CN106845065A - The processing method and processing device of medical imaging data - Google Patents

The processing method and processing device of medical imaging data Download PDF

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Publication number
CN106845065A
CN106845065A CN201611058726.6A CN201611058726A CN106845065A CN 106845065 A CN106845065 A CN 106845065A CN 201611058726 A CN201611058726 A CN 201611058726A CN 106845065 A CN106845065 A CN 106845065A
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image
data
medical imaging
module
extended function
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CN106845065B (en
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袁孟全
谢龙珠
杨通钰
杨勇
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Guiyang Longmaster Information and Technology Co ltd
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Guiyang Longmaster Information and Technology Co ltd
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  • Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
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Abstract

The invention discloses a kind of processing method and processing device of medical imaging data.In the above-mentioned methods, server receives the medical imaging source data for coming from client upload;Server calls extended function module is parsed using the parsing module of DCMTK Development Frameworks to medical imaging source data, and will be parsed the view data for obtaining and be stored;View data conversion is generated jpg pictures by server calls extended function module come the modular converter for using DCMTK Development Frameworks;The image processing function imagick of server calls extended function module carries out the compression treatment of image to jpg pictures.According to the technical scheme that the present invention is provided, in server side, view data conversion is generated jpg pictures, realizes the first compression that dcm files change JPG by server calls extended function module come the modular converter for using DCMTK Development Frameworks;Second-compressed is carried out to image using imagick, document quality has been reached clearly and the technique effect of file size reduction.

