CN114694822A - Animal scanning method, device and system - Google Patents
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Abstract
The invention relates to an animal scanning method, which comprises the following steps: acquiring the species of an animal to be scanned; identifying the type of an animal cabin where an animal to be scanned is located, and judging whether the type of the animal to be scanned is matched with the type of the animal cabin; if the type of the animal to be scanned is matched with the type of the animal cabin, matching according to the type of the animal to be scanned and presenting a corresponding scanning protocol; and scanning according to a corresponding scanning protocol or a scanning protocol customized by a user. The invention improves the efficiency of animal scanning and the scanning precision and effect.
Description
Technical Field
The invention relates to the technical field of animal imaging, in particular to an animal scanning method, device and system.
Background
Before the animal is subjected to preclinical image scanning, a corresponding scanning protocol needs to be set, after the scanning protocol is determined, the animal is positioned according to the optimal scanning body position corresponding to the scanning protocol, and then scanning is carried out. In positioning an animal, the animal is usually anesthetized and then fixed in position to avoid movement of the animal.
At present, the judgment of animal species adopts artificial identification; the type of the animal chamber is also determined by the experience of the operator. Before scanning, basic information of animals needs to be manually input, and when setting and selecting a scanning protocol, a manual selection mode is usually adopted, so that the mode is low in efficiency, easy to make mistakes and not suitable for inexperienced operators.
Disclosure of Invention
In view of the above, it is desirable to provide an animal scanning method, device and system, which solve the problems of low scanning efficiency and easy error.
The invention provides an animal scanning method, which comprises the following steps:
acquiring the species of an animal to be scanned;
identifying the type of an animal cabin where an animal to be scanned is located, and judging whether the type of the animal to be scanned is matched with the type of the animal cabin;
if the type of the animal to be scanned is matched with the type of the animal cabin, matching according to the type of the animal to be scanned and presenting a corresponding scanning protocol;
and scanning according to a corresponding scanning protocol or a scanning protocol customized by a user.
In another embodiment of the present invention, before the scanning according to the user-defined scanning protocol, the method further includes: and judging whether the user-defined scanning protocol is matched with the type of the animal to be scanned, and if not, prompting to modify the user-defined scanning protocol.
In another embodiment of the present invention, before acquiring the species of the animal to be scanned, the method further includes:
acquiring a physiological signal and an animal image of an animal to be scanned, judging whether the animal to be scanned survives or not by combining the physiological signal and the animal image, if so, identifying the type of the animal to be scanned according to the physiological signal, and otherwise, outputting an animal sample replacement prompt.
In another embodiment of the present invention, identifying the species of the animal to be scanned based on the physiological signal comprises:
setting physiological signal ranges of different animals and establishing a physiological signal database;
and matching the animal species corresponding to the physiological signals in the physiological signal database to obtain the species of the animal to be scanned.
In another embodiment of the present invention, identifying the type of the animal chamber in which the animal to be scanned is located, and determining whether the type of the animal to be scanned matches the type of the animal chamber includes:
the type of the animal cabin comprises the type of the corresponding animal bed and the number of the animal beds;
acquiring the occupation condition of each animal bed in the animal cabin;
identifying the species of the animal to be scanned on the occupied animal bed;
and judging whether the type of the animal to be scanned is the same as the type of the animal bed, if so, matching the type of the animal to be scanned with the type of the animal cabin, and otherwise, not matching.
In another embodiment of the present invention, before performing scanning according to a corresponding scanning protocol or performing scanning according to a scanning protocol customized by a user, the method further includes:
acquiring an optimal scanning body position corresponding to a scanning protocol;
acquiring an animal image of an animal to be scanned, and identifying the actual body position of the animal to be scanned according to the animal image;
calculating the similarity between the actual body position and the scanning body position;
and judging whether the similarity is greater than a set threshold value, if not, outputting body position adjustment parameters for guiding body position adjustment, and scanning until the similarity between the actual body position and the scanning body position is greater than the set threshold value.
