirements or not and whether the conversion efficiency of an imaging medium reaches requirements or not can be judged.

Description

A kind of X-ray machine imaging performance detection method
Technical field
The invention belongs to technical field of medical instruments, relate to x-ray imaging method for testing performance, be specifically related to X-ray quality testing, whether the conversion efficiency of image forming medium, imaging meet clinical demand.
Background technology
After X-ray machine imaging, be transferred on computer, form a two-dimentional image file, this file is generally the medical image of high gray scale, popular software cannot show, and just can will be presented on computer desktop through image algorithm (being generally window width window position) through conversion, but after being through image algorithm conversion, be all lossy, and just look at the full detail of not full images; Two dimensional image is mapped to three dimensions technology can display of medical height gray level image, and the displays image information that can can't harm, so can very objective appraisal X-ray machine imaging performance index.
Summary of the invention
The object of the invention is: provide a kind of X-ray machine imaging performance detection method, X-ray quality can be detected, the conversion efficiency of image forming medium, geometric parameter can be carried out according to phantom projection image information and compare, determine picture quality.
The technical scheme that the present invention takes is: the method is divided into three steps to realize, and first step gathers phantom projection data; Second step reads this data for projection in two-dimensional array, exports the value of each point in three dimensions; 3rd step, observing the Distribution value of each point in three-dimensional region, finds out whether this imaging meets clinical demand intuitively.
Principle of the present invention is: this body mould is the aluminum ladder of a circular different-thickness, after ray passes, leave the image of different brightness, this image is mapped to three-dimension space image, show each image pixel accurately, the angle in rotated three dimensional space, from different directions, Different Plane watches imaging performance, be recorded as the parameter of picture, reach and evaluate this X-ray machine imaging performance accurately.
Compared with prior art, its remarkable advantage is in the present invention:
1, show each pixel of image accurately simultaneously.
2, the index artificially guessing imaging is avoided.
3, can different angles, Different Plane watches imaging performance.
4, intuitive analysis image quality.
Accompanying drawing explanation
Fig. 1 is the flow chart of the inventive method.
Fig. 2 is die body structure chart.
Fig. 3 is phantom projection datum plane figure.
Detailed description of the invention
With reference to accompanying drawing, after this software reading images, the brightness value of each image stored in a two-dimensional array, the value of each point is exported in three dimensions, the width of three-dimensional X-axis representative image, the height of z-axis representative image, the brightness value of y-axis representative image, color respectively with different is (yellow, blue, green, red, pink) represent brightness range, as figure (4), this figure is a foot of patient's shooting when checking, can see that the brightness value at bone position concentrates between yellow and blueness intuitively, muscular tissue parts brightness value concentrates between green and redness, air portion is divided and is concentrated on pink region, thus reach a conclusion, this X-ray machine device imaging performance is qualified.
Analyzed by embodiment, during inspection, there will be following several situation:
1, image brightness values all concentrates on the lower curtate of yellow area, does not have emergent ray when shooting is described.
2, brightness of image has taken yellow area, and also there is value blue region, have ray, but transmitted intensity is weak, need regulate the parameter of ray when shooting is described, or changes radiographic source.
3, image brightness values is distributed in blue region, green area, part red green region, and when shooting is described, image forming medium conversion efficiency is low, and under normal circumstances, image brightness values should be distributed in red area.
4, the aluminum medium of different-thickness, presents stepped pattern, is distributed in the region of each color, illustrates that this machine imaging effect is qualified.

Claims (3)

1. an X-ray machine imaging performance detection method, adopt the aluminum ladder die body of semicircle different-thickness, analyze data for projection, it is characterized in that, the method is divided into three steps to realize, and first step gathers phantom projection data; Second step reads this data for projection in two-dimensional array, exports the value of each point in three dimensions; 3rd step, observing the Distribution value of each point in three-dimensional region, finds out whether this imaging meets clinical demand intuitively.
2. X-ray machine imaging performance detection method according to claim 1, is characterized in that: whether identically with standard echelon brightness analyze corresponding ladder brightness range, if there is difference, regulates ray parameter or changes radiographic source or change image forming medium.
3. X-ray machine imaging performance detection method according to claim 1, is characterized in that: adopt tripleplane's technology, analysis chart image brightness distribution intuitively, with or without clear and definite separation between the brightness of each level.
CN201310236086.3A 2013-06-17 2013-06-17 X-ray machine imaging performance detection method Pending CN104224206A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310236086.3A CN104224206A (en) 2013-06-17 2013-06-17 X-ray machine imaging performance detection method

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Application Number Priority Date Filing Date Title
CN201310236086.3A CN104224206A (en) 2013-06-17 2013-06-17 X-ray machine imaging performance detection method

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CN104224206A true CN104224206A (en) 2014-12-24

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107854132A (en) * 2017-11-07 2018-03-30 四川中测辐射科技有限公司 A kind of x-ray imaging Contrast Detection plate
CN107948637A (en) * 2017-12-14 2018-04-20 上海联影医疗科技有限公司 A kind of die body picture quality detection method and system

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CN1885347A (en) * 2006-07-06 2006-12-27 上海交通大学 Method of employing dynamic digital model to detect CT Angiography reconstruction algorithm performance
CN2912518Y (en) * 2006-05-23 2007-06-20 董海斌 Test aluminium ladder for X-ray photograph
US20070200058A1 (en) * 2002-02-06 2007-08-30 Caliper Life Sciences, Inc. Fluorescent phantom device
WO2012129724A1 (en) * 2011-03-30 2012-10-04 通用电气公司 Method and device for automatically detecting brightness based on image content
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Patent Citations (7)

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Publication number Priority date Publication date Assignee Title
CN2298775Y (en) * 1997-06-12 1998-12-02 北京市卫生防疫站 Imaging performance detecting model of CT machine
US20070200058A1 (en) * 2002-02-06 2007-08-30 Caliper Life Sciences, Inc. Fluorescent phantom device
US20050077459A1 (en) * 2003-02-19 2005-04-14 Engler Mark J. Radiation phantom
CN2912518Y (en) * 2006-05-23 2007-06-20 董海斌 Test aluminium ladder for X-ray photograph
CN1885347A (en) * 2006-07-06 2006-12-27 上海交通大学 Method of employing dynamic digital model to detect CT Angiography reconstruction algorithm performance
WO2012129724A1 (en) * 2011-03-30 2012-10-04 通用电气公司 Method and device for automatically detecting brightness based on image content
CN202724466U (en) * 2012-07-20 2013-02-13 武汉大学 CBCT machine imaging performance detection die body

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Title
刘文等: "铝梯在诊断X射线设备中的监测研究", 《中国医疗设备》 *
张遣: "通过屏幕监测获取数字化X射线照片密度的方法", 《生物医学工程与临床》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107854132A (en) * 2017-11-07 2018-03-30 四川中测辐射科技有限公司 A kind of x-ray imaging Contrast Detection plate
CN107854132B (en) * 2017-11-07 2020-07-14 四川中测辐射科技有限公司 X-ray imaging contrast detection plate
CN107948637A (en) * 2017-12-14 2018-04-20 上海联影医疗科技有限公司 A kind of die body picture quality detection method and system

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Address after: 211112 Jiangning, Jiangsu Province, open source road, No. 168, No.

Applicant after: NANJING PERLOVE MEDICAL EQUIPMENT CO., LTD.

Address before: 211112 Jiangning, Jiangsu Province, open source road, No. 168, No.

Applicant before: Nanjing Perlove Radial-video Equipment Co., Ltd.

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Application publication date: 20141224