Description

The processing method and processing device of medical imaging data
Technical field
The present invention relates to the communications field, in particular to a kind of processing method and processing device of medical imaging data.
Background technology
With the development of modern medical service level and Medical Imaging, increasing auxiliary diagnosis equipment application is examined to medical treatment In disconnected and auxiliary treatment, the mechanical, electrical sub- computed tomography of such as X-ray machine, Doppler's color ultrasound (Computed Tomography, Referred to as CT) machine, magnetic resonance imaging (Magnetic Resonance Imaging, referred to as MRI) etc..
, it is necessary to by the medical image file CT of patient in Telemedicine work, MRI, X-ray etc. is converted into medical science Image file, cloud server is uploaded to by internet.Doctor remotely receives via internet and comes from cloud server Medical image file.
The substantial amounts of memory space of server can be taken yet with the medical imaging file that cloud server is received, and These initial image files are pushed into client can also consume a longer time.
The content of the invention
It is a primary object of the present invention to disclose a kind of processing method and processing device of medical imaging data, at least to solve The medical imaging file that cloud server is received in correlation technique can take the substantial amounts of memory space of server, and by these Initial image file pushes to the problem that client can also be consumed a longer time.
According to an aspect of the invention, there is provided a kind of processing method of medical imaging data.
The processing method of medical imaging data of the invention includes:Server receives the doctor for coming from client upload Treat image source data;The server calls extended function module uses the parsing module of DCMTK Development Frameworks to the doctor Treat image source data to be parsed, and the view data for obtaining will be parsed and stored;The server calls expanded function mould Described image data conversion is generated jpg pictures by block come the modular converter for using the DCMTK Development Frameworks;The server is adjusted The compression treatment of image is carried out to the jpg pictures with the image processing function imagick of extended function module.
Preferably, the server calls extended function module image processing module imagick to the jpg pictures Before carrying out the compression treatment of image, also include:The server calls extended function module is sent out to the DCMTK Development Frameworks Data check is sent to ask;The DCMTK Development Frameworks receive the data detection request for coming from the extended function module, The integrality of the view data after verification compression treatment, and check results are fed back into the extended function module.
According to another aspect of the present invention, there is provided a kind of processing method of medical imaging data.
The processing method of medical imaging data of the invention, including:Client is received and comes from including for server There is the medical imaging file of view data, wherein, described image data are the image of the server calls extended function module Treatment function imagick carries out the data after image Compression;The client call data load-on module is to needing display Medical imaging file loaded and processed after, call view binding module will be needed on interface present element deposited Storage;The client call image conversion module carries out image loading and decompression to medical imaging file.
Preferably, the client call image conversion module is carried out at image loading and decompression to medical imaging file Reason includes:The transimage functions of the client call image conversion module are added the image file that base64 is encoded Carry;The Imageinfo functions of the client call described image modular converter obtain minimum image gray scale and maximum image ash Degree, and call str2ab functions to convert the image into the pixel data of predetermined figure.
Preferably, the client call image conversion module is carried out at image loading and decompression to medical imaging file After reason, also include:The client calls the H5 painting canvas to carry out Image Rendering by views module.
According to another aspect of the invention, there is provided a kind of processing unit of medical imaging data.
The processing unit of medical imaging data of the invention includes:First receiving unit, visitor is come from for receiving The medical imaging source data that family end uploads;Resolution unit, the solution of DCMTK Development Frameworks is used for calling extended function module Analyse module to parse the medical imaging source data, and the view data for obtaining will be parsed and stored;Converting unit, uses Use the modular converter of the DCMTK Development Frameworks that described image data conversion is generated into jpg in extended function module is called Picture;Compression unit, the image processing function imagick for calling extended function module carries out image to the jpg pictures Compression treatment.
Preferably, said apparatus also include:Transmitting element, for calling extended function module to develop frame to the DCMTK Frame sends data check request;Verification unit, the data detection request of the extended function module is come from for receiving, The integrality of the view data after verification compression treatment, and check results are fed back into the extended function module.
In accordance with a further aspect of the present invention, there is provided a kind of processing unit of medical imaging data.
The processing unit of medical imaging data of the invention includes:Second receiving unit, clothes are come from for receiving The medical imaging file for including view data of business device, wherein, described image data are the server calls expanded function The image processing function imagick of module carries out the data after image Compression;Processing unit, for calling data to load mould After block is loaded and processed to the medical imaging file for needing display, view binding module is called to need what is presented on interface Element is stored;Decompression units, for calling image conversion module to carry out image loading and decompression to medical imaging file Treatment.
Preferably, the decompression units include:Loading subelement, the transimage letters for calling image conversion module Number is loaded the image file that base64 is encoded;Conversion subunit is obtained, for calling described image modular converter Imageinfo functions obtain minimum image gray scale and maximum image gray scale, and it is predetermined to call str2ab functions to convert the image into The pixel data of digit.
Preferably, said apparatus also include:Image Rendering unit, for calling the H5 painting canvas to carry out image by views module Draw.
