CN106202861A - Nervous system image interactive system - Google Patents
Nervous system image interactive system Download PDFInfo
- Publication number
- CN106202861A CN106202861A CN201610471965.8A CN201610471965A CN106202861A CN 106202861 A CN106202861 A CN 106202861A CN 201610471965 A CN201610471965 A CN 201610471965A CN 106202861 A CN106202861 A CN 106202861A
- Authority
- CN
- China
- Prior art keywords
- module
- display
- neuroimaging
- processor
- image
- 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.)
- Pending
Links
Classifications
-
- G06F19/321—
-
- G06F19/325—
-
- G06F19/3418—
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The present invention relates to nervous system image interactive system, connected by network including neuroimaging collecting device, processor, display, input equipment, server and interactive device, processor and server;Neuroimaging collecting device includes that image adopts storage module, image output module, and processor includes display module, processing module, receives sending module and input module, and server includes data base, comparing module, transceiver module and interactive module;Storage module adopted by image, is used for gathering neuroimaging;Neuroimaging is after neuroimaging collecting device gathers, input processor, and show over the display, by input equipment, neuroimaging is sent to server compare, and the result after comparison is returned to processor, shown by display, help medical personnel or there is personnel's study of relevant knowledge, diagnose disease, determine suitable Therapeutic Method.The present invention has for learning, assist diagnosis, the advantage automatically retrieving sharing information.
Description
Technical field
The present invention relates to medical diagnostic systems, a kind of nervous system image for learning, assist diagnosis is mutual
System.
Background technology
Continuous along with medical science is improved, the nervous system Image detection technology such as brain, spinal cord, such as 3-dimensional image, CT,
MRI (T1, T2, DWI, SWI), MRS, MRA, MRV, the technology such as skull cerebrovascular DSA, PET obtains greater advance.Different images
Detection technique development difference, principle is different, adds the diversity of various pathological changes, such as central nerve neuroma and is divided into nerve
Epithelial neoplasms, cranium brain and spinal nerves tumor, meningeal tumor, other class tumors relevant to meninges, lymphoma and hemopoietic system
System tumor, germ cell tumor, sellar tumour, the big class such as metastatic tumo(u)r, the modal cerebrovascular disease of elderly population is divided into
Cerebral hemorrhage, subarachnoid hemorrhage, cerebral infarction are waited indefinitely type, and wherein a lot of disease primary clinical manifestation are not true to type, iconography picture
Easy mistaken diagnosis during emergency treatment, makes young and middle-aged doctor, basic unit medical personnel be difficult to hold.
CT is to be scanned by X-ray beam aspect certain thickness to human body portion, detector receive the X through this aspect
Line, after being changed into visible ray, is become the signal of telecommunication from opto-electronic conversion, then transfers numeral to through analog/digital converter, input computer
Process.MRI is to utilize atomic nucleus at a kind of imaging technique of the magnetic field internal resonance reconstructed imaging of produced signal.Nuclear magnetic resonance, NMR is
A kind of nuclear physics phenomenon, examination scope covers substantially each system of whole body, now renames as magnetic resonance imaging.Participate in MRI imaging
Many factors, contain much information and be different from existing various iconography imaging, have in diagnosing the illness the biggest superiority and should
It is exactly briefly that the image that formed of nuclear magnetic resonance, NMR (NMR) formation basic theory medically is with potentiality NMR (Nuclear Magnetic Resonance) spectrum figure
Human body is placed in special magnetic field, with hydrogen nuclei in radio frequency pulse excitation human body, causes hydrogen nuclei to resonate, and
Absorb energy.After stopping radio-frequency pulse, hydrogen nuclei sends electric signal by characteristic frequency, and is discharged by the energy of absorption
Come, included by external accepter, process through electronic computer and obtain image.PET is that PET-Positron emission computed tomography shows
As (, it is the more advanced clinical examination image technology of the field of nuclear medicine.Method is, by certain material, and usually biological life generation
Necessary material in thanking, such as: glucose, protein, nucleic acid, fatty acid, short-life radionuclide on labelling, injects human body
After, by for the gathering in metabolism of this material, reflect the situation that vital metabolic is movable, thus reach the purpose of diagnosis.
