Subject appearance detection method and device for magnetic resonance

Abstract

The invention relates to the technical field of magnetic resonance, and provides a subject appearance detection method and device for magnetic resonance, and the method comprises the steps: classifying different subject types according to the appearance sizes of different subjects in advance, and setting a detection space needed by each subject type; defining a plurality of critical lines with shapes from large to small in sequence so as to divide all required detection spaces, and forming an appearance detection range; according to the method, the shape detection range is set, a detected body is located in the shape detection range, the type of the detected body, the corresponding shape size and the needed scanning space are judged according to the body edge information, detected by any critical line, of the detected body, and therefore an operator of magnetic resonance detection can visually know the shape size of the detected body, and the detection accuracy is improved. Whether the size of the detected body exceeds the scanning space of the magnet in the magnetic resonance equipment or not can be known in time, convenience is brought to the scanning work process, and the detection work efficiency of operators can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of magnetic resonance, and more particularly to a subject shape detection method and device for magnetic resonance. BACKGROUND

[0002] In a conventional magnetic resonance imaging system, in order to send a subject to the center or vicinity of a FOV (Field of View, imaging field of view) in the height direction and meet certain functional requirements, the design of a patient bed subsystem is relatively thick in the height direction as a whole, and occupies a large space in the scanning range of a magnet. In addition, certain large-volume receiving coils, such as a large head coil, also occupy a large space in the scanning range of the magnet. Therefore, the space available for accommodating a subject in the scanning range of the magnet is greatly compressed.

[0003] With the changing market demand, small-sized magnetic resonance devices are in great demand due to their applicability to animal detection. A small-sized magnetic resonance device considers that the volume of a subject is relatively small, and therefore a small-sized magnet is usually selected in terms of practicability and cost. However, the scanning space of a small-sized magnet is small, and an operator of the magnetic resonance detection cannot intuitively determine whether the volume of a subject exceeds the scanning space of the magnet in most cases, which is prone to cause the subject to be unable to be placed in the magnet, and is inconvenient for the operator to timely adjust the magnetic resonance device, thereby greatly affecting the detection work efficiency of the operator. SUMMARY

[0004] The technical problem to be solved by the present application is to provide a subject shape detection method and device for magnetic resonance in view of the above defects of the prior art.

[0005] The technical solution adopted by the present application to solve the technical problem is: In one aspect, the present application provides a subject shape detection method for magnetic resonance, comprising: pre-classifying different subject types according to the shape and size of different subjects, and setting the required detection space of each subject type; defining a plurality of critical lines with shapes in turn from large to small to divide all the required detection spaces, forming a shape detection range; placing a subject in the shape detection range, and determining the type of the subject, the corresponding shape size and the required scanning space according to the body edge information of the subject that can be detected by any critical line.

[0006] In some embodiments, the types of subjects include at least a first type of subject, a second type of subject, a third type of subject, and a fourth type of subject, and the sizes of the first type of subject, the second type of subject, the third type of subject, and the fourth type of subject decrease in order.

[0007] In some embodiments, a critical line of the sizes of the first type of subject and the second type of subject is a first critical line; a critical line of the sizes of the second type of subject and the third type of subject is a second critical line; and a critical line of the sizes of the third type of subject and the fourth type of subject is a third critical line. The detection spaces corresponding to the first critical line, the second critical line, and the third critical line decrease in order.

[0008] In another aspect, the present application also provides a subject size detection device for magnetic resonance, which applies the subject size detection method for magnetic resonance described in any one of the above aspects, and the device comprises: A detection table, which comprises a bed body, and a transverse accommodating groove is arranged on the upper surface of the bed body. A size detection mechanism, which is arranged on the bed body; wherein the size detection mechanism comprises a plurality of arc-shaped detection members with different inner diameters, and the plurality of arc-shaped detection members are distributed in order from large to small in terms of the inner diameter and correspond to the accommodating groove to form detection spaces.

[0009] In some embodiments, the plurality of arc-shaped detection members are all arranged on the upper surface of the bed body and above the accommodating groove, and the plurality of arc-shaped detection members are distributed in order from right to left in terms of the inner diameter.

[0010] In some embodiments, the upper surface of the bed body is further provided with two transverse sliding grooves, one of which is located on the front side of the accommodating groove, and the other of which is located on the rear side of the accommodating groove; a sliding block is arranged in each of the two sliding grooves, and both ends of the plurality of arc-shaped detection members are connected to the two sliding blocks correspondingly.

