CN2868194Y - X-rayimage mammary gland symptom auto-identifying device - Google Patents
X-rayimage mammary gland symptom auto-identifying device Download PDFInfo
- Publication number
- CN2868194Y CN2868194Y CN 200520066632 CN200520066632U CN2868194Y CN 2868194 Y CN2868194 Y CN 2868194Y CN 200520066632 CN200520066632 CN 200520066632 CN 200520066632 U CN200520066632 U CN 200520066632U CN 2868194 Y CN2868194 Y CN 2868194Y
- Authority
- CN
- China
- Prior art keywords
- electrically connected
- function key
- circuit board
- digital signal
- signal processor
- Prior art date
- Legal status (The legal status 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 status listed.)
- Expired - Fee Related
Links
Images
Landscapes
- Apparatus For Radiation Diagnosis (AREA)
Abstract
This utility model relates to a X-ray image device for automatic identification of mastopathy characteristics. The device comprises a liquid crystal display, a housing, a panel, a connecting cable, a power switch, function keys and a circuit board; wherein, the power switch, the liquid crystal display and the function keys are electrically connected to the circuit board, one end of the connecting cable is electrically connected to the circuit board and the other end of the connecting cable is electrically connected to a X-ray machine or a CT scanner through a preformed hole on the side of the housing. The utility model increases the diagnostic efficiency and accuracy ratio of mastopathy, by automatically analyzing the real time X-ray image and identifying the mastopathy characteristics.
Description
Technical field
This utility model relates to a kind of breast symptom feature automatic identification equipment of x-ray image.
Background technology
Comprise that the breast disease sickness rate of breast carcinoma is the trend of continuous rising in nearly decades, western countries have required the women regularly to do the breast X-ray inspection.The mammary X-ray mammography for diagnosing is one of the most frequently used breast examination means, and the breast X-ray sheet mainly is the microcalciffcation that shows focus, and the characteristics of image of calcification is to analyze and diagnose mastotic important evidence.The visible calcification of 41%～48% breast carcinoma, and the calcification incidence rate of intraductal carcinoma is up to 90%, also visible calcification such as benign lesion such as sclerosing adenosis, mammary dysplasia, hamartoma, radioactivity cicatrix, Fibrocystic disease, fibroadenoma.
The reason of mammary gland calcification it be unclear that, and it is generally acknowledged relevant with the secretion of tumor cell degeneration and postnecrotic calcium deposition, tumor cell and mammary glandular cell.Features such as the form of calcification, size, quantity, closeness, distribution, average density all help the discriminating of pathological changes.Calcification pattern is the emphasis of Differential Diagnosis, BIRADS (the Breast Imaging Reporting and Data System) criteria for classification that ACR is recommended is main calcification pattern sorting technique, BIRADS is divided into 5 grades with pathological changes, be respectively negative performance, benign lesion, may be optimum, suspicious pernicious, highly suspect pernicious.Specifically skin calcification, angiosteosis, the calcification of rice krispies style, egg-shell calcification, annular calcification, central bright calcification are divided into optimum calcification or the optimum calcification of possibility; Unsetting and fuzzy calcification is divided into suspicious calcification; Malignant change is then pointed out in pleomorphism calcification, the calcification of fine rule sample, branch's sample calcification and cast calcification to heavens.
At present, the discriminatory analysis of breast symptom x-ray image is to finish by readding the sheet personnel.Human eye is no more than 20 grades at most to the resolution of monochrome gray scale.Read sheet personnel resolving power finite sum operation fatigue and can reduce detection rate of pathological change, low to trickle malignant change imaging analysis accuracy rate.Read manually that sheet discriminatory analysis breast symptom x-ray image efficient is low, poor accuracy, randomness be big.
The utility model content
The purpose of this utility model is to provide a kind of breast symptom feature automatic identification equipment of x-ray image, and the breast symptom x-ray image that obtains is in real time analyzed identification automatically, improves breast symptom accurate rate of diagnosis and efficient.
