CN115252124B - Suture usage estimation method and system based on injury picture data analysis - Google Patents
Suture usage estimation method and system based on injury picture data analysis Download PDFInfo
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- CN115252124B CN115252124B CN202211181928.5A CN202211181928A CN115252124B CN 115252124 B CN115252124 B CN 115252124B CN 202211181928 A CN202211181928 A CN 202211181928A CN 115252124 B CN115252124 B CN 115252124B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B34/00—Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
- A61B34/10—Computer-aided planning, simulation or modelling of surgical operations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
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- G06T7/0012—Biomedical image inspection
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The invention relates to the technical field of data processing, and discloses a suture usage estimation method and system based on injury picture data analysis, which comprises the following steps: s1, acquiring an injury standard picture and injury label data of a target wound; s2, selecting a corresponding estimation model according to the injury label data; s3, inputting the injury standard picture into the estimation model to obtain an output suture usage estimation value; s4, setting a suture guide marking point; the wound condition label data comprises the body part of the target wound, the wound time and the wound depth, the interruption of a suture process caused by low estimation amount of the suture can be avoided, or a doctor takes excessive suture and uses less suture but does not inform the condition of a patient, and the calculation of the estimation amount of the suture is also favorable for more transparent and public intuitive wound dangerous feeling for family members of the patient; the suture guidance marking points can provide reference for the intern for suture guidance and can also facilitate the teacher with the teaching to guide and correct the errors.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a suture usage estimation method and system based on injury picture data analysis.
Background
Due to the rapid development of the digital technology, the life of a user is changed greatly, and medical health enters a digital era, so that the digital city, digital health and digital medical treatment are corresponding to the digital city, the smart health and the smart medical treatment.
The smart medical service is an important component of a smart city, and is a medical system which comprehensively applies technologies such as a medical internet of things, data fusion transmission and exchange, cloud computing and metropolitan area network, fuses medical infrastructure and IT infrastructure through an information technology, spans space-time limitation of an original medical system by taking a medical cloud data center as a core, and performs intelligent decision on the basis to realize optimization of medical service. Medical services such as remote registration, online consultation and online payment are pushed to hands of each person through technologies such as mobile communication and mobile internet, and the problem of difficulty in seeing a doctor is solved.
When a patient is delivered to a hospital, a doctor does not need to go to the site, can evaluate the condition of a wound remotely according to the experience of taking a picture of an affected part and give out a related diagnosis and treatment scheme, and for different intelligent medical terminals (such as terminals arranged in a medical service organization) arranged all over, for an online consultation process, the doctor needs to interact with the user repeatedly, and can accurately push medical response information of medical services for the user according to the latest medical service entries so as to facilitate the user to continue consultation and navigation according to the required information; when some patients belong to injured patients to consult information, if the wound is long and deep and suturing needs to be carried out, the dosage of the suture needs to be estimated and recorded, and the management of medical consumables is facilitated.
However, the existing methods for estimating the amount of suture for the wound of a patient mostly depend on the experience of doctors, and because different doctors have different opinions and experiences for the same wound and estimate the amount of suture, the condition that the standard cannot be unified, the management of consumables is disordered easily occurs, and the management of transparentization and publicity is not facilitated.
Disclosure of Invention
The invention aims to provide a suture usage estimation method and system based on injury picture data analysis, which solve the following technical problems:
how to provide a method and a system which can intelligently give suture usage estimation according to wound conditions.
The purpose of the invention can be realized by the following technical scheme:
a suture usage estimation method based on injury picture data analysis comprises the following steps:
s1, acquiring an injury standard picture and injury label data of a target wound;
s2, selecting a corresponding estimation model according to the injury label data;
s3, inputting the injury standard picture into the estimation model to obtain an output suture usage estimation value;
s4, setting a suture guide marking point;
wherein the wound label data comprises a body part of the target wound and a time of injury and a wound depth.
Through the technical scheme, if the target wound appears along the head, the cheek, the neck, the shoulder and the like, because the skin tightness and the muscle quantity are different, the suture lengths required by the incised wounds with the same length on different parts of the body are different, a proper estimation model can be selected according to the wound standard picture and the wound label data of the target wound, and then a relatively accurate suture usage estimation value can be obtained, so that the interruption of the suture process caused by less suture estimation amount is avoided, or a doctor takes an excessive amount of suture and uses less suture but does not know the condition of the patient, and the calculation of the suture estimation amount is also beneficial to more transparent and public intuitive wound danger feeling for families of the patient; the suture guidance marking points can provide the intern with suture guidance reference and also can be convenient for teachers to guide and correct errors.