[0011] In some embodiments, the plurality of arc-shaped detection members are respectively a first limit sensing ring, a second limit sensing ring, and a third limit sensing ring, and the inner diameters of the first limit sensing ring, the second limit sensing ring, and the third limit sensing ring decrease in order.

[0012] In some embodiments, at least one side of the accommodating groove penetrates through the side wall of the bed body and is provided with a side slot; the detection table further comprises a vertical plate, which is located on one side of the bed body and corresponds to the side slot, and the plurality of arc-shaped detection members are distributed in order from top to bottom in terms of the inner diameter on one side surface of the vertical plate facing the side slot.

[0013] In some embodiments, the plurality of arc-shaped detection members are respectively a first light arc detection point array, a second light arc detection point array and a third light arc detection point array, the inner diameters of the first light arc detection point array, the second light arc detection point array and the third light arc detection point array are sequentially reduced; the first light arc detection point array, the second light arc detection point array and the third light arc detection point array all emit arc-shaped light above the accommodating groove.

[0014] In some embodiments, the light detection devices adopted by the first light arc detection point array, the second light arc detection point array and the third light arc detection point array all include any one of a laser emitter and a sensor thereof, a lamp post and a sensor thereof, and a lamp bead and a sensor thereof.

[0015] The application has the advantages that: different from the prior art, the subject shape detection method for magnetic resonance of the application classifies different subject types according to the shape and size of different subjects in advance, and sets the required detection space for each subject type; a plurality of critical lines with shapes sequentially from large to small are defined to divide all the required detection spaces, forming a shape detection range; the subject is located in the shape detection range, according to the body edge information of the subject that can be detected by any of the critical lines, the type of the subject, the corresponding shape size and the required scanning space are judged, so that the operator of the magnetic resonance detection can more intuitively understand the shape size of the subject, and it is convenient to know whether the volume of the subject exceeds the scanning space of the magnet in the magnetic resonance equipment in time, which brings convenience to the scanning work flow and improves the detection work efficiency of the operator. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 is the implementation flowchart of the subject shape detection method for magnetic resonance in embodiment one of the application; Figure 2 is a schematic diagram of the subject shape detection device for magnetic resonance in embodiment two of the application; Figure 3 is a schematic diagram of the subject shape detection device for magnetic resonance in embodiment three of the application; Marked names and serial numbers in the figure: bed body-1; accommodating groove-101; subject-100; sliding groove-102; sliding block-103; first limit sensing ring-2; second limit sensing ring-3; third limit sensing ring-4; vertical plate-5; first light arc detection point array-6; second light arc detection point array-7; third light arc detection point array-8; display screen-9. DETAILED DESCRIPTION

[0017] The terms "first", "second", "third", and "fourth" and the like in the description and in the claims of the present application and the accompanying drawings are used for distinguishing between similar objects, not necessarily for describing a particular sequential or chronological order. The terms "comprises", "comprising", "includes", "including" and the like are to be construed open- ended, meaning that they include the listed steps or elements, but not excluding others. For example, a process, method, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those listed steps or elements, but can include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

[0018] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another. It is expressly understood that that the embodiments described herein are merely possible embodiments of the application and that other embodiments can be devised by those skilled in the art without departing from the scope of the application.

[0019] "Multiple" means two or more. "And / or", describing the association relationship of the associated objects, means that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist together, and B exists alone. The character " / " generally represents that the front and rear associated objects are in an "or" relationship.

[0020] Furthermore, the terms "upper", "lower", "front", "back", "left", "right", "upper end", "lower end", and the like indicating the orientation are based on the attitude position of the device or equipment described in the present application during normal use.

[0021] In order to make the purposes, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be described clearly and completely below. Obviously, the described embodiments are part of the embodiments of the present application, not all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0022] Embodiment one: the present embodiment provides a subject shape detection method for magnetic resonance. Through the application of the method, the operator of the magnetic resonance detection can more intuitively understand the shape size of the subject, can know whether the volume of the subject exceeds the scanning space of the magnet in the magnetic resonance device in time, brings convenience to the scanning work flow, and can effectively improve the detection work efficiency of the operator.

[0023] As shown in the embodiment one, the subject shape detection method for magnetic resonance comprises the following steps: Figure 1 ​S1: different types of subjects are classified according to the sizes of the subjects, and the required detection space for each type of subject is set; In this embodiment, the classification is directly according to the sizes of the subjects, the classification interval is flexible and adjustable, and the classification result is intuitive and easy to distinguish. Since different types of subjects correspond to different required detection spaces, when a subject belonging to a certain type of subject can enter the current detection space but cannot enter the next detection space, it means that the subject belongs to the type of subject corresponding to the current detection space, and the size of the subject can be determined according to the type of subject.