In another embodiment of the invention, identifying the actual body position of the animal to be scanned from the animal image comprises:
and identifying the characteristic points in the animal image as actual characteristic points, and combining the coordinates of the actual characteristic points to obtain the actual body position.
In another embodiment of the present invention, calculating the similarity between the actual body position and the scanning body position comprises:
the scanning body position comprises scanning characteristic points which correspond to the actual characteristic points one by one;
calculating the sum of the distances between each actual characteristic point and the corresponding scanning characteristic point to serve as distance similarity;
connecting any two actual characteristic points to obtain a plurality of actual characteristic lines;
connecting any two scanning characteristic points to obtain a plurality of scanning characteristic lines;
calculating the sum of angles between each actual characteristic line and the corresponding scanning characteristic line to serve as angle similarity;
and calculating the weighted sum of the distance similarity and the angle similarity to obtain the similarity.
The invention also provides an animal scanning device, which comprises a processor and a memory, wherein the memory is stored with a computer program, and the computer program realizes the animal scanning method when being executed by the processor.
The invention also provides an animal scanning system, which comprises the animal scanning device, an animal cabin, an image acquisition device and a physiological signal detection device;
the animal cabin is used for placing an animal to be scanned;
the image acquisition device is used for shooting an animal image of an animal to be scanned and sending the animal image to the animal scanning device;
the physiological signal detection device is used for detecting a physiological signal of an animal to be scanned and sending the physiological signal to the animal scanning device;
the animal scanning device is used for scanning an animal to be scanned.
Has the advantages that: according to the invention, the automatic matching of the scanning protocols is carried out according to the types of the animals, when the scanning protocols are matched, the basic information of the animals does not need to be manually input, the matched scanning protocols are presented to a user, and if the user is not satisfied with the matched scanning protocols, the self-definition of the scanning protocols can be carried out, so that the flexibility of the selection of the scanning protocols is stronger. Meanwhile, before the scanning protocols are matched, the matching condition of the animal and the animal cabin is automatically judged, and the subsequent scanning protocol determination and scanning process are carried out on the premise of ensuring the matching of the animal and the animal cabin, so that the animal scanning process with higher automation degree is realized.
Drawings
Fig. 1 is a flow chart of a method of animal scanning according to an embodiment of the present invention;
fig. 2 is a schematic diagram of similarity calculation of an animal scanning method according to an embodiment of the present invention;
fig. 3 is a diagram of an animal cabin registration information input interface of an animal scanning method according to an embodiment of the present invention;
fig. 4 is an architecture diagram of an animal scanning system provided in one embodiment of the present invention.
Detailed Description
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate preferred embodiments of the invention and together with the description, serve to explain the principles of the invention and not to limit the scope of the invention.
As shown in fig. 1, one embodiment of the present invention provides an animal scanning method, comprising the steps of:
s1, acquiring the species of the animal to be scanned;
s2, identifying the type of an animal cabin where an animal to be scanned is located, and judging whether the type of the animal to be scanned is matched with the type of the animal cabin;
s3, if the type of the animal to be scanned is matched with the type of the animal cabin, matching according to the type of the animal to be scanned and presenting a corresponding scanning protocol;
and S4, scanning according to the corresponding scanning protocol or the scanning protocol customized by the user.
The embodiment first identifies the type of the animal to be scanned and also performs automatic identification of the type of the animal chamber. After the identification of the types of the animals and the types of the animal cabins is completed, the matching judgment of the animal cabins and the animals can be completed, and if the animal cabins are not matched with the animals, a user is prompted to replace the animals; if the animal compartment is matched with the animal, the corresponding scanning protocol can be matched according to the animal type.
Specifically, because data such as a scanned image of an animal to be scanned need to be transmitted to a scanning terminal outside the animal cabin during scanning, a data transmission interface is arranged on the animal cabin, and the type of the animal cabin can be identified through the type of the data transmission interface and the type of the transmitted data.