Along with informationization, data base, communication technology, image recognition technology, semiconductor technology etc. are the most progressive, the Internet
Universal, the further fusion of each subject, the propagation for information is taken a firm foundation.Such as issue based on BSD license (increasing income)
Cross-platform computer vision library Open CV (Open Source Computer Vision Library), may operate in
In Linux, Windows and Mac OS operating system.Its lightweight and efficiently by a series of C function and a small amount of C++ class structure
Become, provide the interface of the language such as Python, Ruby, MATLAB, it is achieved that in terms of image procossing and computer vision simultaneously
A lot of general-purpose algorithms.Open CV C Plus Plus is write, and its primary interface is also C Plus Plus, but still remains a large amount of
C language interface.Also there is the interface of substantial amounts of Python, Java and MATLAB/OCTAVE in this storehouse.The API of these language connects
Mouth function can be obtained by online document.Nowadays also provide for for C#, the support of Ch, Ruby.All new exploitations and algorithm
It is all to use C++ interface.The most such as face recognition technology, through the development of nearly 40 years, achieves the biggest development, has emerged big
The recognizer of amount.These algorithms relate to face widely, including pattern recognition, image procossing, computer vision, artificial intelligence
Numerous subjects such as energy, statistical learning, neutral net, wavelet analysis, subspace theory and manifold learning.So being difficult to a system
These algorithms are classified by the standard of.Difference according to input data mode can be divided into recognition of face based on still image
With recognition of face based on video image.Because face recognition algorithms based on still image is equally applicable to based on video image
Recognition of face, so only those recognizers employing temporal information just belong to recognition of face based on video image calculation
Method.
The distribution of existing medical resource is unbalanced, information asymmetry, personal resource limitation so that medical personnel etc. have
The personnel of relevant professional knowledge learning, put into practice, diagnose during, lack effective means, especially neuroimaging diagnosis
Clinical diagnosis and study, due to the complexity of nervous system regulation and control, individual difference is big, and direct ornamental is poor, Pathologic specimen
The feature such as low with biopsy acquisition rate always is the difficult point of clinical diagnosis and treatment and study.Need a kind of for learning, assist diagnosis
Nervous system image interactive system.
Summary of the invention
It is an object of the invention to provide a kind of nervous system image interactive system for learning, assist diagnosis.
Nervous system image interactive system, including: neuroimaging collecting device, processor, display, input equipment, clothes
Business device and interactive device, described processor and server are connected by network;
Described neuroimaging collecting device includes that image adopts storage module and image output module;
Described processor includes display module, processing module, reception sending module and input module;
Described server includes data base, comparing module, transceiver module and interactive module;
Storage module is adopted in impact, is used for gathering neuroimaging;
Image output module, connects image respectively and adopts storage module and receive sending module;
Processing module, connects display module respectively, receives sending module and input module, and described display module connects display
Device, described input module connects input equipment;
Comparing module, compares with the data in data base, by anti-for the result of comparison for receiving the picture collected
Feeding processor, connect data base, transceiver module and interactive module respectively, described transceiver module connects and receives sending module, institute
State interactive module and connect interactive device.
The result of the different images technology of comparison in data base is shown by described display, or display and exchange
Equipment is held a consultation the most in real time by real-time performance.
Described display is provided with main interface, and described main interface is provided with an interface display neuroimaging, separately has 4~6 boundaries
Face shows the image that other imaging methods relevant to this neuroimaging show.
Described processor is provided with and adjusts the picture processing module gathering image, respectively with reception sending module and input module
Connect, collection image is optimized, it is simple to comparing module is compared.
Described neuroimaging collecting device, processor, display and input equipment are mobile phone, and described neuroimaging collection sets
Standby is to have touch screen, the liquid crystal apparatus of display function, described place for the camera installation in mobile phone, described display and input equipment
Reason device is CPU and the storage device of interior of mobile phone.
Described input equipment includes mouse or keyboard.
Described display is liquid crystal display.
Described interactive device is mouse, keyboard and touch screen.
Described neuroimaging collecting device, processor, display and input equipment are set to collapsible, to be easy to movement case
Body, the one side after described casing is opened arranges display, and another side arranges collecting device and input equipment, and described reception sends mould
Block is provided with the interface connecting network.
Described input equipment is additionally provided with a humanoid model, and described humanoid model is connected to processor, and be divided into two with
On region, each region be provided with triggering switch, each trigger switch by humanoid model connect processor.
Described humanoid model is set to open-type, and the inside after unlatching is the spinal column of human body, brain and Substance P model.