[0024] S2: define a plurality of critical lines in order from large to small to divide all required detection spaces and form an external shape detection range; In this embodiment, a plurality of critical lines are defined according to the size boundaries between different types of subjects, and correspondingly, the spaces divided by the plurality of critical lines correspond to detection spaces of different sizes, and form a suitable external shape detection range.

[0025] The types of subjects include at least first type of subject, second type of subject, third type of subject and fourth type of subject, and the sizes of the first type of subject, the second type of subject, the third type of subject and the fourth type of subject decrease in order.

[0026] The critical line of the size of the first type of subject and the second type of subject is the first critical line; the critical line of the size of the second type of subject and the third type of subject is the second critical line; the critical line of the size of the third type of subject and the fourth type of subject is the third critical line; the detection spaces corresponding to the first critical line, the second critical line and the third critical line decrease in order.

[0027] Here, taking a canine as an example for illustration: for example, the first type of subject is A1 type canine, the second type of subject is A2 type canine, the third type of subject is A3 type canine, and the fourth type of subject is A4 type canine. According to the classification of the size of the canine, a plurality of critical lines are defined according to the size boundaries between different types of subjects. For example: The first critical line is defined as the maximum space cross section of the magnet scanning space for the canine, i.e. the critical line of the size of the A1 type canine and the A2 type canine, which is expressed as a here; The second critical line is defined as the critical line of the size of the A2 type canine and the A3 type canine, which is expressed as b here; The third critical line is defined as the critical line of the size of the A3 type canine and the A4 type canine, which is expressed as c here.

[0028] S3: placing the subject in the shape detection range, and judging the type of the subject according to the body edge information of the subject that can be detected by any critical line, and the corresponding shape size and the required scanning space of the subject.

[0029] In the embodiment, if the first critical line can detect the body edge information of the subject, it indicates that the subject belongs to the first type of subject; if the first critical line cannot detect the body edge information of the subject, and the second critical line can detect the body edge information of the subject, it indicates that the subject belongs to the second type of subject; if the second critical line cannot detect the body edge information of the subject, and the third critical line can detect the body edge information of the subject, it indicates that the subject belongs to the third type of subject; if the third critical line cannot detect the body edge information of the subject, it indicates that the subject belongs to the fourth type of subject. After judging the type of the corresponding subject, the corresponding shape size and the required scanning space are also clear.

[0030] Here, the foregoing dog-shaped animal is taken as an example for illustration: if a can detect the body edge information of the subject dog-shaped animal, it indicates that the subject dog-shaped animal belongs to the A1 type of dog-shaped animal; if a cannot detect the body edge information of the subject dog-shaped animal, and b can detect the body edge information of the subject dog-shaped animal, it indicates that the subject dog-shaped animal belongs to the A2 type of dog-shaped animal; if b cannot detect the body edge information of the subject dog-shaped animal, and c can detect the body edge information of the subject dog-shaped animal, it indicates that the subject dog-shaped animal belongs to the A3 type of dog-shaped animal; if c cannot detect the body edge information of the subject dog-shaped animal, it indicates that the subject dog-shaped animal belongs to the A4 type of dog-shaped animal. Correspondingly, after judging the type of the subject dog-shaped animal, the corresponding shape size and the required scanning space are also clear. In addition, the information related to the shape size of each type of dog-shaped animal and the judgment result can be displayed to the operator in a visual manner.

[0031] Embodiment two: the embodiment also provides a subject shape detection device for magnetic resonance, which applies the subject shape detection method for magnetic resonance provided in embodiment one, effectively realizes the purpose of subject shape detection, and the operator of magnetic resonance detection can more intuitively understand the shape size of the subject, can timely know whether the volume of the subject exceeds the scanning space of the magnet in the magnetic resonance equipment, brings convenience to the scanning work flow, and improves the detection work efficiency of the operator.

[0032] As Figure 2The subject outer shape detection device for magnetic resonance shown in the figure, specifically includes: a detection platform, the detection platform includes a bed body 1, the upper surface of the bed body 1 is provided with a transverse accommodating groove 101; the accommodating groove 101 is used for accommodating a subject 100. An outer shape detection mechanism is arranged on the bed body 1; wherein the outer shape detection mechanism includes a plurality of arc-shaped detection pieces with different inner diameters, which are used for detecting the body edge information of the subject 100, and the plurality of arc-shaped detection pieces are sequentially distributed in size from large to small and correspond to the accommodating groove 101 to form a detection space.