As a further scheme of the invention: the S1 comprises:
obtaining a starting end and an end point of the target wound;
acquiring the wound depth change condition and the body part change condition between the starting end and the finishing end;
segmenting according to the number of the body parts involved in the target wound, and calculating the average depth of each segment of the target wound.
Through the technical scheme, under the condition that the lengths of wounds are the same and body parts where the wounds are located are also the same, the depth of the target wound can affect the total required length of the suture to a certain extent, so that segmentation can be performed according to the distribution of the target wound on different body parts, and the estimated value of the amount of the suture is calculated by combining the depth of the wound and the position of the wound from the starting end to the terminal end, so that the method is more accurate.
As a further scheme of the invention: the estimation model includes:
wherein the content of the first and second substances,L(ii) is the estimated amount of suture to be used in the wound of interest,nis the number of segments of the target wound,
is as followsiThe stitch coefficient of the segment is such that,
is as followsiThe length of the wound on the surface of the segment,
is as followsiThe average wound depth of the segments is,
is as followsiThe standard wound depth of the section, K is a proportionality coefficient,
is a compensation factor.
Through the technical scheme, the standard wound depth is preset
N represents the total number of segments of the target wound, indicating that the target wound spans at most n body part regions; in the calculation process, the estimated amount of the suture of each section of target wound is independently calculated and is influenced by the ratio of the average wound depth of the section of target wound to the standard wound depth of the part, and in order to improve the estimation accuracy, the standard wound depths of different parts of the body are different, and the suture coefficients are also different; and to allow for the suture to begin and end and adjacent body partsMore loss occurs at the bit connection, and n segments indicate that n +1 positions need to be compensated.
As a further scheme of the invention: the wound label data comprises the severity of the target wound, the higher the severity, the compensation factor
The larger the compensation factor, and vice versa
The smaller.
Through above-mentioned technical scheme, can adjust the compensation coefficient according to the severity of wound, the condition of injury is heavier, and the possibility that needs to carry out bigger compensation is bigger.
As a further scheme of the invention: the S1 further includes:
keeping the shooting distance constant, wherein the shooting distance is the vertical distance between a shooting point and the body contour surface where the target wound is located;
starting shooting from the starting end of the target wound and finishing shooting to the terminal end to obtain m sampling pictures; m is at least 2;
joining and combining the m terminal ends according to a shooting sequence to obtain an injury situation real image;
and performing wound delineation on the target wound in the injury real image and dividing according to the region of the body part to obtain a black-and-white injury standard image reflecting the outline of the target wound.
Through the technical scheme, the shooting distance influences the estimated precision of the suture line to a certain extent, so that the shooting distance is guaranteed to be constant as far as possible, the human body contour is extremely uneven, the larger m is, the more accurate the obtained injury real image is, but in order to guarantee the identification of a subsequent estimation model, the size of the injury real image obtained by splicing is difficult to keep uniform and difficult to directly use, so that the target wound in the injury real image can be subjected to edge tracing treatment to obtain the contour of the wound in a black-white image form, the injury standard image keeps a uniform size format, and the scaling ratio is directly related to the selection of the shooting distance.
As a further scheme of the invention: determining the number p of malformed contours according to the target wound contour;
the malformed contour is: in a preset range on the contour line of the target wound contour, the actual unfolding length of the contour line is larger than the maximum length of the preset range by s times.
Through the technical scheme, the preset range is randomly set on the contour line, and if the preset range is a circle with the diameter of R and the actual unfolding length of the contour line framed by the circle is greater than sR, the contour line in the preset range can be regarded as 1 deformed contour.
As a further scheme of the invention: the suture guide marking points are a plurality of markers which are arranged on the wound situation graph and provided with suture sequence and position prompts.
As a further scheme of the invention: a suture usage estimation system based on injury picture data analysis comprises:
the sampling acquisition module is used for acquiring an injury standard picture and injury label data of a target wound;
the selection module is used for selecting a corresponding estimation model according to the injury label data;
the algorithm library comprises a plurality of estimation models, and the estimation models are used for outputting suture usage estimation values of the target wounds according to the injury standard pictures and the injury label data;
and the indicating module is used for providing a suture guide marking point.