All pixels in described comparing module traversal neuroimaging sample, determine the color in each region, thus divide each district
Territory, re-uses comparing module and compares, and compares, really with do not have pathological changes, the neuroimaging of various pathological changes in data base
Determine the pathological changes of neuroimaging sample, be diagnosed to be the possible disease of neuroimaging sample, and recall relevant information and feed back.
On described humanoid model, neural distribution is set, for different neurological region, is respectively provided with triggering switch,
The known case of storage and pathological data in data base, when pressing neurological region, the data in data base are found out, and
Feed back to show on display.
After described humanoid model is opened, the Substance P situation of display inside of human body, convenient study and auxiliary diagnosis.
The present invention includes: neuroimaging collecting device, processor, display, input equipment, server and interactive device,
Processor and server are connected by network;Neuroimaging collecting device includes that image adopts storage module, image output module, processes
Device includes display module, processing module, receives sending module and input module, and server includes data base, comparing module, transmitting-receiving
Module and interactive module;Storage module adopted by image, is used for gathering neuroimaging;Neuroimaging gathers through neuroimaging collecting device
After, input processor, and show over the display, by input equipment, neuroimaging is sent to server and compares, and
Result after comparison is returned to processor, display shows, demonstrate the possible disease of patient and corresponding simultaneously
Therapeutic Method, helps medical personnel or has personnel's study of relevant knowledge, auxiliary diagnosis disease, line real time diagnosis, really
Fixed suitable Therapeutic Method.The present invention has for learning, assist diagnosis, the advantage automatically retrieving sharing information.
Accompanying drawing explanation
Fig. 1 is the annexation figure of the present invention;
Fig. 2 is the connection figure of the present invention;
Fig. 3 is the flow chart of the present invention;
Fig. 4 is folding-type box schematic diagram when opening;
Fig. 5 is folding-type box schematic diagram when closing;
Fig. 6 is the main display interface of display;
In figure: 1, neuroimaging collecting device, 2, processor, 3, display, 4, input equipment, 5, server, 6, mutual
Equipment, 11, image adopt storage module, 12, image output module, 21, display module, 22, processing module, 23, receive sending module,
24, input module, 51, data base, 52, comparing module, 53, transceiver module, 54, interactive module.
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the present invention will be further described.
Embodiment 1:
Nervous system image interactive system, including: neuroimaging collecting device 1, processor 2, display 3, input equipment
4, server 5 and interactive device 6, processor 2 and server 5 are connected by network;Neuroimaging collecting device 1 includes that image is adopted
Storage module 11 and image output module 12;Processor 2 includes display module 21, processing module 22, receives sending module 23 and defeated
Enter module 24;Server 5 includes data base 51, comparing module 52, transceiver module 53 and interactive module 54;Storage module is adopted in impact
11, it is used for gathering neuroimaging;Image output module 12, connects image respectively and adopts storage module 11 and receive sending module 23;Place
Reason module 22, connects display module 21 respectively, receives sending module 23 and input module 24, and display module 21 connects display 3,
Input module 24 connects input equipment 4;Comparing module 52, enters with the data in data base 51 for receiving the picture collected
Row comparison, the result of comparison is fed back to processor 2, connect data base 51, transceiver module 53 and interactive module 54, transmitting-receiving respectively
Module 53 connects reception sending module 23, and interactive module 54 connects interactive device 6.Display 3 is by comparison in data base 51 not
Show with the result of image technology, or display 3 and switching equipment 6 are held a consultation the most in real time by real-time performance.
Display 3 is provided with main interface, and main interface is provided with an interface display neuroimaging, separately have 4~6 interface display with
The image that other imaging methods that this neuroimaging is relevant show.Processor 2 is provided with and adjusts the picture processing module gathering image,
It is connected with reception sending module 23 and input module 24 respectively, collection image is optimized, it is simple to comparing module 52 compares
Right.Neuroimaging collecting device 1, processor 2, display 3 and input equipment 4 are mobile phone, and neuroimaging collecting device 1 is mobile phone
In camera installation, display 3 and input equipment 4 are to have touch screen, the liquid crystal apparatus of display function, in processor 2 is mobile phone
The CPU in portion and storage device.