[0033] Specifically, in the embodiment, the plurality of arc-shaped detection pieces are slidably arranged on the upper surface of the bed body 1 and are located above the accommodating groove 101, and the plurality of arc-shaped detection pieces are sequentially distributed in size from large to small and are located above the accommodating groove 101. In order, the inner diameter of the arc-shaped detection piece is in contact or touch with the subject, so as to sequentially obtain the body edge information of the subject, which is simple and intuitive.

[0034] Further, in the embodiment, the upper surface of the bed body 1 is also provided with two transverse sliding grooves 102, one of which is located on the front side of the accommodating groove 101, and the other is located on the rear side of the accommodating groove 101; two sliding grooves 102 are slidably arranged in the two sliding grooves 102, and the two ends of the plurality of arc-shaped detection pieces are connected to the two sliding blocks 103. The design of the double sliding grooves 102 and the double sliding blocks 103 facilitates the sizing of the plurality of arc-shaped detection pieces and facilitates the movement of the plurality of arc-shaped detection pieces together. Each arc-shaped detection piece is in the shape of an arch bridge.

[0035] Among them, the plurality of arc-shaped detection pieces are respectively a first limit sensing ring 2, a second limit sensing ring 3 and a third limit sensing ring 4, and the inner diameters of the first limit sensing ring 2, the second limit sensing ring 3 and the third limit sensing ring 4 are sequentially reduced. The inner diameter of the first limit sensing ring 2 is greater than that of the second limit sensing ring 3, and the inner diameter of the second limit sensing ring 3 is greater than that of the third limit sensing ring 4, and the first limit sensing ring 2, the second limit sensing ring 3 and the third limit sensing ring 4 are sequentially distributed in size from right to left. The inner diameter of the first limit sensing ring 2 is, for example, 60 cm, the inner diameter of the second limit sensing ring 3 is, for example, 40 cm, and the inner diameter of the third limit sensing ring 4 is, for example, 30 cm. The first limit sensing ring 2, the second limit sensing ring 3 and the third limit sensing ring 4 are all used for contact or touch sensing.

[0036] The subject 100 is placed in the accommodating groove 101 and located at the right side of the first limiting inductive ring 2, and then the first limiting inductive ring 2, the second limiting inductive ring 3 and the third limiting inductive ring 4 are driven to move horizontally towards the subject 100 by sliding the slider 103 in the sliding groove 102, and then whether the subject 100 enters which detection space and belongs to which type is determined according to whether the body edge of the subject 100 contacts any one of the first limiting inductive ring 2, the second limiting inductive ring 3 and the third limiting inductive ring 4 during the movement, so as to obtain the determination result.

[0037] For example, if the subject 100 cannot enter the first limiting inductive ring 2, i.e. the body edge of the subject 100 can contact or touch the first limiting inductive ring 2, it indicates that the subject 100 belongs to the first type; if the subject 100 can enter the first limiting inductive ring 2 but cannot enter the second limiting inductive ring 3, i.e. the body edge of the subject 100 can contact or touch the second limiting inductive ring 3, it indicates that the subject 100 belongs to the second type; if the subject 100 can enter the second limiting inductive ring 3 but cannot enter the third limiting inductive ring 4, i.e. the body edge of the subject 100 can contact or touch the third limiting inductive ring 4, it indicates that the subject 100 belongs to the third type; if the subject 100 can enter the third limiting inductive ring 4, it indicates that the subject 100 belongs to the fourth type; and so on. Each limiting inductive ring has a solid state, which is convenient for the operator to intuitively view.

[0038] It can be understood that the inductive positions on each limiting inductive ring can be arranged at any suitable position, and the inductive positions are arranged at any suitable position as long as they can timely and accurately inductively feedback the contact or touch.

[0039] The outer shape detection mechanism further comprises a controller (not shown in the figure) and a display screen (not shown in the figure), which are used to prompt the operator according to the detection information of the first limiting inductive ring 2, the second limiting inductive ring 3 and the third limiting inductive ring 4. The content of the prompt is, for example, the type of the subject 100, the corresponding outer shape size thereof, the required scanning space and the like. The controller (not shown in the figure) and the display screen (not shown in the figure) can be arranged at any suitable position on the bed body 1, and the embodiment is not limited in particular.