The invention has the beneficial effects that:
(1) If the target wound appears along the head, the cheek, the neck, the shoulder and the like, because the skin tightness and the muscle quantity are different, the suture lengths required by incised wounds with the same length on different parts of the body are different, a proper estimation model can be selected according to the injury standard picture and the injury label data of the target wound, then a relatively accurate suture usage estimation value can be obtained, the interruption of the suture process caused by less suture estimation amount is avoided, or a doctor takes excessive suture but uses less suture but does not know the condition of the patient, and the calculation of the suture estimation amount is also beneficial to more transparent and open intuitive wound dangerous feeling for family members of the patient; the suture guidance marking points can provide reference for a intern with suture guidance, and can also facilitate the teacher with teaching to guide and correct errors;
(2) Under the conditions that the lengths of wounds are the same and body parts are the same, the depth of the target wound can influence the total required length of the suture to a certain extent, so that segmentation can be performed according to the distribution of the target wound on different body parts, and the estimated value of the suture amount is calculated by combining the wound depth and the wound position from the starting end to the terminal end, so that the method is more accurate;
(3) Presetting a standard wound depth
N represents the total number of segments of the target wound, indicating that the target wound spans at most n body part regions; in the calculation process, the estimated amount of the suture of each section of target wound is independently calculated and is influenced by the ratio of the average wound depth of the section of target wound to the standard wound depth of the part, and in order to improve the estimation accuracy, the standard wound depths of different parts of the body are different, and the suture coefficients are also different; considering that the suture has more loss at the beginning and the end and at the joint of adjacent body parts, if n sections exist, the n +1 positions need to be compensated;
(4) The shooting distance influences the estimated precision of the suture line to a certain extent, so that the shooting distance is guaranteed to be constant as much as possible during shooting, the larger the m is, the more accurate the obtained injury real image is due to the fact that the outline of a human body is not flat, but in order to guarantee the identification of a subsequent estimation model, the size of the spliced injury real image is difficult to keep uniform and difficult to directly use, a target wound in the injury real image can be subjected to edge tracing processing, the outline of the wound in a black-white image form is obtained, the injury standard image keeps uniform size format, and the scaling ratio is directly related to the selection of the shooting distance.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a partial schematic flow chart of a method for estimating the amount of suture used in 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.
Referring to fig. 1, the present invention provides a suture usage estimation method based on data analysis of injury picture, including:
s1, acquiring an injury standard picture and injury label data of a target wound;
s2, selecting a corresponding estimation model according to the injury label data;
s3, inputting the injury standard picture into the estimation model to obtain an output suture usage estimation value;
s4, setting a suture guide marking point;
wherein the wound label data comprises a body part and a time of injury and a wound depth of the target wound.
Through the technical scheme, if the target wound appears along the head, cheek, neck, shoulder and the like, because the skin tightness and the muscle number are different, the suture lengths required by incised wounds with the same length on different parts of the body are different, a proper estimation model can be selected according to the standard pictures of the wound condition of the target wound and the label data of the wound condition, then a relatively accurate suture usage estimation value can be obtained, the interruption of the suture process caused by less suture estimation amount is avoided, or a doctor takes excessive suture and uses less suture but does not know the condition of the patient, and the calculation of the suture estimation amount is also beneficial to more transparent and public intuitive wound dangerous feeling for the family members of the patient; the suture guidance marking points can provide reference for the intern for suture guidance and can also facilitate the teacher with the teaching to guide and correct the errors.
As a further scheme of the invention: the S1 comprises:
obtaining a starting end and an end point of the target wound;
acquiring the wound depth change condition and the body part change condition between the starting end and the finishing end;
segmenting according to the number of the body parts involved in the target wound, and calculating the average depth of each segment of the target wound.
Through the technical scheme, under the condition that the lengths of wounds are the same and body parts where the wounds are located are also the same, the depth of the target wound can affect the total required length of the suture to a certain extent, so that segmentation can be performed according to the distribution of the target wound on different body parts, and the estimated value of the amount of the suture is calculated by combining the depth of the wound and the position of the wound from the starting end to the terminal end, so that the method is more accurate.
As a further scheme of the invention: the estimation model includes:
wherein the content of the first and second substances,Lan estimate of the amount of suture used for the wound of interest,nis the number of segments of the target wound,
is as followsiThe stitch coefficient of the segment is such that,
is a firstiThe length of the wound on the surface of the segment,
is as followsiThe average wound depth of the segments is,
is as followsiThe standard wound depth of the section, K is a proportionality coefficient,
to compensate the coefficients.
Through the technical scheme, the standard wound depth is preset
N represents the total number of segments of the target wound, indicating that the target wound spans at most n body part regions; in the calculation process, the estimated amount of the suture of each section of target wound is independently calculated and is influenced by the ratio of the average wound depth of the section of target wound to the standard wound depth of the part, and in order to improve the estimation accuracy, the standard wound depths of different parts of the body are different, and the suture coefficients are also different; and considering that the suture is more worn at the beginning and end and at the joint of adjacent body parts, n segments indicate that n +1 segments need to be compensated.