Input equipment 4 includes mouse or keyboard.Display 3 is liquid crystal display.Interactive device 6 is mouse, keyboard and touches
Touch screen.Neuroimaging collecting device 1, processor 2, display 3 and input equipment 4 are set to collapsible, to be easy to movement casing, case
One side after body is opened arranges display 3, and another side arranges collecting device 1 and input equipment 4, receives sending module 23 company of being provided with
Connect the interface of network.Input equipment 4 is additionally provided with a humanoid model, and humanoid model is connected to processor 2, and is divided into two or more
Region, each region be provided with triggering switch, each trigger switch by humanoid model connect processor 2.Humanoid model is set to
Open-type, the inside after unlatching is the spinal column of human body, brain and Substance P model.
CT, MRI (T1, T2, DWI, SWI), the image of MRS, MRA, MRV, PET neuroimaging is by neuroimaging collecting device
1 gather, and be stored in adopt storage module 11 in, by image output module 12 be sent to receive sending module 23.The place of processor 2
Reason module 22 accepts to receive sending module 23 and sends the neuroimaging of coming, and is shown on the display 3 by display module 21, uses
Person obtains the relevant information of neuroimaging by display 3, is input to input mould by the information input equipment 4 adjusted, select
Block 24, then it is input to processing module 22, shown by display 3 so that user understands operational circumstances simultaneously.Receive sending module
23 transceiver modules 53 that neuroimaging is sent to server 5 by network, are re-fed into comparing module 52, and comparing module 52 is passed through
To the comparison of data in the process of neuroimaging and data base 51, by existing neural shadow relevant to neuroimaging in data base 51
The information such as picture, existing diagnostic method, case, is sent to transceiver module 53, returns in processor 2, and show at display 3
On, for medical personnel or have the people of relevant professional knowledge with reference to, learn, assist diagnosis, thus improve study, diagnose and imitate
Rate.The manager of server 5 is revised by interactive device 6, is managed server, and the information of interactive device 6 passes through interactive module 54
Send into comparing module 52, and then data base 51 is carried out management and control, also by interactive device 6, patient is carried out the most simultaneously
The consultation of doctors.
Neural distribution is set on humanoid model, for different neurological region, is respectively provided with triggering switch, in data
The known case of storage and pathological data in storehouse 51, when pressing neurological region, the data in data base 51 are found out, and
Feed back to show on display 3.Humanoid model can be opened, the Substance P situation of the display inside of human body after opening, convenient
Practise and auxiliary diagnosis.
The main display interface of display 3: an interface display neuroimaging, separately has 4~6 interface display and this nerve shadow
As the image that other relevant imaging methods show, when clicking on this neuroimaging, the son display circle of this neuroimaging can be entered
Face, processes this neuroimaging, analyzes.When clicking on other interfaces, pathology and case under this imaging methods can be entered
Details interface.
When the picture size of neuroimaging, angle are the best, also by processing module 22 and input equipment 4, picture is entered
Row processes, and adjustment picture is to optimal, then is transmitted.Display 3 is set to windows display function, can be 4-6 display window,
Select the most voluntarily, point out hemorrhage, if several windows there will be head successively after scanning as patient has clapped a Cranial Computed Tomography
Hemorrhage rear CT, MRI-T1, MRI-T2, DSA angiography in portion various different check it is possible that image picture, and accordingly
Therapeutic Principle.
When neuroimaging is processed by comparing module 52, due to neuroimaging image-forming principle, picture warp again
Crossing and take pictures, the aberration of neuroimaging is little, needs emphasis to treat during process.Neuroimaging is rest image, it is not necessary to consider dynamically to become
Change, if neuroimaging is two dimension, it is not necessary to dimensionality reduction.
Concrete processing mode is all pixels in traversal neuroimaging sample, determines the color in each region, thus divides
Each region, re-uses comparing module 52 and compares, with in data base 51 there is no pathological changes, the neuroimaging of various pathological changes is carried out
Comparison, determines the pathological changes of neuroimaging sample, is diagnosed to be the possible disease of neuroimaging sample, and recalls relevant information and carry out
Feedback.If the picture quality of neuroimaging sample is the best, in addition it is also necessary to have adaptive function, the pixel traversed is carried out
Memory, and suitable tolerance is set, thus tell panel section, anatomical part, lesion portion, then by neuroimaging sample
This data are compared with data base 51.
