CN111415334A - Bone age prediction device - Google Patents
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- CN111415334A CN111415334A CN202010148581.9A CN202010148581A CN111415334A CN 111415334 A CN111415334 A CN 111415334A CN 202010148581 A CN202010148581 A CN 202010148581A CN 111415334 A CN111415334 A CN 111415334A
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Abstract
The invention provides a bone age prediction device, comprising: the shooting device is used for shooting to obtain a bone age sheet of the user to be detected; the image processing device is used for preprocessing the bone age tablets; the bone age prediction device is used for analyzing the preprocessed bone age tablets based on a deep learning algorithm to obtain a bone age prediction result; and the display device is used for displaying the prediction result. The invention can realize automation and intellectualization of bone age prediction and improve timeliness, accuracy and use convenience of bone age prediction.
Description
Technical Field
The invention relates to the technical field of artificial intelligence and image processing, in particular to bone age prediction equipment.
Background
Bone age is one of the important indexes reflecting the growth and development of children. Bone Age Assessment (BAA) and lifetime height prediction have a crucial role in growth and development of children, and are particularly significant in early warning and monitoring of obese children with increasing number of days.
At present, widely used bone age and life height prediction methods at home and abroad mainly comprise a GP method, a TW method/RWT CHN method and a Chinese teenager child wrist bone maturity and evaluation method (abbreviated as a Chinese-05 method). The atlas method is simple and visual, easy to master, strong in subjectivity and large in error. The TW method data is based on European and American normal children and is not completely applicable to children in our country. The CHN method is a method suitable for Chinese modified on the basis of the TW2 method, but 7 bones are eliminated in the calculation method, so that the BAA accuracy of the old children is influenced. In order to adapt to the growth and development trend of Chinese children, Zhang Shao rock and the like respectively make TW3-C RUS, TW3-C carpal bones and RUS-CHN bone age standards by a percentile method according to a TW3 method, are called as a Chinese-05 method, and become the only bone age industry standard since 2006 in China.
In practical clinical work, the traditional BAA approach faces three problems: reliability, accuracy and timeliness. Except for subjective deviation, results are not completely consistent by adopting different methods, and reliability and accuracy are affected. Meanwhile, the evaluation indexes are more, the diagnosis process is complicated, and the clinical work efficiency is very low.
With the rapid development of social economy and the improvement of national quality of life, people pay more and more attention to the problems of growth and development. Therefore, a bone age prediction scheme with high timeliness, accuracy and convenience in use is urgently needed.
Disclosure of Invention
The invention provides bone age prediction equipment for solving the technical problems, and the bone age prediction equipment can realize automation and intellectualization of bone age prediction and improve timeliness, accuracy and use convenience of bone age prediction.
The technical scheme adopted by the invention is as follows:
a bone age prediction device comprising: the shooting device is used for shooting to obtain a bone age sheet of the user to be detected; the image processing device is used for preprocessing the bone age tablets; the bone age prediction device is used for analyzing the preprocessed bone age slices based on a deep learning algorithm to obtain a bone age prediction result; a display device for displaying the prediction result.
The bone age prediction apparatus further comprises: a printing device for printing the prediction result.
The bone age prediction apparatus further comprises: the hand pose recognition module is used for acquiring hand pose information of the user to be detected before the shooting device shoots the bone age slices of the user to be detected, evaluating the hand pose of the user to be detected, and the display device is used for displaying the hand pose of the user to be detected and an evaluation result of the hand pose.
The bone age prediction apparatus further comprises: and the voice device is used for sending out hand pose adjustment prompt voice according to the evaluation result.
The bone age prediction result comprises a bone region identification result, a development condition of each bone, a bone age evaluation result and a height prediction result.
The bone age prediction apparatus further comprises: the instruction receiving device is used for receiving a viewing instruction and controlling the display device to display the corresponding bone development condition according to the viewing instruction.
The instruction receiving device is further used for receiving an adjusting instruction and adjusting the development condition of the corresponding bone in the bone age prediction result according to the adjusting instruction.
The instruction receiving device is further configured to receive an operation instruction, and control the operations of the photographing device, the image processing device, the bone age prediction device, the display device, and the printing device according to the operation instruction.
The bone age prediction apparatus further comprises: a communication device for communicating with a terminal to send the bone age plate and the prediction result to the terminal.
The bone age prediction device is an integrated device.