Compared with prior art, the embodiment of the present invention at least has advantages below:In server side, server calls extension Described image data conversion is generated jpg pictures by functional module come the modular converter for using the DCMTK Development Frameworks, is realized Dcm files change the first compression of JPG;Second-compressed is carried out to image using imagick, reached document quality it is clear and The technique effect of the size reduction of file.
Brief description of the drawings
Fig. 1 is the flow chart of the processing method of according to embodiments of the present invention one medical imaging data;
Fig. 2 is the flow chart of the processing method of according to embodiments of the present invention two medical imaging data;
Fig. 3 is the flow chart of the processing method of medical imaging data according to the preferred embodiment of the invention;
Fig. 4 is the structured flowchart of the processing unit of according to embodiments of the present invention one medical imaging data;
Fig. 5 is the structured flowchart of the processing unit of according to embodiments of the present invention one medical imaging data;
Fig. 6 is the structured flowchart of the processing unit of according to embodiments of the present invention two medical imaging data;And
Fig. 7 is the structured flowchart of the processing unit of the medical imaging data according to the preferred embodiment of the present invention two.
Specific embodiment
Specific implementation of the invention is made a detailed description with reference to Figure of description.
Fig. 1 is the flow chart of the processing method of according to embodiments of the present invention one medical imaging data.As shown in figure 1, should The processing method of medical imaging data includes:
Step S101:Server receives the medical imaging source data for coming from client upload;
Step S103:Above-mentioned server calls extended function module uses the parsing module of DCMTK Development Frameworks to upper State medical imaging source data to be parsed, and the view data for obtaining will be parsed and stored;
Step S105:Above-mentioned server calls extended function module uses the modular converter of above-mentioned DCMTK Development Frameworks By above-mentioned view data conversion generation jpg pictures;
Step S107:The image processing function imagick of above-mentioned server calls extended function module is to above-mentioned jpg pictures Carry out the compression treatment of image.
Wherein, DICOM is the international standard of medical image storage and transmission, and DCMTK is freely increased income for DICOM marks Accurate kit.Understand DICOM file form and solve the basis that DICOM medical image display problems are Medical Image Processings, Research to Medical Imaging Technology is significant.
Using the method shown in Fig. 1, in server side, server calls extended function module is opened using above-mentioned DCMTK The modular converter of framework is sent out by above-mentioned view data conversion generation jpg pictures, the first compression that dcm files change JPG is realized; Second-compressed is carried out to image using imagick, document quality has been reached clearly and the technique effect of the size reduction of file.
Preferably, step S107 server calls extended function module image processing module imagick to above-mentioned Before jpg pictures carry out the compression treatment of image, following treatment can also be included:Above-mentioned server calls extended function module to Above-mentioned DCMTK Development Frameworks send data check request;Above-mentioned DCMTK Development Frameworks are received and come from above-mentioned extended function module The request of above-mentioned data detection, check results and feed back to above-mentioned expansion by the integrality of the view data after verification compression treatment Exhibition functional module;Above-mentioned extended function module stores the view data after above-mentioned compression treatment in the case where upchecking.
Fig. 2 is the flow chart of the processing method of according to embodiments of the present invention two medical imaging data.As shown in Fig. 2 should The processing method of medical imaging data includes:
Step S201:Client receives the medical imaging file for including view data for coming from server, wherein, on After stating the image processing function imagick that view data is above-mentioned server calls extended function module and carrying out image Compression Data;
Step S203:Above-mentioned client call data load-on module to need display medical imaging file carry out loading and After treatment, call view binding module that the element for presenting will be needed to be stored on interface;
Step S205:Above-mentioned client call image conversion module carries out image loading and decompression to medical imaging file Treatment.
In client-side, client receives the medical imaging file for including view data for coming from server, wherein, Above-mentioned view data is that the image processing function imagick of above-mentioned server calls extended function module carries out image Compression Data afterwards.Above-mentioned client call image conversion module medical imaging file is carried out image loading and decompression it Afterwards, medical imaging file can be presented.Second-compressed is carried out to image using imagick, document quality has been reached clear The technique effect of clear and file size reduction.
Preferably, above-mentioned client call image conversion module is carried out at image loading and decompression to medical imaging file Reason includes:The transimage functions of above-mentioned client call image conversion module are added the image file that base64 is encoded Carry;The Imageinfo functions of the above-mentioned above-mentioned image conversion module of client call obtain minimum image gray scale and maximum image ash Degree, and call str2ab functions to convert the image into the pixel data of predetermined figure (for example, 8).
Preferably, above-mentioned client call image conversion module is carried out at image loading and decompression to medical imaging file After reason, also include:Above-mentioned client calls the H5 painting canvas to carry out Image Rendering by views module.
Above-mentioned preferred embodiment is further described below in conjunction with Fig. 3.
Fig. 3 is the flow chart of the processing method of medical imaging data according to the preferred embodiment of the invention.As shown in figure 3, The processing method of the medical imaging data includes:
Step S301:Server receives the medical imaging source data for coming from client upload, extended function module DCM_ EXT gathered datas.
Step S303:Server calls extended function module DCM_EXT extensions carry out image file using dcmtoxml Parsing.
Step S305:Parse and by view data (base64 codings) storage in image file to xml document.