The breast symptom feature automatic identification equipment of x-ray image of the present utility model is made of LCDs, casing and panel, connection cord, on and off switch, function key, circuit board.On and off switch, liquid crystal display, function key and circuit board are electrically connected; Connection cord one end and circuit board are electrically connected, and the other end passes lateral preformed hole of casing and X-ray machine or CT plane scan instrument and is electrically connected.
Described circuit board selects controller, serial interface circuit, liquid crystal display output circuit to form by A/D change-over circuit, digital signal processor (DSP), synchronous RAM (SRAM), programmable read only memory (EPROM), address decoder, sheet.Wherein:
A/D change-over circuit and X-ray machine or CT plane scan instrument, digital signal processor (DSP) are electrically connected; Digital signal processor (DSP) selects controller to be electrically connected with synchronous RAM (SRAM), programmable read only memory (EPROM), address decoder, sheet; Address decoder, sheet select controller and synchronous RAM (SRAM), programmable read only memory (EPROM) to be electrically connected; Serial interface circuit and liquid crystal display output circuit, digital signal processor (DSP) are electrically connected.
Described A/D change-over circuit is electrically connected and is constituted by A/D conversion chip, decoupling grounded circuit, bleeder circuit, level translator, buffer memory electrical equipment; Digital signal processor (DSP) is the kernel processor chip that is used to handle image; Described synchronous random access memory (SRAM) is the device of storage digital signal processor (DSP) working procedure, data, is electrically connected formation by four synchronous random access memory (SRAM); Programmable read only memory (EPROM) is the device of storage program and initialize routine; Address decoder is the device that is used for address decoding; It is the alternative selector that is equivalent to the data acquisition switch that sheet selects controller, the collection of control data, the device of input; The liquid crystal display output circuit is electrically connected by liquid crystal dot matrix display and output signal line and constitutes.
Described circuit board is fixedly installed in the casing, and LCDs, on and off switch and function key are installed on the panel.
Described function key comprises time-out, tracking and image selection function key.
The using method of this utility model device may further comprise the steps:
The first step to the reference picture analytical calculation of mammary gland detection international standard, carries out being stored in programmable read only memory after the feature extraction;
In second step, collection in worksite breast symptom analogue signal also is input to A/D converter conversion, carries out real-time galactophore image feature extraction;
In the 3rd step, the feature of real-time galactophore image feature and standard galactophore image is carried out pattern match, the calcification pattern of identification sick body and the grade of disease;
The 4th step, the calcification pattern and the disease grade of the demonstration sick body of surveying on the monitoring screen.
This utility model compared with prior art has following advantage: can analyze identification automatically to real-time breast symptom x-ray image, overcome and read that the sheet personnel manually read sheet fatiguability, poor accuracy, randomness is big, efficient is low, insecure shortcoming, can improve accuracy and the reliability and the efficient thereof of breast disease diagnosis.This utility model installation cost is cheap, and image processing speed is fast, strong security, precision height.
Description of drawings
Fig. 1 is the contour structures sketch map of the breast symptom feature automatic identification equipment of x-ray image of the present utility model.
Fig. 2 is the circuit block diagram of the breast symptom feature automatic identification equipment of x-ray image of the present utility model.
Fig. 3 is the circuit diagram of the breast symptom feature automatic identification equipment of x-ray image of the present utility model,
Among the figure: IC1 is that A/D conversion chip, IC2 are that digital signal processor (DSP), IC3 are that level translator, IC4 are that buffer memory electrical equipment, IC5 are that to select controller, IC6 be that address decoder, IC7 are that programmable read only memory (EPROM), IC8, IC9, IC10, IC11 are that synchronous RAM (SRAM), J1 are that liquid crystal dot matrix display, C1 are that electric capacity, R1, R2, R3, R4 are resistance to sheet.
Fig. 4 is the parser FB(flow block) of the breast symptom feature automatic identification equipment of x-ray image of the present utility model.