The invention has the beneficial effects that:
according to the bone age prediction equipment, the bone age sheet of the user to be detected is obtained through shooting by the shooting device, after the bone age sheet is preprocessed by the image processing device, the bone age prediction device can analyze the preprocessed bone age sheet based on a deep learning algorithm to obtain a bone age prediction result, and the prediction result is displayed by the display device, so that automation and intellectualization of bone age prediction can be realized, and timeliness, accuracy and use convenience of the bone age prediction are improved.
Drawings
Fig. 1 is a block schematic diagram of a bone age prediction apparatus according to an embodiment of the first aspect of the present invention;
FIG. 2 is a block diagram of a bone age prediction device according to a second embodiment of the present invention;
FIG. 3 is a block diagram of a bone age prediction device according to a third aspect of the present invention;
fig. 4 is a schematic block diagram of a bone age prediction apparatus according to a fourth embodiment of the present invention;
FIG. 5 is a diagram illustrating the software architecture of a bone age prediction device according to an embodiment of the present invention;
FIG. 6 is a flow chart of an implementation of a bone age prediction device in accordance with an embodiment of the present invention;
fig. 7 is a schematic diagram of a report printed by the bone age prediction device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the bone age prediction apparatus according to the embodiment of the present invention includes a photographing device 10, an image processing device 20, a bone age prediction device 30, and a display device 40. The shooting device 10 is used for shooting to obtain a bone age sheet of a user to be detected; the image processing device 20 is used for preprocessing bone age tablets; the bone age prediction device 30 is used for analyzing the preprocessed bone age slices based on a deep learning algorithm to obtain a bone age prediction result; the display device 40 is used for displaying the prediction result.
Specifically, for an age block captured by the capturing device 10, for example, a positive hand X-ray block of a user to be detected, the image processing device 20 may perform key point detection, for example, perform key point detection according to a key point detection depth convolution network, and obtain an epiphyseal area image according to a hand epiphyseal key point extraction result, taking into account global context information of epiphyses in the whole hand and accurate epiphyseal details. Wherein, the deep convolutional network can be but not limited to VGG Net, ResNet, ResNext, DenseNet or SqueezeNet, MobileNet.
The bone age prediction result comprises a bone region identification result, a development condition of each bone, a bone age evaluation result and a height prediction result.
The bone region identification result in the embodiment of the present invention includes the images of each divided epiphyseal region, so that the bone age prediction apparatus 30 can directly obtain the bone region identification result according to the epiphyseal region image.
The method comprises the steps of using an epiphysis region image as an input of a preset depth learning regression network, presetting the levels of each epiphysis, namely the development condition of each bone, adopting a depth convolution network to extract image features of the epiphysis region, respectively adopting an independent branch network to establish the preset depth learning regression network for each epiphysis according to different growth and development characteristics of each epiphysis, respectively regressing the development levels of each epiphysis respectively in each branch network, preferably, the epiphysis prediction device 30 comprises an image feature extraction unit and a classification unit, wherein the image feature extraction unit is used for extracting image features in the epiphysis region by using the pre-trained depth convolution network, the classification unit is used for classifying the epiphysis levels by using the regression branch network according to the image features, respectively regressing and respectively obtaining the classification levels of each epiphysis, and further, the classification of the network regression data is carried out according to the network depth regression analysis, the classification levels of the epiphysis are obtained by using a network convolution network, and the network regression analysis unit, and the classification of the obtained by using the network regression analysis of the network classification levels of the network and the index is carried out on the epiphysis.
After obtaining the epiphyseal development grade, the bone age prediction device 30 may obtain a bone age evaluation result and a height prediction result directly according to the bone age evaluation criteria, such as TW3 and china 05.
The display device 40 may include a display screen for displaying the bone age prediction device 30, the bone region identification result, the development condition of each bone, the bone age evaluation result, and the height prediction result.
Further, as shown in fig. 2, the bone age prediction apparatus according to the embodiment of the present invention may further include a printing device 50, and the printing device 50 is configured to print the prediction result.
Therefore, the prediction result can be directly and intuitively displayed to an operator, such as a doctor, by arranging the display device; through setting up printing device, can directly to the on-the-spot output prediction result of the user that awaits measuring, convenient and fast.
Further, as shown in fig. 2, the bone age prediction apparatus according to the embodiment of the present invention may further include a hand pose recognition module 60, where the hand pose recognition module 60 is configured to acquire hand pose information of the user to be measured before the shooting device 10 shoots the bone age slice of the user to be measured, and evaluate the hand pose of the user to be measured, and the display device 40 is configured to display the hand pose of the user to be measured and an evaluation result thereof.