The selection of the scanning protocol can be realized by adopting two modes of automatic matching or user self-defining. The automatic matching of the scanning protocols can be realized by establishing a scanning protocol library, establishing corresponding scanning protocols for each scanning area of each animal, and automatically matching in the scanning protocol library according to the type and the scanning area of the animal to be scanned. If the user feels that the scanning protocol obtained by automatic matching is wrong or the matching degree is not high, or an experienced operator considers that the scanning protocol obtained by automatic matching needs to be modified, the user-defined setting of the scanning protocol can be carried out.
And after the scanning protocol is determined, the subsequent scanning process can be completed.
The animal species is identified before animal scanning is carried out, so that automatic matching of scanning protocols is carried out according to the animal species, basic information of animals does not need to be manually input when the scanning protocols are matched, the basic information is presented to a user after the scanning protocols are matched, and the user can customize the scanning protocols if the user is not satisfied with the matched scanning protocols, so that the flexibility of selecting the scanning protocols is stronger. Meanwhile, before the scanning protocols are matched, the matching condition of the animal and the animal cabin is automatically judged, and the subsequent scanning protocols are determined and the scanning process is carried out on the premise of ensuring the matching of the animal and the animal cabin, so that the automation degree of the scanning process is further improved.
In an embodiment of the present invention, before performing scanning according to a user-defined scanning protocol, the method further includes: and judging whether the scanning protocol customized by the user is matched with the type of the animal to be scanned, and if not, prompting to modify the scanning protocol customized by the user.
In one embodiment of the invention, after the scanning protocols are matched, the scanning protocols and the corresponding optimal scanning body position output values thereof can be displayed on the scanning terminal so as to be convenient for a user to check and guide the positioning of animals. After the scanning terminal displays the scanning protocol and the optimal scanning body position corresponding to the scanning protocol, a user can manually check the matched scanning protocol and scanning body position on the scanning terminal, and if the user feels that the automatic matching result is not proper, the user can not select the automatically recommended scanning protocol and optimal scanning body position, but manually set the scanning protocol and scanning body position, or modify the matched scanning protocol and scanning body position. Preferably, the scanning body position is displayed in a body state model diagram mode, the body state model diagram of the animal is displayed at the scanning terminal, when a mouse of a user moves to a certain position on the body state model diagram of the animal, a corresponding body part icon on the body state model diagram can be automatically highlighted and highlighted, and meanwhile, scanning protocols matched with the current body state model diagram can be displayed in a list mode for the user to select, wherein the optimal scanning protocol recommended by automatic matching and the optimal scanning body position can also be highlighted and displayed, so that comparison and modification of operators are facilitated. According to different types of animals, different body state model diagrams and scanning protocols are supported: for example, the mouse supports whole body scanning, brain scanning and the like, and the canine supports single/multi-bed, chest, brain and the like scanning.
In an embodiment of the present invention, before acquiring the species of the animal to be scanned, the method further includes:
acquiring a physiological signal and an animal image of an animal to be scanned, judging whether the animal to be scanned survives or not by combining the physiological signal and the animal image, if so, identifying the type of the animal to be scanned according to the physiological signal, and otherwise, outputting an animal sample replacement prompt.
In one embodiment of the invention, before scanning, the survival state of the animals is judged by combining the physiological signal and the animal image signal, so that the condition that some animals die due to intolerance to narcotics or other reasons and are not found in time by a user and invalid scanning occurs is avoided. Specifically, if the physiological signal does not exist and the animal to be scanned is not identified in the animal image, it is determined that the animal is not placed in the scanning area; if the physiological signal exists and the animal to be scanned can be identified in the animal image, judging that the animal is placed in the scanning area and survives; if the physiological signal does not exist, but the animal to be scanned can be identified in the animal image, the animal is judged to die.
After the animal to be scanned is determined to be in a survival state, the type of the animal to be scanned can be identified according to the physiological signal.
In one embodiment of the present invention, identifying the kind of the animal to be scanned according to the physiological signal comprises:
setting physiological signal ranges of different animals and establishing a physiological signal database;
and matching the animal species corresponding to the physiological signals in the physiological signal database to obtain the species of the animal to be scanned.