The specific embodiment
Fig. 1 is the contour structures sketch map of the breast symptom feature automatic identification equipment of x-ray image of the present utility model.As seen from Figure 1, this device is made up of LCDs 1, casing and panel 2, connection cord 3, on and off switch 4, function key 5,6,7 and circuit board, and wherein liquid crystal display 1, on and off switch 4, function key 5,6,7 and circuit board are electrically connected; Connection cord 3 one ends and circuit board are electrically connected, and the other end passes lateral preformed hole of casing and X-ray machine or CT plane scan instrument and is electrically connected.
Fig. 2 is the circuit block diagram of the breast symptom feature automatic identification equipment of x-ray image of the present utility model.As seen from Figure 2, circuit board selects controller, serial interface circuit, liquid crystal display output circuit to form by A/D change-over circuit, digital signal processor (DSP), synchronous RAM (SRAM), programmable read only memory (EPROM), address decoder, sheet, and wherein A/D change-over circuit and X-ray machine or CT plane scan instrument, digital signal processor (DSP) are electrically connected; Digital signal processor (DSP) selects controller to be electrically connected with synchronous RAM (SRAM), programmable read only memory (EPROM), address decoder, sheet; Address decoder, sheet select controller and synchronous RAM (SRAM), programmable read only memory (EPROM) to be electrically connected; Serial interface circuit and liquid crystal display output circuit, digital signal processor (DSP) are electrically connected.
Fig. 3 is the circuit diagram of the breast symptom feature automatic identification equipment of x-ray image of the present utility model, as shown in Figure 3, and by A/D conversion chip IC1, capacitor C 1, resistance R 1, R1, R2, R3, R4, digital signal processor (DSP) IC2, level translator IC3, buffer memory electrical equipment IC4, sheet selects controller IC5, address decoder IC6, programmable read only memory (EPROM) IC7, synchronous RAM (SRAM) IC8, IC9, IC10, IC11, liquid crystal dot matrix display J1 forms.Wherein C1, IC1 series connection, R2 one end ground connection, the other end is connected with C1, IC1; After R2, R3, the R4 series connection, an end ground connection, the other end and IC1 are electrically connected; IC1, IC3, IC4 connect, and are electrically connected with IC2; IC5 and IC2, IC4 are electrically connected; IC8, IC9, IC10, IC11 are electrically connected, and are electrically connected with IC2, IC6; IC7 and IC2, IC6 are electrically connected; J1 and IC2 are electrically connected, and link to each other with output circuit by output signal line.Wherein IC1 selects the TLC5510 chip of TI company for use, and conversion accuracy is 8; The float-point DSP TMS320C31 type that IC2 selects for use TIX to produce, the instruction cycle is 33ns, operating frequency is 40MHz; IC3 selects the 74HC25 type for use, sample frequency 8MHz, CMOS level and line output; IC4 selects 74603 types for use; IC5 selects 74157 types for use; IC6 selects the SN74C138 type for use; IC7 selects the TMS27C512 type for use, and memory space is 32K * 8; IC8,9,10,11 selects 18S18 * 350 chips for use, and memory space is 128K * 8; J1 selects the Japanese Seiko sed1330 of Epson type product for use.
Fig. 4 is the Real time identification analysis programme FB(flow block) of the breast symptom feature automatic identification equipment of x-ray image of the present utility model; As shown in Figure 4, with the disease target image that obtains in the spatial domain pretreatment of classifying, calculate the brightness and the area size of disease target area then, fractal computational analysis is carried out in the specific region, preliminary analysis goes out 3 big class diseases, uses the final classification of making disease based on spatial domain reduced value analytical method and rule-based data mining analysis method to judge the disease type then.
Claims (3)
1, a kind of breast symptom feature automatic identification equipment of x-ray image is characterized in that on and off switch, liquid crystal display, function key and circuit board are electrically connected; Connection cord one end and circuit board are electrically connected, and the other end passes lateral preformed hole of casing and X-ray machine or CT plane scan instrument and is electrically connected;
Described circuit board selects controller, serial interface circuit, liquid crystal display output circuit to form by A/D change-over circuit, digital signal processor DSP, synchronous RAM SRAM, programmable read only memory EPROM, address decoder, sheet; Wherein
A/D change-over circuit and ray machine or CT plane scan instrument, digital signal processor DSP are electrically connected; Digital signal processor DSP and synchronous RAM SRAM, programmable read only memory EPROM, address decoder, sheet select controller to be electrically connected; Address decoder, sheet select controller and synchronous RAM SRAM, programmable read only memory ERPOM to be electrically connected; Serial interface circuit and liquid crystal display output circuit, digital signal processor DSP are electrically connected.