As a further scheme of the invention: the injury label data includes a severity of the target wound, the higher the severity, the compensation factor
The larger the compensation factor, and vice versa
The smaller.
Through above-mentioned technical scheme, can adjust the compensation coefficient according to the severity of wound, the condition of injury is heavier, and the possibility that needs to carry out bigger compensation is bigger.
As a further scheme of the invention: the S1 further comprises:
keeping the shooting distance constant, wherein the shooting distance is the vertical distance between a shooting point and the body contour surface where the target wound is located;
starting shooting from the starting end of the target wound and finishing shooting to the terminal end to obtain m sampling pictures; m is at least 2;
joining and combining the m terminal ends according to a shooting sequence to obtain an injury situation real image;
and performing wound delineation on the target wound in the injury real image and dividing according to the region of the body part to obtain a black-and-white injury standard image reflecting the outline of the target wound.
Through the technical scheme, the shooting distance influences the estimated precision of the suture line to a certain extent, so that the shooting distance is guaranteed to be constant as far as possible, the human body contour is extremely uneven, the larger m is, the more accurate the obtained injury real image is, but in order to guarantee the identification of a subsequent estimation model, the size of the injury real image obtained by splicing is difficult to keep uniform and difficult to directly use, so that the target wound in the injury real image can be subjected to edge tracing treatment to obtain the contour of the wound in a black-white image form, the injury standard image keeps a uniform size format, and the scaling ratio is directly related to the selection of the shooting distance.
As a further scheme of the invention: determining the number p of malformed contours according to the target wound contour;
the deformed profile is: in a preset range on the contour line of the target wound contour, the actual unfolding length of the contour line is larger than the maximum length of the preset range by s times.
Through the technical scheme, the preset range is randomly arranged on the contour line, and if the preset range is a circle with the diameter of R, and the actual unfolding length of the contour line framed and selected by the circle is greater than sR, the contour line in the preset range can be regarded as 1 malformed contour.
As a further scheme of the invention: the suture guiding marker points are a plurality of markers with suture sequence and position indication arranged on the injury picture.
As a further scheme of the invention: a suture usage estimation system based on injury picture data analysis comprises:
the sampling acquisition module is used for acquiring an injury standard picture and injury label data of a target wound;
the selection module is used for selecting a corresponding estimation model according to the injury label data;
the algorithm library comprises a plurality of estimation models, and the estimation models are used for outputting suture usage estimation values of the target wounds according to the injury standard pictures and the injury label data;
and the indicating module is used for providing a suture guide marking point.
In summary, when the method is applied to the injured patient, if the target wound of the injured patient appears along the head, cheek, neck, shoulder, etc., considering the difference of the body contour fluctuation, the skin tightness degree and the muscle number, it is necessary to ensure that the shooting distance is kept constant when the injury standard picture is obtained, and the suture length required by the target wound is related to the factors of the body part, the wound depth, etc., so that an appropriate estimation model can be selected according to the injury standard picture and the injury label data of the target wound, and then the estimation model can be obtained correspondingly. Under the conditions that the lengths of wounds are the same and body parts are the same, the depth of the target wound can influence the total required length of the suture line to a certain extent, so that segmentation can be performed according to the distribution of the target wound on different body parts, and the estimated value of the suture line amount is calculated by combining the depth of the wound and the position of the wound from the starting end to the end point, so that the calculation is more accurate; in the calculation process, the estimated suture amount of each section of target wound is calculated independently and is influenced by the ratio of the average wound depth of the section of target wound to the standard wound depth of the part, and in order to improve the estimation accuracy, the standard wound depths of different parts of the body are different, and the suture coefficients are also different; and considering that the suture has more loss at the beginning and the end and at the joint of adjacent body parts, if n sections exist, the n +1 positions need to be compensated, and the estimated precision of the suture is comprehensively ensured.
Although one embodiment of the present invention has been described in detail, the description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (6)
1. A suture usage amount estimation method based on injury picture data analysis is characterized by comprising the following steps: s1, acquiring an injury standard picture and injury label data of a target wound; s2, selecting a corresponding estimation model according to the injury label data; s3, inputting the injury standard picture into the estimation model to obtain an output suture usage estimation value; s4, setting a suture guide marking point; wherein the wound label data comprises a body part of the target wound and a time of injury and a wound depth; the S1 comprises: obtaining a starting end and a terminal end of the target wound; acquiring the wound depth change condition and the body part change condition between the starting end and the finishing end; segmenting according to the number of the body parts involved in the target wound, and calculating the average depth of each segment of the target wound; the estimation model comprises:
(ii) a Wherein the content of the first and second substances,L(ii) is the estimated amount of suture to be used in the wound of interest,nis the number of segments of the target wound,
is as followsiThe stitch coefficient of the segment is such that,
is a firstiThe length of the wound on the surface of the segment,
is as followsiThe average wound depth of the segments is,
is as followsiThe standard wound depth of the section, K is a proportionality coefficient,
is a compensation factor.