Currently, when the animal species is automatically identified before image scanning, it is usually realized by using a marking method, for example, by marking different animal species on ears or setting different animal species tail clips on tail of the animal to distinguish different animals. The problems with this approach are: the ears and tails of some animals are small in size and irregular in shape, so that the animals are not suitable for arranging the marks, or the arranged marks are easily shielded to influence the identification, and the arranged marks can influence the scanning effect.
In view of the above problem, the present embodiment provides a way to realize the identification of the animal species, i.e. the identification of the animal species is performed through the physiological signal. Firstly, a physiological signal database is established, for example, the physiological signal database comprises three animals including a mouse, a rat and a rabbit, and the physiological signal range of the mouse is set as follows: the body temperature is 37-39 ℃, the heart rate is 470-780 times/min, and the weight is 15-25 g; the physiological signal range of the rat was set as: the body temperature is 37.8-38.8 ℃, the heart rate is 260-; the physiological signal range of the rabbit was set as: the body temperature is 38.5-39.5 ℃, the heart rate is 180-. After the physiological signal database is established, acquiring physiological signals of the animal to be scanned, matching in the physiological signal database, matching animal species of which all physiological signals of the animal to be scanned are in the corresponding physiological signal range, and obtaining the species of the animal to be scanned.
If the animal species matched with the animal to be scanned (all physiological signals are in the corresponding physiological signal range) is more than one, the animal species with the highest matching degree is selected as the final species of the animal to be scanned. The matching degree can be calculated by adopting the following formula:
wherein, PjAs a degree of match, x, of the animal to be scanned with the jth animal speciesiIs the value of the ith physiological signal of the animal to be scanned,
the physiological signal average value of the ith physiological signal of the jth animal species,
taking corresponding physiological signal rangeThe average value of the upper limit value and the lower limit value of (2) is sufficient.
And if the animal species matched with the animal to be scanned is zero, selecting the animal species with the largest number of items matched with the physiological signal of the animal to be scanned as the final species of the animal to be scanned. If the animal species with the most matched terms of the physiological signals are multiple, selecting the animal species with the highest matching degree as the final species of the animal to be scanned; the matching degree may be calculated by referring to the above formula.
The embodiment adopts the mode that physiological signal compares to realize the discernment of animal species, and physiological signal's comparison need not set up the mark on the animal body, set up the measuring device of bracelet or foot ring class on the animal body can, can realize not having the discernment of wound. Meanwhile, in the prior art, identification based on the marker usually depends on an image processing technology, the requirement of the image processing technology on hardware performance is high, comparison of physiological signals is simpler compared with identification of the marker, and the physiological signals can be realized only by comparing numerical values, so that the identification process is simpler and faster, and consumption of hardware performance is not high.
After the animal species identification is completed, the automatically identified animal species is presented to the scanning interface, and meanwhile, the physiological signals of the animal to be scanned, which are obtained through detection, are output and displayed to the scanning interface, so that a user can clearly know the current scanning state.
When the existing clinical imaging equipment is used for pre-registration before scanning, all registration information, scanning protocols, scanning parameters and the like are manually selected based on a background database, and the association degree of parameters required to be set before and after the scanning registration process is not high enough. After the animal type is identified, the embodiment can guide the user to enter the registration information according to the identified animal type. Specifically, the registration information category corresponding to each animal is set, after the identification of the animal type to be scanned is completed, the corresponding registration information category is displayed to the scanning interface according to the animal type to be scanned, so that a user is prompted to enter the registration information according to the prompt information on the scanning interface, the registration information is prevented from being missed or wrongly written by the user, and the subsequent scanning process is facilitated to be smoothly carried out.
When the registration information entry interface is set, necessary items and unnecessary items in the registration information are preferably marked. After the registration information is input, automatically checking the registration information, judging whether all the necessary items are input, and if not, performing supplementary input prompt.
In one embodiment of the present invention, identifying the type of the animal chamber in which the animal to be scanned is located, and determining whether the type of the animal to be scanned is matched with the type of the animal chamber includes:
the type of the animal cabin comprises the type of the corresponding animal bed and the number of the animal beds;
acquiring the occupation condition of each animal bed in the animal cabin;
identifying the species of the animal to be scanned on the occupied animal bed;
and judging whether the type of the animal to be scanned is the same as the type of the animal bed, if so, matching the type of the animal to be scanned with the type of the animal cabin, and otherwise, not matching.