[0040] Embodiment three: the application further provides a subject outer shape detection device for magnetic resonance. The device applies the subject outer shape detection method for magnetic resonance provided in embodiment one, effectively realizes the purpose of subject outer shape detection, and the operator of magnetic resonance detection can more intuitively understand the outer shape size of the subject, can timely know whether the volume of the subject exceeds the scanning space of the magnet in the magnetic resonance equipment, brings convenience to the scanning work flow, and improves the detection work efficiency of the operator.

[0041] AsFigure 3 The subject outer shape detection device for magnetic resonance shown in the figure, specifically comprises: a detection platform, the detection platform comprises a bed body 1, the upper surface of the bed body 1 is provided with a transverse accommodating groove 101; the accommodating groove 101 is used for accommodating a subject 100. An outer shape detection mechanism is arranged on the bed body 1; wherein the outer shape detection mechanism comprises a plurality of arc-shaped detection pieces with different inner diameters, which are used for detecting the body edge information of the subject 100, and the plurality of arc-shaped detection pieces are sequentially and interval distributed according to the size of the inner diameter from large to small and correspond to the accommodating groove 101 to form a detection space.

[0042] Specifically, in the embodiment, the accommodating groove 101 has at least one side through the side wall of the bed body 1 and forms a side slot; the detection platform further comprises a vertical plate 5, the vertical plate 5 is located on one side of the bed body 1 and corresponds to the side slot, and the plurality of arc-shaped detection pieces are sequentially and interval distributed on the side surface of the vertical plate 5 facing the side slot from top to bottom according to the size of the inner diameter.

[0043] Further, in the embodiment, the plurality of arc-shaped detection pieces are respectively a first light arc detection point array 6, a second light arc detection point array 7 and a third light arc detection point array 8, and the inner diameters of the first light arc detection point array 6, the second light arc detection point array 7 and the third light arc detection point array 8 sequentially decrease. The inner diameter of the first light arc detection point array 6 is greater than that of the second light arc detection point array 7, and the inner diameter of the second light arc detection point array 7 is greater than that of the third light arc detection point array 8. The first light arc detection point array 6, the second light arc detection point array 7 and the third light arc detection point array 8 are interval distributed from top to bottom according to the size of the inner diameter. The inner diameter of the first light arc detection point array 6 is for example 60 cm, the inner diameter of the second light arc detection point array 7 is for example 40 cm, and the inner diameter of the third light arc detection point array 8 is for example 30 cm. The first light arc detection point array 6, the second light arc detection point array 7 and the third light arc detection point array 8 all emit arc-shaped light above the accommodating groove 101; it can be understood that the inner diameter of each light arc detection point array refers to the inner diameter of the arc-shaped light. Each light arc detection point array is in the shape of an arch bridge.

[0044] Among them, the light detection devices adopted by the first light arc detection point array 6, the second light arc detection point array 7 and the third light arc detection point array 8 all include any one of a laser emitter and its sensor, a lamp column and its sensor and a lamp bead and its sensor.

[0045] Among them, the outer shape detection mechanism further comprises a controller (not shown in the figure) and a display screen 9, which is used to give the operator a prompt according to the detection information of the first light arc detection point array 6, the second light arc detection point array 7 and the third light arc detection point array 8. The content of the prompt is for example the type of the subject 100, its corresponding outer shape size, the required scanning space and the like. For example, when the light beam hits the body edge of the subject 100, it will be reflected to the corresponding sensor, and the sensor will transmit the related information to the controller (not shown in the figure), and the controller (not shown in the figure) will display the corresponding prompt content on the display screen 9.

[0046] The display screen 9 is arranged on the vertical plate 5 and above the first arc detection point array 6, and serves as a visual prompt. The controller (not shown) can be arranged at any suitable position on the vertical plate 5.

[0047] When the subject 100 is placed in the accommodating groove 101 and located at the right side of the vertical plate 5, it can be determined which detection space the subject 100 enters and which type the subject 100 belongs to by whether the body edge of the subject 100 is sensed by any one of the first arc detection point array 6, the second arc detection point array 7 and the third arc detection point array 8, so as to obtain a judgment result.