Such as read a red pixel, after or red just explanation is same piece, read after non-redness again
Reading redness, explanation is a new block, can call the Get Pixel method in Open CV, or flood fill algorithm,
Or find Contour algorithm, owing to the traversal of the Get Pixel method of acquiescence is relatively slow, can use following Get Pixel to calculate
Method, specific code is as follows:
Embodiment 2:
When neuroimaging collecting device 1, processor 2, display 3 and input equipment 4 are mobile phone, neuroimaging collecting device
1 is the camera installation in mobile phone, and display 3 and input equipment 4 are to have touch screen, the liquid crystal apparatus of display function, and processor 2 is
The CPU of interior of mobile phone and storage device.By the photo of mobile phone shooting neuroimaging sample, it is stored in the memorizer of mobile phone,
And shown by the display screen of mobile phone, user is also by the liquid crystal display screen of mobile phone, the keyboard relevant letter to neuroimaging sample
Breath is configured, such as, adjust the size of picture, angle, the type of picture (CT, MRI (T1, T2, DWI, SWI), MRS, MRA,
MRV, PET), the position (brain or the concrete part of vertebra) of picture.It is sent to server by wireless network again by mobile phone
Process, a concrete picture processing mode as above example.The processing procedure of mobile phone side can be separately provided one should program, from
And improve the convenience for the treatment of effeciency and process.
The ultimate principle of the present invention, principal character and advantage have more than been shown and described.The technical staff of the industry should
Understanding, the present invention is not restricted to the described embodiments, and the simply explanation present invention's described in above-described embodiment and description is former
Reason, the present invention also has various changes and modifications without departing from the spirit and scope of the present invention, these changes and improvements
Both fall within scope of the claimed invention.Claimed scope is by appending claims and equivalent circle thereof
Fixed.
Claims (10)
1. nervous system image interactive system, it is characterised in that including: neuroimaging collecting device (1), processor (2), display
Device (3), input equipment (4), server (5) and interactive device (6), described processor (2) and server (5) are by network even
Connect;
Described neuroimaging collecting device (1) includes that image adopts storage module (11) and image output module (12);
Described processor (2) includes display module (21), processing module (22), receives sending module (23) and input module
(24);
Described server (5) includes data base (51), comparing module (52), transceiver module (53) and interactive module (54);
Storage module (11) is adopted in impact, is used for gathering neuroimaging;
Image output module (12), connects image respectively and adopts storage module (11) and receive sending module (23);
Processing module (22), connects display module (21) respectively, receives sending module (23) and input module (24), described display
Module (21) connects display (3), and described input module (24) connects input equipment (4);
Comparing module (52), compares, by the knot of comparison for receiving the data in the picture and data base (51) collected
Fruit feeds back to processor (2), connects data base (51), transceiver module (53) and interactive module (54), described transceiver module respectively
(53) connecting reception sending module (23), described interactive module (54) connects interactive device (6).
The result of the different images technology of comparison in data base (51) is shown by described display (3), or display (3)
Held a consultation the most in real time by real-time performance with switching equipment (6).
Nervous system image interactive system the most according to claim 1, it is characterised in that described display (3) is provided with master
Interface, described main interface is provided with an interface display neuroimaging, separately has 4~6 interface display relevant to this neuroimaging
The image that other imaging methods show.
Nervous system image interactive system the most according to claim 1, it is characterised in that described processor (2) is provided with tune
The picture processing module of whole collection image, is connected with reception sending module (23) and input module (24) respectively, will gather image
It is optimized, it is simple to comparing module (52) is compared.
Nervous system image interactive system the most according to claim 1, it is characterised in that described neuroimaging collecting device
(1), processor (2), display (3) and input equipment (4) are mobile phone, and described neuroimaging collecting device (1) is in mobile phone
Camera installation, described display (3) and input equipment (4) are for have touch screen, the liquid crystal apparatus of display function, described processor
(2) it is CPU and the storage device of interior of mobile phone.
Nervous system image interactive system the most according to claim 1, it is characterised in that described input equipment (4) includes
Mouse or keyboard.
Nervous system image interactive system the most according to claim 1, it is characterised in that described display (3) is liquid crystal
Display.
Nervous system image interactive system the most according to claim 1, it is characterised in that described interactive device (6) is Mus
Mark, keyboard and touch screen.
Nervous system image interactive system the most according to claim 1, it is characterised in that described neuroimaging collecting device
(1), processor (2), display (3) and input equipment (4) are set to collapsible, to be easy to movement casing, after described casing is opened
One side display (3) is set, another side arranges collecting device (1) and input equipment (4), and described reception sending module (23) sets
There is the interface connecting network.
Nervous system image interactive system the most according to claim 1, it is characterised in that described input equipment (4) also sets
Having a humanoid model, described humanoid model to be connected to processor (2), and be divided into plural region, each region is provided with
Triggering switch, each switch that triggers connects processor (2) by humanoid model.