In this embodiment, the animal compartments include animal compartments for different types of animals, such as: mouse cabin, rat cabin, rabbit cabin. And one animal compartment may include a plurality of animal beds, for example: the device comprises a single mouse cabin, two mouse cabins, four mouse cabins, a single rat cabin, two rat cabins and a single rabbit cabin.
In the embodiment, after the type of the animal chamber is detected, the registration page is dynamically set according to the number of beds to guide the user to enter the registration information, and the entry of the registration information of each scanned object is supported, so that the subsequent scanning process is realized. And after the type of the animal cabin is detected, displaying the animal cabin model, and inputting registration information of the corresponding scanned object by selecting different beds by a user. Specifically, as shown in fig. 3, when the workstation detects that an animal cabin (4 mouse animal cabins) in which 4 mice can be placed at the same time, the registration page displays 4 beds, that is, circular icons with numbers "1, 2, 3, and 4" at the upper right corner in fig. 3, and a user can click corresponding numbers in the circular icons to enter registration information of the animals to be scanned in the corresponding beds. After the registration information is recorded, automatically checking the registration information, judging whether all the necessary registration information is recorded, and if not, carrying out supplementary recording prompt.
For the animal cabin with multiple beds, before registration information is recorded, the occupation condition of each bed is judged, and the bed is set to be in an unused state or a used state according to the occupation condition of the bed. If a certain bed or certain beds of the multi-bed animal chamber are not provided with scanning objects, the beds can be set to be unused on the registration page. When a bed is set to be in an unused state, the registration system does not check the scanning object information corresponding to the unused bed when checking that the registration information must be filled.
The judgment of the occupation condition of the bed can be realized by combining the corresponding physiological signals and the corresponding animal images at the bed, and the judgment can be carried out by referring to the animal survival judgment mode. Namely: if the physiological signal does not exist and the animal to be scanned is not identified in the animal image, judging that the animal is not placed in the scanning area, namely the bed is in an unused state; if the physiological signal exists and the animal to be scanned can be identified in the animal image, judging that the animal is placed in the scanning area and survives, namely the bed is in a used state; if the physiological signal does not exist, but the animal to be scanned can be identified in the animal image, the animal is judged to die, namely the bed is in a used state, but the scanning cannot be carried out, and the animal needs to be replaced.
Specifically, the scan object basic registration information includes, but is not limited to: name, placement, sex, age, weight, length, species, description; registration information for injected drugs includes, but is not limited to: drug name, nuclide, dose, injection date, injection time.
In an embodiment of the present invention, before scanning according to a corresponding scanning protocol or scanning according to a scanning protocol defined by a user, the method further includes:
acquiring a scanning body position corresponding to a scanning protocol;
acquiring an animal image of an animal to be scanned, and identifying the actual body position of the animal to be scanned according to the animal image;
calculating the similarity between the actual body position and the scanning body position;
and judging whether the similarity is greater than a set threshold value, if not, outputting body position adjustment parameters for guiding body position adjustment, and scanning until the similarity between the actual body position and the scanning body position is greater than the set threshold value.
The animal is placed according to the determined scanning protocol and the scanning body position, before formal scanning, the similarity between the actual body position of the animal to be scanned and the optimal scanning body position corresponding to the scanning protocol is evaluated, the similarity directly reflects the matching degree between the scanning protocol and the current actual body position of the animal to be scanned, only when the matching degree meets the scanning requirement, namely the similarity is greater than a set threshold value, the animal can be directly scanned, otherwise, the actual body position of the animal needs to be adjusted, and when the matching degree between the actual body position and the scanning protocol meets the requirement, scanning operation is carried out. When the animal body position is adjusted, the body position adjusting parameters are output to guide the animal body position to be quickly adjusted towards the correct direction.