Further, the bone age prediction apparatus according to the embodiment of the present invention may further include a speech device configured to generate a hand pose adjustment prompt speech according to the hand pose evaluation result.
Further, the bone age prediction apparatus according to the embodiment of the present invention may further include an instruction receiving device. The instruction receiving device can receive the viewing instruction and control the display device 40 to display the corresponding bone development condition according to the viewing instruction; the instruction receiving device can also receive an adjusting instruction and adjust the corresponding bone development condition in the bone age prediction result according to the adjusting instruction; the instruction receiving device may further receive an operation instruction, and control the operations of the photographing device, the image processing device, the bone age predicting device, the display device, and the printing device according to the operation instruction.
Further, as shown in fig. 3, the bone age prediction apparatus according to the embodiment of the present invention may further include a communication device 70, where the communication device 70 is configured to communicate with the terminal to transmit the bone age chip and the prediction result to the terminal.
Further, as shown in fig. 4, the bone age prediction apparatus according to the embodiment of the present invention may further include a storage device 80, and the storage device 80 is configured to store the prediction result.
In the present invention, the bone age prediction apparatus of any of the above embodiments is an integrated apparatus. By setting the bone age prediction equipment into an integrated machine, the operation convenience can be improved, and human errors can be reduced.
In one embodiment of the present invention, the camera 10 is an X-ray device; the image processing device 20, the bone age prediction device 30 and the hand pose recognition module 60 form an operation processing core; the display device 40 and the instruction receiving device may include touch screens, and may implement both a display function and an instruction receiving function; the communication device 70 may be various wired interfaces or a wireless module.
The above embodiment of the present invention includes the bone age prediction device of the hand pose recognition module 60, and the user to be measured can automatically guide the bone age prediction device to correct the position and posture of the hand, so that the shot bone age film can meet the image quality control requirement. When the position and posture of the hand do not meet the shooting requirements, the hand pose recognition module 60 can recognize the hand pose and give out a prompt, and meanwhile, a positioning score is given, and an adjustment direction is provided. The mode of sending out the prompt and providing the adjustment direction can be display through a display device, and can also be voice sending through a voice device. For example, if the hand position is shifted to the right with respect to the predetermined position, animation or text in which the hand is moved to the left may be displayed by the display device, or a voice "please move the hand a little to the left" may be uttered by the voice device.
The above embodiment of the present invention includes a bone age prediction device of the communication apparatus 70, which can be connected to a remote server, and a hospital PACS or PC machine supports the bone age slices and prediction results to be transmitted back to the hospital PACS or directly to the PC machine by connecting to the remote server. The PACS supports DICOM Storage service and can receive image data in DICOM format; the computer in the PACS can access the data on the remote server through the local area network; the PC can browse the bone age tablets and the prediction result through a wide area network or a local area network.
The software architecture of the bone age prediction device according to the above embodiment of the present invention is shown in fig. 5, and includes a front-end presentation layer, i.e., a user interface, a back-end service, an algorithm, and a basic service layer. The detailed structure of each layer is shown in fig. 5, and is not described herein again.
The implementation flow of the bone age prediction device of the above embodiment of the present invention is shown in fig. 6, after the patient is positioned, a doctor starts to perform a task, and the bone age prediction device responds to related services, including user verification, and calls an API to initialize a shooting device; after user information is input, the bone age prediction device starts to call an API (application programming interface) to start shooting, acquire images, perform image preprocessing, create a bone age prediction task, call an algorithm service to analyze and calculate to obtain a result, finally display the result on a page, and select whether to output a report.
The above-described embodiment of the present invention includes a bone age prediction apparatus of an instruction receiving device that can detect twenty bones of a hand, including R-series thirteen (radius, ulna, first metacarpal, third metacarpal, fifth metacarpal, first proximal phalanx, third proximal phalanx, fifth proximal phalanx, third middle phalanx, fifth middle phalanx, first distal phalanx, third distal phalanx, fifth distal phalanx) and C-series seven (capitate, hamate, triquetrum, lunate, scaphoid, trapezium, and small multinomial) bones, respectively, and perform development level ranking of each bone. For real-time tracking and feedback, when a doctor clicks a certain skeleton on the touch screen, the touch screen can display the skeleton development schematic diagram, if the result has deviation, the doctor can manually adjust the development stage by referring to the standard skeleton development schematic diagram to realize real-time correction.