Step S307:View data is returned into extended function module DCM_EXT.
Step S309:Image file is used JEPG standards by DCM_EXT by the dcmtojpeg modules in DCMTK frameworks Compressing image data generates jpg pictures.
Step S311:Extended function module DCM_EXT sends data check and asks to give DCMTK frameworks.
Step S313:The integrality of DCMTK framework inspection datas.
Step S315:DCMTK framework back-checking results.
Step S317:The image processing function imagick that calls of DCM_EXT carries out the compression of image to above-mentioned jpg pictures Treatment, and store compressed file.Second-compressed is carried out to image using imagick, document quality has been reached clearly and file Size reduction technique effect.
During being preferable to carry out, imagick is mainly included the following steps that to the compression process of jpg:
Step 1, color mode conversion:The data structure conversion of YUV color modes is carried out to jpg pictures first, is converted Data sampling is carried out after;
Wherein, YUV is a kind of colour coding method (belonging to PAL) used by television system, is PAL and SECAM moulds Intend the color space that colour television standard is used.
Step 2, dct transform:The data separating sampled out is gone out into high and low frequency information, high-frequency information is entered into line translation, Obtain a floating number for coefficient of frequency type;
Step 3, quantifies floating number:The floating number that will be obtained carries out quantization and is converted to integer;
Step 4, coding:The integer that will be converted to is encoded;
4 steps more than, compressions of the imagick to jpg pictures is just completed.
Fig. 4 is the structured flowchart of the processing unit of according to embodiments of the present invention one medical imaging data.As shown in figure 4, The processing unit of the medical imaging data includes:First receiving unit 40, the medical shadow of client upload is come from for receiving Image source data;Resolution unit 42, the parsing module of DCMTK Development Frameworks is used for calling extended function module to above-mentioned doctor Treat image source data to be parsed, and the view data for obtaining will be parsed and stored;Converting unit 44, for calling extension work( The conversion of above-mentioned view data is generated jpg pictures by energy module come the modular converter for using above-mentioned DCMTK Development Frameworks;Compression unit 46, the image processing function imagick for calling extended function module carry out the compression treatment of image to above-mentioned jpg pictures.
Above-mentioned processing unit can be arranged at server end, and it is above-mentioned to use that converting unit 44 calls extended function module Above-mentioned view data conversion generation jpg pictures are realized the one of dcm files conversion JPG by the modular converter of DCMTK Development Frameworks Second compression;Compression unit 46 carries out second-compressed using imagick to image, has reached document quality clear and file big The technique effect of small reduction.
Preferably, as shown in figure 5, the processing unit of the medical imaging data can also include:Transmitting element 48, with conversion Unit 44 is connected, and is asked for calling extended function module to send data check to above-mentioned DCMTK Development Frameworks;Verification unit 50, it is connected with transmitting element 48 and compression unit 46, the above-mentioned data inspection of above-mentioned extended function module is come from for receiving Request, the integrality of the view data after verification compression treatment are tested, and check results are fed back into above-mentioned extended function module.
Fig. 6 is the structured flowchart of the processing unit of the medical imaging data according to the preferred embodiment of the present invention two.Such as Fig. 6 institutes Show, the processing unit of the medical imaging data includes:Second receiving unit 60, for receive come from server include figure As the medical imaging file of data, wherein, above-mentioned view data is the image procossing of above-mentioned server calls extended function module Function imagick carries out the data after image Compression;Processing unit 62, for calling data load-on module to needing display Medical imaging file loaded and processed after, call view binding module will be needed on interface present element deposited Storage;Decompression units 64, for calling image conversion module to carry out image loading and decompression to medical imaging file.
Above-mentioned processing unit can be arranged at client-side, and the second receiving unit 60 is received and comes from including for server The medical imaging file of view data, wherein, above-mentioned view data is at the image of above-mentioned server calls extended function module Reason function imagick carries out the data after image Compression.Decompression units 64 call image conversion module to medical imaging text Part is carried out after image loading and decompression, medical imaging file can be presented.Image is entered using imagick Row second-compressed, has reached document quality clearly and the technique effect of the size reduction of file.
Preferably, as shown in fig. 7, above-mentioned decompression units 64 may further include:Loading subelement 640, for calling The transimage functions of image conversion module are loaded the image file that base64 is encoded;Conversion subunit 642 is obtained, Imageinfo functions for calling above-mentioned image conversion module obtain minimum image gray scale and maximum image gray scale, and call Str2ab functions convert the image into the pixel data of predetermined figure (for example, 8).
Preferably, as shown in fig. 7, said apparatus can also include:Image Rendering unit 66, for being adjusted by views module Image Rendering is carried out with H5 painting canvas.
In sum, above-described embodiment for being provided by the present invention, in server side, server calls extended function module Described image data conversion is generated jpg pictures by the modular converter to use the DCMTK Development Frameworks, realizes dcm files Change the first compression of JPG;Second-compressed is carried out to image using imagick, document quality has been reached clear and file The technique effect of size reduction.In practice, 10-30 times of size can be effectively reduced by compressed images, be more beneficial for moving Moved end is checked.Solving the medical imaging file that cloud server in correlation technique receives can take the substantial amounts of storage of server Space, and these initial image files are pushed into the problem that client can also be consumed a longer time.
Disclosed above is only several specific embodiments of the invention, but, the present invention is not limited to this, any ability What the technical staff in domain can think change should all fall into protection scope of the present invention.