According to the embodiment of the invention, when the matching degree between the scanning protocol and the actual body position is poor and the difference is large, the body position adjusting parameter is output, and the body position is adjusted according to the body position adjusting parameter until the similarity is larger than the set threshold value, and then scanning is performed, so that the matching degree between the scanning protocol and the actual body position is ensured, the scanning precision and effect are ensured, and the intelligent animal scanning process with higher automation degree is realized.
In one embodiment of the present invention, identifying the actual body position of the animal to be scanned according to the animal image includes:
and identifying the characteristic points in the animal image as actual characteristic points, and combining the coordinates of the actual characteristic points to obtain the actual body position.
In this embodiment, the actual body position is described by using the feature points, and the types of the feature points for describing the body position can be selected and set according to the characteristics of the animal to be scanned and the characteristics of the scanning area, including two types of feature points, namely the feature point for describing the position and the feature point for describing the direction. For example, when the head of a mouse needs to be scanned, the eyes of the mouse can be selected as characteristic points to describe the position of the head, and then the ears and the eyes are selected to be combined to describe the direction of the head, so that the position and the direction of the head of the mouse can be comprehensively positioned, and the posture of the head of the mouse can be accurately described.
In one embodiment of the present invention, calculating the similarity between the actual body position and the scanning body position includes:
the scanning body position comprises scanning characteristic points which correspond to the actual characteristic points one by one;
calculating the sum of the distances between each actual characteristic point and the corresponding scanning characteristic point to serve as distance similarity;
connecting any two actual characteristic points to obtain a plurality of actual characteristic lines;
connecting any two scanning characteristic points to obtain a plurality of scanning characteristic lines;
calculating the sum of angles between each actual characteristic line and the corresponding scanning characteristic line to serve as angle similarity;
and calculating the weighted sum of the distance similarity and the angle similarity to obtain the similarity.
In the embodiment, when the similarity between the actual body position and the scanning body position is calculated and described, the influences of two aspects of the position (namely, the distance) and the direction (angle) are considered, so that the calculated similarity can describe the difference between the actual body position and the scanning body position from two aspects. The embodiment ensures that the actual body position and the scanning body position are scanned after reaching the qualified similarity in the two aspects.
In one embodiment of the invention, when the distance similarity is calculated, the sum of the distances of all the characteristic points is not calculated, but the sum of the distances of the characteristic points describing the positions is calculated, so that the calculation amount is reduced, and unnecessary influence of the characteristic points describing the directions on the distance similarity calculation is eliminated. Similarly, when calculating the angle similarity, the connection structure is used for describing the actual characteristic line and the scanning characteristic line of the direction, and then only the sum of the angles between the actual characteristic line and the corresponding scanning characteristic line of the direction is calculated as the angle similarity, so that the angle similarity is quickly and accurately calculated.
For example, when the head of a mouse needs to be scanned, the sum of the distances between the feature points of the two eyes can be selected as the distance similarity, then the connecting line between the intersection point of the tail and the body and the two eyes can be selected as the feature line, and the sum of the angles of the two feature lines can be calculated as the angle similarity. Specifically, as shown in fig. 2, the solid line in fig. 2 indicates the scanning posture of the mouse, and the dotted line indicates the actual posture of the mouse. Points a1, a2, A3 are all scanning feature points, a1, a2 are mouse eyes, and A3 is the intersection point of the mouse tail and the body. Points B1, B2, B3 are all actual feature points, B1, B2 are mouse eyes, and B3 is the intersection of the mouse tail and the body. The distance AB1 between the scanned feature point a1 and the actual feature point B1 was calculated, and the distance AB2 between the scanned feature point a2 and the actual feature point B2 was calculated, with AB1+ AB2 as the distance similarity. Connecting a1 with A3 to obtain a first scan feature line, and connecting a2 with A3 to obtain a second scan feature line; connecting B1 with B3 yields a first actual feature line, and connecting B2 with B3 yields a second actual feature line. And calculating an angle value between the first scanning characteristic line and the first actual characteristic line, calculating an angle value between the second scanning characteristic line and the second actual characteristic line, and taking the sum of the two angle values as the angle similarity.
Distance weight and angle weight are set, and the distance weight and the angle weight are set according to the type of the animal to be scanned and the required degree of the scanning area on the position and the direction, wherein the sum of the distance weight and the angle weight is 1.
After calculating the weighted sum of the distance similarity and the angle similarity to obtain the similarity, comparing the similarity with a set threshold, and setting the set threshold according to specific requirements, which is set to 1 in this embodiment.
In one embodiment of the present invention, outputting the posture adjustment parameters for guiding the posture adjustment comprises:
and outputting the distance between each actual characteristic point and the corresponding scanning characteristic point and the angle between each actual characteristic line and the corresponding scanning characteristic line as the body position adjusting parameters.
Specifically, when the posture adjustment parameters are output, all distance parameters and all angle parameters do not need to be output. Only the distance between the feature points describing the position and the angle between the feature lines describing the direction may be output as the body position adjustment parameters.
When the body position of the animal is adjusted according to the body position adjusting parameters, the body position can be adjusted manually, preferably automatically. For example, an animal bed comprising an adjusting mechanism is provided, and after the animal is fixed on the bed through the fixing component, the animal body position is automatically adjusted by correcting the parameters of the adjusting mechanism according to the body position adjusting parameters. The adjusting mechanism comprises a rotating mechanism and a translation mechanism, the rotating mechanism is connected with the corresponding fixing component and used for driving the corresponding fixing component to rotate so as to adjust the positioning direction of the scanning area of the animal to be scanned, and the translation mechanism is connected with the corresponding fixing component and used for driving the corresponding fixing component to move so as to adjust the positioning position of the scanning area of the animal to be scanned.
Another embodiment of the invention provides an animal scanning apparatus comprising a processor and a memory, the memory having stored thereon a computer program which, when executed by the processor, implements the animal scanning method.
The animal scanning device provided by the embodiment of the invention is used for realizing the animal scanning method, so that the animal scanning device has the technical effects of the animal scanning method, and the details are not repeated herein.
As shown in fig. 4, another embodiment of the present invention provides an animal scanning system, which includes the animal scanning device 1, further includes an animal cabin 2, an image acquiring device 3, and a physiological signal detecting device 4;
the animal cabin 2 is used for placing an animal to be scanned;
the image acquisition device 3 is used for shooting an animal image of an animal to be scanned and sending the animal image to the animal scanning device 1;
the physiological signal detection device 4 is used for detecting a physiological signal of an animal to be scanned and sending the physiological signal to the animal scanning device 1;
the animal scanning device 1 is used for scanning an animal to be scanned.
A scanning bed is arranged in the animal cabin 2, and an animal to be scanned is fixed on the scanning bed. The image acquisition means 3 are implemented as a camera for taking an image of an animal to be scanned. The physiological signal detection device 4 is arranged according to a physiological signal to be detected, for example, an electronic scale is adopted when the weight of an animal needs to be detected, and an electrocardiograph monitor is adopted when the heartbeat of the animal needs to be detected. The animal chamber 2 is provided with a data interface 21 for transmitting animal images and physiological signals to the animal scanning device 1. The animal scanning device 1 receives the various signals and realizes scanning by adopting the animal scanning method provided by the invention.
The animal scanning system provided by the embodiment of the invention comprises the animal scanning device 1, so that the animal scanning device 1 has the technical effects, and the animal scanning system also has the technical effects, which are not described herein again.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.
Claims (10)
1. A method of scanning an animal, comprising the steps of:
acquiring the species of an animal to be scanned;
identifying the type of an animal cabin where an animal to be scanned is located, and judging whether the type of the animal to be scanned is matched with the type of the animal cabin;
if the type of the animal to be scanned is matched with the type of the animal cabin, matching according to the type of the animal to be scanned and presenting a corresponding scanning protocol;
and scanning according to a corresponding scanning protocol or a scanning protocol customized by a user.
2. The animal scanning method of claim 1, wherein prior to scanning according to the user-defined scanning protocol, further comprising: and judging whether the user-defined scanning protocol is matched with the type of the animal to be scanned, and if not, prompting to modify the user-defined scanning protocol.