2. The method of claim 1, wherein the wound label data comprises a severity of the target wound, and the higher the severity, the compensation factor
The larger the compensation factor, and vice versa
The smaller.
3. The method for estimating the amount of suture used based on the data analysis of the injury picture as claimed in claim 1, wherein the S1 further comprises: keeping the shooting distance constant, wherein the shooting distance is the vertical distance between a shooting point and the body contour plane where the target wound is located; starting shooting from the starting end of the target wound and finishing shooting to the terminal end to obtain m sampling pictures; m is at least 2; joining and combining m terminal ends according to a shooting sequence to obtain an injury situation real image; and performing wound delineation and division according to the body part region of the target wound in the wound situation real image to obtain a black and white wound situation standard image reflecting the outline of the target wound.
4. The suture usage amount estimation method based on injury picture data analysis as claimed in claim 1, wherein the number p of malformed contours is determined according to the target wound contour; the malformed contour is: and in a preset range on the contour line of the target wound contour, the actual unfolding length of the contour line is greater than the maximum length of the preset range by s times.
5. The method for estimating the amount of suture based on the data analysis of the picture of the injury according to claim 3, wherein the suture guide markers are a plurality of markers with suture sequence and position indication, which are arranged on the actual injury map.
6. A suture usage estimation system based on casualty picture data analysis employing the method of claim 1 comprising: the sampling acquisition module is used for acquiring an injury standard picture and injury label data of a target wound; the selection module is used for selecting a corresponding estimation model according to the injury label data; the algorithm library comprises a plurality of estimation models, and the estimation models are used for outputting suture usage estimation values of the target wounds according to the injury standard pictures and the injury label data; and the indicating module is used for providing a suture guide marking point.
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| CN203169176U (en) * | 2013-04-08 | 2013-09-04 | 中国人民解放军第四军医大学 | Disposable measuring ruler for wound evaluation |
| DE102015003254A1 (en) * | 2015-03-16 | 2016-09-22 | Fresenius Medical Care Deutschland Gmbh | Textile fabric for application to the skin and / or a wound of a patient and transdermal patch and arrangement of a transdermal patch and an evaluation unit |
| CN110719752A (en) * | 2017-05-31 | 2020-01-21 | 卡托森斯公司 | Measuring wound healing |
| CN111225611A (en) * | 2017-10-17 | 2020-06-02 | 克罗尼卡雷私人有限公司 | System and method for assisting in analyzing a wound in a target object |
| CN108814613A (en) * | 2018-05-21 | 2018-11-16 | 中南大学湘雅医院 | Wound intelligent measurement method and traverse measurement terminal |
| CN111184517A (en) * | 2020-01-14 | 2020-05-22 | 南方医科大学珠江医院 | Wound measuring and recording system |
| WO2021147435A1 (en) * | 2020-08-27 | 2021-07-29 | 平安科技（深圳）有限公司 | Automated injury condition image checking method and apparatus, electronic device, and storage medium |
| CN112053349A (en) * | 2020-09-03 | 2020-12-08 | 重庆市公安局沙坪坝区分局 | Injury image processing method for forensic identification |
| CN112107331A (en) * | 2020-09-22 | 2020-12-22 | 重庆医科大学附属第三医院(捷尔医院） | Medical measuring system |
| CN113017570A (en) * | 2021-03-09 | 2021-06-25 | 张文韬 | Orthopedic wound infection evaluation method and system |
| CN113133802A (en) * | 2021-04-20 | 2021-07-20 | 四川大学 | Bone surgery line automatic positioning method based on machine learning |
| CN113393420A (en) * | 2021-05-07 | 2021-09-14 | 温州医科大学 | Intelligent wound assessment method based on infrared thermal imaging technology |
| CN216394154U (en) * | 2021-05-19 | 2022-04-29 | 厦门大学附属第一医院 | Line box of colored operation stylolite |
| CN114066872A (en) * | 2021-11-24 | 2022-02-18 | 苏州天下布医信息科技有限公司 | Self-iteration wound evaluation system based on deep camera shooting and deep learning |
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