Claims (10)

1. a kind of processing method of medical imaging data, it is characterised in that including:
Server receives the medical imaging source data for coming from client upload;
The server calls extended function module uses the parsing module of DCMTK Development Frameworks to medical imaging source number According to being parsed, and the view data for obtaining will be parsed stored;
The server calls extended function module uses the modular converter of the DCMTK Development Frameworks by described image data Conversion generation jpg pictures;
The image processing function imagick of the server calls extended function module carries out the pressure of image to the jpg pictures Contracting is processed.
2. method according to claim 1, it is characterised in that the image procossing of the server calls extended function module The compression treatment that function imagick carries out image to the jpg pictures includes:
Carry out the data structure conversion of YUV color modes to the jpg pictures, and to converting after data carry out data and adopt Sample;
The data separating sampled out is gone out into high-frequency information and low-frequency information, the high-frequency information is entered into line translation, obtain a frequency The floating number of rate coefficient type;
The floating number that will be obtained is quantified, and is converted to integer;
The integer that will be converted to carries out coded treatment.
3. method according to claim 1, it is characterised in that at the image of the server calls extended function module Before reason module imagick carries out the compression treatment of image to the jpg pictures, also include:
The server calls extended function module sends data check and asks to the DCMTK Development Frameworks;
The DCMTK Development Frameworks receive the data detection request for coming from the extended function module, at verification compression The integrality of the view data after reason, and check results are fed back into the extended function module.
4. a kind of processing method of medical imaging data, it is characterised in that including:
Client receives the medical imaging file for including view data for coming from server, wherein, described image data are The image processing function imagick of the server calls extended function module carries out the data after image Compression;
After the client call data load-on module is loaded and processed to the medical imaging file for needing display, call and regard Figure binding module will need the element for presenting to be stored on interface;
The client call image conversion module carries out image loading and decompression to medical imaging file.
5. the method according to right wants 4, it is characterised in that the client call image conversion module is to medical imaging text Part carries out image loading and decompression to be included:
The transimage functions of the client call image conversion module are loaded the image file that base64 is encoded;
The Imageinfo functions of the client call described image modular converter obtain minimum image gray scale and maximum image ash Degree, and call str2ab functions to convert the image into the pixel data of predetermined figure.
6. method according to claim 4, it is characterised in that the client call image conversion module is to medical imaging File is carried out after image loading and decompression, is also included:The client calls the H5 painting canvas to carry out by views module Image Rendering.
7. a kind of processing unit of medical imaging data, it is characterised in that including:
First receiving unit, the medical imaging source data of client upload is come from for receiving;
Resolution unit, the parsing module of DCMTK Development Frameworks is used for calling extended function module to the medical imaging Source data is parsed, and will be parsed the view data that obtains and be stored;
Converting unit, the modular converter of the DCMTK Development Frameworks is used for calling extended function module by described image Data conversion generates jpg pictures;
Compression unit, the image processing function imagick for calling extended function module carries out image to the jpg pictures Compression is processed.
8. device according to claim 7, it is characterised in that also include:
Transmitting element, asks for calling extended function module to send data check to the DCMTK Development Frameworks;
Verification unit, the data detection request of the extended function module is come from for receiving, after verification compression treatment View data integrality, and check results are fed back into the extended function module.
9. a kind of processing unit of medical imaging data, it is characterised in that including:
Second receiving unit, the medical imaging file for including view data of server is come from for receiving, wherein, it is described View data be the server calls extended function module image processing function imagick carry out image Compression after Data;
Processing unit, after calling data load-on module to load and process the medical imaging file for needing display, adjusts The element for presenting will be needed with view binding module to be stored on interface;
Decompression units, for calling image conversion module to carry out image loading and decompression to medical imaging file.
10. device according to claim 9, it is characterised in that
The decompression units include:
Loading subelement, the image file that the transimage functions for calling image conversion module encode base64 is carried out Loading;And
Obtain conversion subunit, for call described image modular converter Imageinfo functions obtain minimum image gray scale and Maximum image gray scale, and call str2ab functions to convert the image into the pixel data of predetermined figure;
Described device also includes:Image Rendering unit, for calling the H5 painting canvas to carry out Image Rendering by views module.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107368690A (en) * 2017-08-09 2017-11-21 贵阳朗玛信息技术股份有限公司 The preprocess method and device of medical image picture

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103908276A (en) * 2012-12-29 2014-07-09 北京握奇数据系统有限公司 Multilayer volume computed tomography (CT) perfusion imaging source image automatic subtraction processing method
CN106055881A (en) * 2016-05-25 2016-10-26 中国科学院苏州生物医学工程技术研究所 Cloud platform for medical data processing

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103908276A (en) * 2012-12-29 2014-07-09 北京握奇数据系统有限公司 Multilayer volume computed tomography (CT) perfusion imaging source image automatic subtraction processing method
CN106055881A (en) * 2016-05-25 2016-10-26 中国科学院苏州生物医学工程技术研究所 Cloud platform for medical data processing

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
吕晓琪,等.: "基于DCMTK实现DICOM医学影像文件与常见格式的转换", 《实用放射学杂志》 *
康亚冰,等.: "基于Qt和DCMTK的DICOM浏览器的开发", 《中国医疗设备》 *
张咏,等.: "《地震现场应急通信技术系统及装备》", 31 October 2003 *
徐萍.: "基于JPEG的感兴趣图像区域压缩算法的设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *
翟争峯.: "医学影像三维重建系统的研究与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107368690A (en) * 2017-08-09 2017-11-21 贵阳朗玛信息技术股份有限公司 The preprocess method and device of medical image picture
CN107368690B (en) * 2017-08-09 2022-01-18 贵阳朗玛信息技术股份有限公司 Medical image picture preprocessing method and device

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