3. The animal scanning method of claim 1, wherein prior to obtaining the species of animal to be scanned, further comprising:
acquiring a physiological signal and an animal image of an animal to be scanned, judging whether the animal to be scanned survives or not by combining the physiological signal and the animal image, if so, identifying the type of the animal to be scanned according to the physiological signal, otherwise, outputting an animal sample replacement prompt.
4. The animal scanning method of claim 3, wherein identifying the species of the animal to be scanned from the physiological signal comprises:
setting physiological signal ranges of different animals and establishing a physiological signal database;
and matching the animal species corresponding to the physiological signals in the physiological signal database to obtain the species of the animal to be scanned.
5. The method of claim 1, wherein identifying the type of animal chamber in which the animal to be scanned is located and determining whether the type of the animal to be scanned matches the type of the animal chamber comprises:
the type of the animal cabin comprises the type of the corresponding animal bed and the number of the animal beds;
acquiring the occupation condition of each animal bed in the animal cabin;
identifying the species of the animal to be scanned on the occupied animal bed;
and judging whether the type of the animal to be scanned is the same as the type of the animal bed, if so, matching the type of the animal to be scanned with the type of the animal cabin, and otherwise, not matching.
6. The animal scanning method of claim 1, wherein before scanning according to the corresponding scanning protocol or the user-defined scanning protocol, further comprising:
acquiring an optimal scanning body position corresponding to a scanning protocol;
acquiring an animal image of an animal to be scanned, and identifying the actual body position of the animal to be scanned according to the animal image;
calculating the similarity between the actual body position and the scanning body position;
and judging whether the similarity is greater than a set threshold value, if not, outputting body position adjustment parameters for guiding body position adjustment, and scanning when the similarity between the actual body position and the scanned body position is greater than the set threshold value.
7. The animal scanning method of claim 6, wherein identifying an actual posture of the animal to be scanned from the animal image comprises:
and identifying the characteristic points in the animal image as actual characteristic points, and combining the coordinates of the actual characteristic points to obtain the actual body position.
8. The animal scanning method of claim 7, wherein calculating a similarity between the actual and scanned positions comprises:
the scanning body position comprises scanning characteristic points which correspond to the actual characteristic points one by one;
calculating the sum of the distances between each actual characteristic point and the corresponding scanning characteristic point to serve as distance similarity;
connecting any two actual characteristic points to obtain a plurality of actual characteristic lines;
connecting any two scanning characteristic points to obtain a plurality of scanning characteristic lines;
calculating the sum of angles between each actual characteristic line and the corresponding scanning characteristic line to serve as angle similarity;
and calculating the weighted sum of the distance similarity and the angle similarity to obtain the similarity.
9. An animal scanning apparatus comprising a processor and a memory, the memory having stored thereon a computer program which, when executed by the processor, carries out the animal scanning method of any one of claims 1 to 8.
10. An animal scanning system, comprising the animal scanning device of claim 9, further comprising an animal chamber, an image acquisition device, a physiological signal detection device;
the animal cabin is used for placing an animal to be scanned;
the image acquisition device is used for shooting an animal image of an animal to be scanned and sending the animal image to the animal scanning device;
the physiological signal detection device is used for detecting a physiological signal of an animal to be scanned and sending the physiological signal to the animal scanning device;
the animal scanning device is used for scanning an animal to be scanned.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011636941.6A CN114694822A (en) | 2020-12-31 | 2020-12-31 | Animal scanning method, device and system |
| EP21913205.7A EP4272624A4 (en) | 2020-12-31 | 2021-09-10 | Method, apparatus and system for scanning animal |
| PCT/CN2021/117615 WO2022142458A1 (en) | 2020-12-31 | 2021-09-10 | Method, apparatus and system for scanning animal |
| US18/217,134 US20230337638A1 (en) | 2020-12-31 | 2023-06-30 | Method and system for scanning animal and computer device |
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| CN202011636941.6A CN114694822A (en) | 2020-12-31 | 2020-12-31 | Animal scanning method, device and system |
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