Nervous system image interactive system the most according to claim 9, it is characterised in that described humanoid model is set to out
Opening formula, the inside after unlatching is the spinal column of human body, brain and Substance P model.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610471965.8A CN106202861A (en) | 2016-06-24 | 2016-06-24 | Nervous system image interactive system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610471965.8A CN106202861A (en) | 2016-06-24 | 2016-06-24 | Nervous system image interactive system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106202861A true CN106202861A (en) | 2016-12-07 |
Family
ID=57461860
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610471965.8A Pending CN106202861A (en) | 2016-06-24 | 2016-06-24 | Nervous system image interactive system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106202861A (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110419043A (en) * | 2017-03-17 | 2019-11-05 | 普罗克拉提欧有限公司 | Personal medical information data managing method and system |
US20220346879A1 (en) * | 2017-07-27 | 2022-11-03 | Carlsmed, Inc. | Systems and methods for physician designed surgical procedures |
US11678938B2 (en) | 2020-01-06 | 2023-06-20 | Carlsmed, Inc. | Patient-specific medical systems, devices, and methods |
US11696833B2 (en) | 2018-09-12 | 2023-07-11 | Carlsmed, Inc. | Systems and methods for orthopedic implants |
US11793577B1 (en) | 2023-01-27 | 2023-10-24 | Carlsmed, Inc. | Techniques to map three-dimensional human anatomy data to two-dimensional human anatomy data |
US11806241B1 (en) | 2022-09-22 | 2023-11-07 | Carlsmed, Inc. | System for manufacturing and pre-operative inspecting of patient-specific implants |
US11854683B2 (en) | 2020-01-06 | 2023-12-26 | Carlsmed, Inc. | Patient-specific medical procedures and devices, and associated systems and methods |
US11984205B2 (en) | 2022-02-23 | 2024-05-14 | Carlsmed, Inc. | Non-fungible token systems and methods for storing and accessing healthcare data |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1598858A (en) * | 2004-05-13 | 2005-03-23 | 郑州市疾病预防控制中心 | Integral management system for digital information of hospital |
CN1748651A (en) * | 2004-09-13 | 2006-03-22 | 株式会社东芝 | Medical image diagnostic apparatus and method of perusing medical images |
CN1787447A (en) * | 2005-11-16 | 2006-06-14 | 中国科学院上海技术物理研究所 | Method and system for realizing interactive network constitution of medicine image obtained by multipoint searching access |
CN101136042A (en) * | 2006-08-29 | 2008-03-05 | 株式会社东芝 | Image-display device and an image-display system |
CN101572072A (en) * | 2008-04-30 | 2009-11-04 | 宏碁股份有限公司 | Image display device and power-saving control method thereof |
CN102073849A (en) * | 2010-08-06 | 2011-05-25 | 中国科学院自动化研究所 | Target image identification system and method |
CN201846366U (en) * | 2010-10-21 | 2011-05-25 | 北京洛克斯科技发展有限公司 | Intelligent medical imaging storage and transmission system |
CN102156715A (en) * | 2011-03-23 | 2011-08-17 | 中国科学院上海技术物理研究所 | Retrieval system based on multi-lesion region characteristic and oriented to medical image database |
-
2016
- 2016-06-24 CN CN201610471965.8A patent/CN106202861A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1598858A (en) * | 2004-05-13 | 2005-03-23 | 郑州市疾病预防控制中心 | Integral management system for digital information of hospital |
CN1748651A (en) * | 2004-09-13 | 2006-03-22 | 株式会社东芝 | Medical image diagnostic apparatus and method of perusing medical images |
CN1787447A (en) * | 2005-11-16 | 2006-06-14 | 中国科学院上海技术物理研究所 | Method and system for realizing interactive network constitution of medicine image obtained by multipoint searching access |
CN101136042A (en) * | 2006-08-29 | 2008-03-05 | 株式会社东芝 | Image-display device and an image-display system |
CN101572072A (en) * | 2008-04-30 | 2009-11-04 | 宏碁股份有限公司 | Image display device and power-saving control method thereof |
CN102073849A (en) * | 2010-08-06 | 2011-05-25 | 中国科学院自动化研究所 | Target image identification system and method |
CN201846366U (en) * | 2010-10-21 | 2011-05-25 | 北京洛克斯科技发展有限公司 | Intelligent medical imaging storage and transmission system |
CN102156715A (en) * | 2011-03-23 | 2011-08-17 | 中国科学院上海技术物理研究所 | Retrieval system based on multi-lesion region characteristic and oriented to medical image database |