2, device according to claim 1 is characterized in that described circuit board is fixedly installed in the casing, and LCDs, on and off switch and function key are installed on the panel.
3, device according to claim 1 is characterized in that described function key comprises pause function key, following function key, image selection function key.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200520066632 CN2868194Y (en) | 2005-11-02 | 2005-11-02 | X-rayimage mammary gland symptom auto-identifying device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200520066632 CN2868194Y (en) | 2005-11-02 | 2005-11-02 | X-rayimage mammary gland symptom auto-identifying device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN2868194Y true CN2868194Y (en) | 2007-02-14 |
Family
ID=37723122
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 200520066632 Expired - Fee Related CN2868194Y (en) | 2005-11-02 | 2005-11-02 | X-rayimage mammary gland symptom auto-identifying device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN2868194Y (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102164543A (en) * | 2009-03-31 | 2011-08-24 | 富士胶片株式会社 | Image processing apparatus and method and program |
-
2005
- 2005-11-02 CN CN 200520066632 patent/CN2868194Y/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102164543A (en) * | 2009-03-31 | 2011-08-24 | 富士胶片株式会社 | Image processing apparatus and method and program |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20210200988A1 (en) | Method and equipment for classifying hepatocellular carcinoma images by combining computer vision features and radiomics features | |
| EP0502027B1 (en) | Computer-based method for assisting an investigation of a human breast for a malignancy | |
| US11455754B2 (en) | System and method for synthesizing low-dimensional image data from high-dimensional image data using an object grid enhancement | |
| US11957497B2 (en) | System and method for hierarchical multi-level feature image synthesis and representation | |
| Dengler et al. | Segmentation of microcalcifications in mammograms | |
| US5872859A (en) | Training/optimization of computer aided detection schemes based on measures of overall image quality | |
| Lee et al. | A computer-aided design mammography screening system for detection and classification of microcalcifications | |
| US5848177A (en) | Method and system for detection of biological materials using fractal dimensions | |
| Qian et al. | Image feature extraction for mass detection in digital mammography: Influence of wavelet analysis | |
| CN112086197B (en) | Breast nodule detection method and system based on ultrasonic medicine | |
| CN105232081A (en) | Medical ultrasound assisted automatic diagnosis device and medical ultrasound assisted automatic diagnosis method | |
| Khuwaja et al. | Bimodal breast cancer classification system | |
| EP2102789A2 (en) | System and method for feature score mapping and visualization of medical images | |
| CN109363699A (en) | A kind of method and device of breast image lesion identification | |
| CN112508884A (en) | Comprehensive detection device and method for cancerous region | |
| DE102007026804A1 (en) | Method for processing radiological images for detecting radiological abnormalities | |
| CN101564323B (en) | Auxiliary equipment for diagnosing galactophore nidus based on galactophore X-ray photograph | |
| CN112071418A (en) | Gastric cancer peritoneal metastasis prediction system and method based on enhanced CT (computed tomography) imaging omics | |
| CN2868194Y (en) | X-rayimage mammary gland symptom auto-identifying device | |
| CN1759809A (en) | Automatic character recognition system for X ray image of mammary gland symptoms of the illness | |
| CN110827275A (en) | Liver nuclear magnetic artery phase image quality grading method based on raspberry group and deep learning | |
| AbuBaker et al. | Mammogram image size reduction using 16-8 bit conversion technique | |
| CN114869337A (en) | Integrated cabin type thyroid ultrasonic AI automatic diagnostic instrument | |
| Karssemeijer | Detection of masses in mammograms | |
| Styblinski et al. | Circuit performance variability reduction: principles, problems, and practical solutions |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C19 | Lapse of patent right due to non-payment of the annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |