CN104732086A

CN104732086A - Computer-assisted disease detection system based on cloud computing

Info

Publication number: CN104732086A
Application number: CN201510128159.6A
Authority: CN
Inventors: 刘远明
Original assignee: Zhi Ying Medical Science And Technology Co Ltd Of Shenzhen
Current assignee: Zhi Ying Medical Science And Technology Co Ltd Of Shenzhen
Priority date: 2015-03-23
Filing date: 2015-03-23
Publication date: 2015-06-24

Abstract

A method adopts a computer-assisted detection (or diagnosis) (CAD) system based on the cloud computing environment for diagnostic medical, thereby being capable of improving the diagnosis efficiency. The method includes the steps that image data are generated through a diagnosis medical imaging and collection system; the image data are sent to the computer-assisted detection (or diagnosis) (CAD) system at the cloud end from the diagnosis medical imaging and collection system via a file storage/audit work station connected with the Internet. The CAD system under the cloud computing environment is utilized to process the image data and generates detection results, and meanwhile the image data are stored and browsed on the file storage/audit work station; the detection results are transmitted to the file storage/audit work station from the CAD system through the Internet, in addition, the detection results are integrated with the image data through the file storage/audit work station, and then data of composite images are formed. The data of the composite images can be displayed in a file storage/audit work station system and provide detection or diagnosis assistance for doctors.

Description

Based on the disease computer-aided detection system of cloud computing

1. technical field

Implementation method of the present invention be on the basis not destroying current clinical workflow by computer aided detection (or diagnosis) (CAD) system integration in diagnostic medical environment.

2. background technology

Successfully detect that cancer cell can increase healing probability at the commitment of cancer.For cancer-lung cancer that current global morbidity rate is the highest, the canceration Lung neoplasm in diagnosis and detection chest radiography is the task that radiologist is most important and difficult.Relying on radiologist oneself to find early carcinomatous change tissue in radiographs, is so far, finds the most important diagnostic mode of early stage of lung cancer tumour hidden clinically.But for detection small pulmonary artery, the mistakes and omissions rate of radiograph technology is very high.

Eye by mistake (mistake) causes these affected parts by the main cause of mistakes and omissions, may be because the interference of affected part lesser tubercle surrounding anatomic background, or the subjective thinking of radiologist is different with discrimination standard thus lead to errors.Misreading of X-ray photograph may also have other many reasons, comprises and lacks clinical information, disturb by other abnormal condition, etc.But according to looking back X-ray photograph in the past, most of peripheral lung cancer lesser tubercle is visible.Therefore create a kind of demand, use automated manner and system to carry out processing X-ray photo electronic image and warn the small pulmonary artery region that (prompting) radiologist finds high likelihood.Find that early stage lung cancer lesser tubercle conspicuousness can improve the survival rate of patients with lung cancer by radiological measuring.

Automatic system and mode can reduce false negative diagnoses, can be located by rib by its function, the nodular existence that bronchus blood vessel and other anatomical structures on X-ray photograph are covered, therefore can allow lung's cancer cell and unstable lesser tubercle earlier precisely be detected.

Up to now, all CAD system are all or are installed in a hardware device or a client server environment.The present invention is first CAD system being used in cloud computing environment, and user can upload images, and the CAD system then in cloud can process image and generate result, and last directly transmission testing result is to user.

3. summary of the invention

The present invention includes: by diagnostic medical imaging acquisition system image data generating; This view data is sent to computer aided detection (or diagnosis) (CAD) system and file/examination station from diagnostic medical imaging acquisition system.Generate testing result by view data described in CAD system process, storage and browse this view data on files/examination station simultaneously; Testing result is transferred to file/examination station from CAD system, and testing result is integrated by file/examination station and this view data, forms composograph data.These composograph data can be shown as doctor in file examination station system and provide auxiliary detection/diagnosis.

The invention process provides a kind of method, goes to improve diagnostic work efficiency by utilizing computer aided detection (or diagnosis) (CAD) ability in diagnostic medical environment.

4. accompanying drawing explanation

Fig. 1 shows diagnostic medical imaging acquisition system and a file/examination station and the schematic block diagram of medical diagnosis environment in conjunction with computer aided detection (or diagnosis) (CAD) system.

CAD cloud computing integral frame comprise based on cloud WEB server and be arranged on application software (" APP ") on each user's smart mobile phone, as Fig. 1.This WEB server has also attached the CAD database including dynamic content and static information.This WEB server also close to the image information received in real time from online user, and processes these images, and CAD result is distributed to smart phone user.The positional information that smart phone user also sends him returns to WEB server.

Fig. 2 is by diagnostic medical environment or the clinical workflow schematic block diagram in conjunction with the server zone of computer aided detection (or diagnosis) (CAD) according to the invention process method.

Fig. 3 is the server zone being described in Fig. 2 under diagnostic medical environment based on the invention process method.Server zone comprises portal site server, its access control server, image-receptive server, DICOM processing server, image cleaning service device.

5. embodiment

Fig. 1 illustrates the overall cloud structure of CAD system.Web page server group is positioned in cloud and CAD server zone is connected with CAD database.User can pass through i Phone, and dull and stereotyped, image storage server, diagnostic workstation, the PACS in hospital sends image.Web page server can receive image and run CAD calculation procedure to process image.The CAD result generated afterwards can be sent to CAD database.CAD database.Last web page server sends testing result to user.

Fig. 2 identifies the cloud computing workflow after simplification.First user uploads images onto cloud, and the CAD system group then in cloud processes image, finally sends result to user.

Fig. 3 describes the server zone in the medical diagnosis environment in Fig. 2.Server zone comprises portal website, and it can access control server, and image-receptive server, DICOM processing server, image cleans n server.Image-receptive server can receive the notice that image successfully receives.DICOM header and META data can be read after DICOM processing server and obtain necessary image information, such as image size, as several size, gray shade scale, bit depth, etc.

Image cleaning service device meeting check image size, bit depth detects these parameters and whether meets the requirement carrying out processing.If they do not reach requirement, this image will be rejected then user and can be informed to.If image is not rejected, image will be transferred to CAD server.The automatic diagnosis and detection calculation procedure that CAD server will perform cancer carrys out automatic identification cancerous issue and marks lesion region, provides relevant parameter, such as size, possibility, girth etc. simultaneously.Testing result and original image can be saved to temporary data service device.Large data analysis can be connected with CAD server, testing result before and similar testing result, the position characteristic of cancer, diagnostic comments when doctor uses CAD to diagnose, electric health record, the history case history of patient all can be received by large data analysis and process.Large data analytics server can be connected with the database of user, and the information simultaneously integrating user enters CAD result.Image database server can be connected with Analysis server, comprises all data, such as image, word, diagnostic message, etc.Analysis result also can be passed back CAD server.CAD result can be converted into DICOM form in DICOM generation server.

Once DICOM result is generated, Output rusults server will be stored in.A record server can be linked network and be used for recording amount of images, user profile and processed analysis result.Messenger server can be used for allowing user they inquire about the state of uploaded result.Messenger server can be used for sending mail, note, or other social networks mechanism, such as Facebook, micro-letter, QQ, etc.Network security system can guarantee the safety and stability of whole server zone.Finally, have access control server and allow user, keeper, and supplier visits themselves domain name or account number is monitored and reception result.

Claims

1. a kind of method under diagnostic medical cloud computing environment, effectively be integrated in the workflow of described cloud computing environment by computer aided detection (CAD), described method comprises: view data is sent in the file/examination station of the computer aided detection of at least one cloud computing environment (or diagnosis) (CAD) system and at least one from least one diagnostic medical imaging acquisition system; By utilizing above-mentioned CAD system image data processing and finding the exception in view data, generate computer aided detection result, meanwhile, at least in above-mentioned a kind of system and storage and browse above-mentioned view data on one files/examination station; Above computer auxiliary detection result is transferred at least above-mentioned a kind of system and a file/examination station from the CAD system of above-mentioned connecting Internet cloud computing, wherein, the view data of above-mentioned transmission and the computer aided detection result of above-mentioned transmission all have employed DICOM form, and above-mentioned at least one diagnostic medical image acquisition system and above-mentioned CAD system, and above-mentioned at least one file/examination is connected by internet between station.

2. claim 1 also comprises the described view data generated by above-mentioned at least one diagnostic medical image capturing system.

3. claim 1 also comprises and integrating above-mentioned view data and above computer auxiliary detection result, utilizes above-mentioned at least one file/examination to stand in cloud computing environment and generates composograph data.

4. claim 3 also comprises and utilizes above-mentioned at least one file/examination station to show above-mentioned composograph data.

5. in claim 3, above computer auxiliary diagnosis result identifies out in above-mentioned composograph data by least one mode in word, arrow, geometrical symbol and color.

6. claim 1 supports DICOM agreement under being also included in described internet environment.

7. in claim 1, at least by x-ray system, CT system, ultrasonic system, MR system, film scanner device and PET system, one of them forms described at least one diagnostic medical image capturing system.

8. described CAD system is pre-configured with the view data identifying and process some type in claim 1.

9. claim 1 also comprise use described CAD system verify the specific identifier symbol that above-mentioned view data is associated.

10. in claims 9 described unique identifier at least originated by view data, Anatomic Types and anatomic view one of them form.