The bone age prediction apparatus according to the above embodiment of the present invention includes a printing device 50, and the printed bone age estimation report sheet is shown in fig. 7, and includes examiner information, visual images, diagnosis opinions, and a development grade of each bone and a corresponding score, and calculates a bone development maturity score, and automatically obtains the bone age size thereof through indexing. The bone age prediction device may output a structured bone age report, but is not limited to a report structure style. Growth and development evaluation can provide height and weight reference values for bone age inspectors, so that the bone age prediction is more comprehensive and integral. BMI is used as a variable for evaluating children with different constitutions (obesity, normal and emaciation), the bone age change rules of the children with different constitutions are systematically analyzed, and early warning monitoring is carried out on the bone age growth of the obese children.
In addition, the bone age prediction device according to the above embodiment of the present invention further has an image moving and zooming function, a window width and window position adjusting function, a distance measuring function, a follow-up record, and the like. Due to the adoption of the touch screen, a doctor can move the image up and down and zoom the image through operating the screen, so that the doctor can observe the image more comprehensively, can adjust different window widths and window levels to clearly observe different tissues, can measure the length of the skeleton in any direction through a distance measuring function, and has important significance for the growth stage evaluation. The follow-up recording function of the storage device can provide time longitudinal information for the examiner, and when the examiner uses the bone age prediction device again to predict the bone age, the bone age prediction device can perform more comprehensive bone age prediction and growth and development evaluation according to the previous records.
The operational processing core of the bone age prediction device of the embodiment of the invention adopts a TX2 great reach L inux system, which has various standard hardware interfaces, is easy to integrate and embed into a bone age all-in-one machine, has enhanced terminal computing capability, enables the all-in-one machine to be terminated without depending on a network environment, and integrates a control chip, a data interface, a graphic accelerator, a screen display, a deep network model, parameter and bone age big data storage and the like.
According to the bone age prediction equipment provided by the embodiment of the invention, the bone age sheet of the user to be detected is obtained through shooting by the shooting device, after the bone age sheet is preprocessed by the image processing device, the bone age prediction device can analyze the preprocessed bone age sheet based on a deep learning algorithm to obtain a bone age prediction result, and the prediction result is displayed by the display device, so that the automation and the intellectualization of bone age prediction can be realized, and the timeliness, the accuracy and the use convenience of the bone age prediction are improved.
In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A bone age prediction device, comprising:
the shooting device is used for shooting to obtain a bone age sheet of the user to be detected;
the image processing device is used for preprocessing the bone age tablets;
the bone age prediction device is used for analyzing the preprocessed bone age slices based on a deep learning algorithm to obtain a bone age prediction result;
a display device for displaying the prediction result.
2. The bone age prediction device of claim 1, further comprising:
a printing device for printing the prediction result.
3. The bone age prediction device of claim 2, further comprising:
the hand pose recognition module is used for acquiring hand pose information of the user to be detected before the shooting device shoots the bone age slices of the user to be detected, evaluating the hand pose of the user to be detected, and the display device is used for displaying the hand pose of the user to be detected and an evaluation result of the hand pose.
4. The bone age prediction device of claim 3, further comprising:
and the voice device is used for sending out hand pose adjustment prompt voice according to the evaluation result.
5. The bone age prediction device of claim 4, wherein the bone age prediction results comprise bone region identification results, development status of each bone, bone age evaluation results, and height prediction results.
6. The bone age prediction device of claim 5, further comprising:
the instruction receiving device is used for receiving a viewing instruction and controlling the display device to display the corresponding bone development condition according to the viewing instruction.
7. The bone age prediction device of claim 6, wherein the instruction receiving means is further configured to receive an adjustment instruction, and adjust the development condition of the corresponding bone in the bone age prediction result according to the adjustment instruction.
8. The bone age prediction apparatus according to claim 7, wherein the instruction receiving means is further configured to receive an operation instruction, and to control operations of the photographing means, the image processing means, the bone age prediction means, the display means, and the printing means according to the operation instruction.
9. The bone age prediction device of claim 8, further comprising:
a communication device for communicating with a terminal to send the bone age plate and the prediction result to the terminal.
10. The bone age prediction device according to any of claims 1-9, characterized by being a one-piece device.
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