[0048] For example, if the first arc detection point array 6 can detect the body edge of the subject 100, i.e. the size of the subject 100 exceeds the range defined by the first arc detection point array 6, it indicates that the subject 100 belongs to the first type; if the first arc detection point array 6 cannot detect the body edge of the subject 100, the detection function of the second arc detection point array 7 is enabled. If the second arc detection point array 7 can detect the body edge of the subject 100, i.e. the size of the subject 100 is between the ranges defined by the first arc detection point array 6 and the second arc detection point array 7, it indicates that the subject 100 belongs to the second type; if the second arc detection point array 7 cannot detect the body edge of the subject 100, the detection function of the third arc detection point array 8 is enabled. If the third arc detection point array 8 can detect the body edge of the subject 100, i.e. the size of the subject 100 is between the ranges defined by the second arc detection point array 7 and the third arc detection point array 8, it indicates that the subject 100 belongs to the third type; if the third arc detection point array 8 cannot detect the body edge of the subject 100, it indicates that the subject 100 belongs to the fourth type; and so on.

[0049] It should be understood that the above description can be improved or changed by those skilled in the art, and all such improvements and changes shall fall within the scope of the appended claims.

Claims

1. A method for detecting the shape of an object in magnetic resonance imaging, characterized in that, The method includes: Different types of subjects are pre-classified according to their shape and size, and the required detection space for each type of subject is set. Define several critical lines of shapes, from largest to smallest, to divide all the required detection space and form the shape detection range; The subject is placed within the shape detection range. Based on the body edge information of the subject that can be detected by any of the critical lines, the type of the subject, its corresponding shape size, and the required scanning space are determined.

2. The method for detecting the shape of a test subject in magnetic resonance imaging according to claim 1, characterized in that, The test types include at least type 1 test subject, type 2 test subject, type 3 test subject and type 4 test subject, with the external dimensions of type 1 test subject, type 2 test subject, type 3 test subject and type 4 test subject decreasing sequentially.

3. The method for detecting the shape of a test subject in magnetic resonance imaging according to claim 2, characterized in that, The critical line between the external dimensions of the first type of test subject and the second type of test subject is the first critical line; the critical line between the external dimensions of the second type of test subject and the third type of test subject is the second critical line; and the critical line between the external dimensions of the third type of test subject and the fourth type of test subject is the third critical line. The detection space corresponding to the first critical line, the second critical line, and the third critical line decreases sequentially.

4. A device for detecting the shape of a subject in magnetic resonance imaging (MRI), employing the method for detecting the shape of a subject in magnetic resonance imaging according to any one of claims 1-3, characterized in that, The device includes: A detection platform, comprising a bed, the upper surface of which is provided with a transverse receiving groove; An external shape detection mechanism is mounted on the bed; wherein the external shape detection mechanism includes several arc-shaped detection elements with different inner diameters, the several arc-shaped detection elements are distributed in sequence according to the inner diameter from large to small and each corresponds to the receiving groove to form a detection space.

5. The subject shape detection device for magnetic resonance imaging according to claim 4, characterized in that, Several of the arc-shaped probes are slidably disposed on the upper surface of the bed and are all located above the receiving groove. The arc-shaped probes are distributed sequentially from right to left according to their inner diameter.

6. The subject shape detection device for magnetic resonance imaging according to claim 5, characterized in that, The upper surface of the bed is also provided with two transverse sliding grooves, one of which is located on the front side of the receiving groove and the other is located on the rear side of the receiving groove; a slider is slidably installed in each of the two sliding grooves, and the two ends of the several arc-shaped probes are respectively connected to the two sliders.

7. The subject shape detection device for magnetic resonance imaging according to claim 5 or 6, characterized in that, The arc-shaped detection elements are a first limiting sensing ring, a second limiting sensing ring, and a third limiting sensing ring, with the inner diameters of the first limiting sensing ring, the second limiting sensing ring, and the third limiting sensing ring decreasing sequentially.

8. The subject shape detection device for magnetic resonance imaging according to claim 4, characterized in that, The receiving groove has at least one side that penetrates the side wall of the bed and forms a side slot; the detection platform also includes a vertical plate, which is located on one side of the bed and corresponds to the side slot, and several of the arc-shaped detection elements are distributed sequentially from top to bottom on the surface of the vertical plate facing the side slot according to their inner diameter.

9. The subject shape detection device for magnetic resonance imaging according to claim 8, characterized in that, The plurality of arc-shaped detectors are a first arc detection array, a second arc detection array, and a third arc detection array, the inner diameters of the first, second, and third arc detection arrays decreasing sequentially; the first, second, and third arc detection arrays all emit arc-shaped light rays above the receiving groove.

10. The subject shape detection device for magnetic resonance imaging according to claim 9, characterized in that, The photodetector devices used in the first, second, and third light arc detection arrays all include any one of the following: a laser emitter and its sensor, a lamp post and its sensor, and a lamp bead and its sensor.

Images