Non-Patent Citations (2)
Title |
---|
霍亮等: "T 级影像数据管理平台的设计与实现", 《测绘科学》 * |
鞠志英等: "医学影像学信息***的构建", 《医学信息学杂志》 * |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110419043A (en) * | 2017-03-17 | 2019-11-05 | 普罗克拉提欧有限公司 | Personal medical information data managing method and system |
US20220346879A1 (en) * | 2017-07-27 | 2022-11-03 | Carlsmed, Inc. | Systems and methods for physician designed surgical procedures |
US11497559B1 (en) * | 2017-07-27 | 2022-11-15 | Carlsmed, Inc. | Systems and methods for physician designed surgical procedures |
US11857264B2 (en) | 2017-07-27 | 2024-01-02 | Carlsmed, Inc. | Systems and methods for physician designed surgical procedures |
US11696833B2 (en) | 2018-09-12 | 2023-07-11 | Carlsmed, Inc. | Systems and methods for orthopedic implants |
US11717412B2 (en) | 2018-09-12 | 2023-08-08 | Carlsmed, Inc. | Systems and methods for orthopedic implants |
US11678938B2 (en) | 2020-01-06 | 2023-06-20 | Carlsmed, Inc. | Patient-specific medical systems, devices, and methods |
US11854683B2 (en) | 2020-01-06 | 2023-12-26 | Carlsmed, Inc. | Patient-specific medical procedures and devices, and associated systems and methods |
US11984205B2 (en) | 2022-02-23 | 2024-05-14 | Carlsmed, Inc. | Non-fungible token systems and methods for storing and accessing healthcare data |
US11806241B1 (en) | 2022-09-22 | 2023-11-07 | Carlsmed, Inc. | System for manufacturing and pre-operative inspecting of patient-specific implants |
US11793577B1 (en) | 2023-01-27 | 2023-10-24 | Carlsmed, Inc. | Techniques to map three-dimensional human anatomy data to two-dimensional human anatomy data |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106202861A (en) | Nervous system image interactive system | |
US20220027024A1 (en) | Medical image providing apparatus and medical image processing method of the same | |
KR102210474B1 (en) | Positron emission tomography system and imgae reconstruction method using the same | |
US9818212B2 (en) | Magnetic resonance imaging (MRI) apparatus and method of processing MR image | |
Naït-Ali et al. | Compression of biomedical images and signals | |
Lavdas et al. | Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CF s), convolutional neural networks (CNN s), and a multi‐atlas (MA) approach | |
CN111417342B (en) | Brain network activity estimation system, method and storage medium | |
US20180267700A1 (en) | User interface for medical information | |
CN111369562B (en) | Image processing method, image processing device, electronic equipment and storage medium | |
US20150281564A1 (en) | Medical imaging apparatus and method of displaying user interface image | |
US9111334B2 (en) | Dielectric encoding of medical images | |
CN108351395A (en) | Virtual CT images from magnetic resonance image | |
CN110473623A (en) | Medical service system | |
CN110444277A (en) | It is a kind of based on generating multipair anti-multi-modal brain MRI image bi-directional conversion method more | |
Lian et al. | Research on hierarchical data fusion of intelligent medical monitoring | |
CN112005314A (en) | System and method for training a deep learning model of an imaging system | |
Wang et al. | Deep transfer learning-based multi-modal digital twins for enhancement and diagnostic analysis of brain mri image | |
US20150117742A1 (en) | Medical imaging apparatus and method of reconstructing medical image | |
Sendra-Balcells et al. | Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries | |
Daoud et al. | The role of artificial intelligence and the internet of things in the development of medical radiology (an experimental study on magnetic resonance imaging) | |
CN206147630U (en) | Neural image diagnosis device | |
Xu et al. | Applying cross-modality data processing for infarction learning in medical internet of things | |
WO2023036118A1 (en) | Information processing system and method | |
Shang et al. | Short‐Axis PET Image Quality Improvement by Attention CycleGAN Using Total‐Body PET | |
Wang et al. | An unsupervised dual contrastive learning framework for scatter correction in cone-beam CT image |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161207 |
|
RJ01 | Rejection of invention patent application after publication |