Information processing device, information processing method, information processing program, and medical image capturing system

Abstract

To provide an information processing device, an information processing method, an information processing program, and a medical image capturing system capable of controlling the moving speed of a bed on which a subject is placed in a medical image capturing device to an appropriate speed.SOLUTION: An information processing device acquires at least one piece of information among examination information related to an examination, subject information related to a subject, and operator information related to an operator, and derives the moving speed of a bed between an initial position and an imaging position on the basis of the acquired information.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, an information processing method, an information processing program, and a medical image capturing system. [Background technology]

[0002] In recent years, advances in medical equipment such as CT (Computed Tomography) devices and MRI (Magnetic Resonance Imaging) devices have led to the use of higher quality, higher resolution three-dimensional images for diagnostic imaging. In medical imaging devices such as CT devices and MRI devices, a subject is placed on a bed in an initial position, and the bed with the subject placed on it is moved to an imaging position (for example, a position immediately in front of a gantry), after which imaging of a medical image begins.

[0003] Patent Document 1 discloses a technique in which an operator inputs the direction and speed of movement of a bed via an input device such as a touch panel.

[0004] Patent Document 2 discloses a technique for assisting an operator in moving a bed by controlling the moving speed of the bed in accordance with the force applied by the operator to the top plate of the bed. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Laid-Open No. 2014-054388 [Patent Document 2] Japanese Patent Application Publication No. 2020-068879 Summary of the Invention [Problem to be solved by the invention]

[0006] In the medical imaging apparatus described above, if the bed can be automatically moved between the initial position and the imaging position, imaging efficiency can be improved. In this case, if the bed can be moved at a high speed, the imaging time can be shortened, which is preferable. However, the optimal bed movement speed varies depending on various factors such as the examination, the subject, and the operator.

[0007] The present disclosure has been made in consideration of the above circumstances, and aims to provide an information processing device, an information processing method, an information processing program, and a medical imaging system that can control the movement speed of a bed on which a subject is placed in a medical imaging device to an appropriate speed. [Means for solving the problem]

[0008] The information processing device of the first aspect is an information processing device that has at least one processor and derives the moving speed of a bed of a medical imaging system that takes medical images of a subject placed on the bed, wherein the processor acquires at least one of examination information related to the examination, subject information related to the subject, and operator information related to the operator, and derives the moving speed of the bed between an initial position and an imaging position based on the acquired information.

[0009] In the information processing device of the second aspect, in the information processing device of the first aspect, the processor controls the movement of the bed between the initial position and the imaging position in accordance with the derived movement speed.

[0010] An information processing device of a third aspect is the information processing device of the first or second aspect, wherein the examination information includes a type of examination.

[0011] In a fourth aspect of the information processing device, in the information processing device of the third aspect, the processor derives a lower bed movement speed when the type of test represents an test performed by connecting a medical device to the subject than when the type represents an test performed without connecting a medical device to the subject.

[0012] In a fifth aspect of the information processing device, in the information processing device of the first or second aspect, the subject information includes at least one of information associated with the subject's identification information, biometric information of the subject, sound emitted by the subject placed on the bed, and an optical image obtained by photographing the subject placed on the bed.

[0013] In a sixth aspect of the information processing device, in the information processing device of the fifth aspect, the processor derives the movement speed of the bed before the bed starts to move, and then derives a movement speed that adjusts the derived movement speed of the bed based on at least one of biometric information, audio, and optical images acquired during the movement of the bed.

[0014] An information processing device of the seventh aspect is an information processing device of the first or second aspect, in which the operator information includes at least one of information associated with the operator's identification information, a voice uttered by the operator, and an optical image obtained by photographing the operator.

[0015] An information processing device of an eighth aspect is an information processing device of the seventh aspect, in which the processor derives the movement speed of the bed before the bed starts to move, and then derives a movement speed that adjusts the derived movement speed of the bed based on at least one of audio and optical images acquired during the movement of the bed.

[0016] In a ninth aspect of the information processing method, the information processing device includes at least one processor, and the processor derives a moving speed of a bed in a medical imaging system that captures medical images of a subject placed on the bed. The processor acquires at least one of examination information related to an examination, subject information related to the subject, and operator information related to an operator, and derives a moving speed of the bed between an initial position and an imaging position based on the acquired information. Execute the process.

[0017] An information processing program of a tenth aspect includes at least one processor, and causes a processor of an information processing device that derives the moving speed of a bed in a medical imaging system that captures medical images of a subject placed on the bed to acquire at least one of examination information related to the examination, subject information related to the subject, and operator information related to the operator, and executes a process to derive the moving speed of the bed between an initial position and an imaging position based on the acquired information.

[0018] A medical imaging system of an eleventh aspect includes a bed on which a subject is placed, a medical imaging device that captures medical images of the subject, and an information processing device of any one of the first to eighth aspects that derives the moving speed of the bed. [Effects of the Invention]

[0019] According to the present disclosure, the moving speed of a bed on which a subject is placed in a medical imaging apparatus can be controlled to an appropriate speed. [Brief explanation of the drawings]

[0020] [Figure 1] FIG. 1 is a perspective view showing an overview of a CT device. [Figure 2] This is a side view of the CT device. [Figure 3] FIG. 2 is a block diagram illustrating an example of a hardware configuration of an information processing device. [Figure 4] FIG. 10 is a diagram illustrating an example of operator data. [Figure 5] FIG. 10 is a diagram illustrating an example of patient data. [Figure 6] FIG. 2 is a block diagram illustrating an example of a functional configuration of an information processing device. [Figure 7] 10 is a flowchart illustrating an example of a bed moving process. [Figure 8] 10 is a flowchart illustrating an example of an initial moving speed derivation process. DETAILED DESCRIPTION OF THE INVENTION

[0021] Hereinafter, examples of embodiments for implementing the technology of the present disclosure will be described in detail with reference to the drawings.

[0022] First, the configuration of a CT device 1 will be described with reference to Figures 1 and 2. As shown in Figures 1 and 2, the CT device 1 according to this embodiment includes a gantry 2, a bed 3, and a console 4. The combination of the gantry 2, the bed 3, and the console 4 is an example of a medical imaging system according to the disclosed technology.

[0023] The gantry 2 has a tunnel-like structure with an opening 5 in its center. Inside the gantry 2, there are provided a radiation source unit that emits X-rays and a detection unit that detects the X-rays and generates a radiological image (neither is shown). The radiation source unit and the detection unit can rotate along the annular shape of the gantry 2 while maintaining a mutually opposing positional relationship. Also provided inside the gantry 2 is a control unit that controls the operation of the CT device 1. The gantry 2 is an example of a medical imaging device that captures medical images of a subject.

[0024] A patient H, as an example of a subject, is placed on the bed 3. The bed 3 has a bed section 3A on which the patient H lies, a base section 3B that supports the bed section 3A, and a drive section 3C that moves the bed section 3A back and forth in the direction of arrow A. The bed section 3A can be slid in the direction of arrow A relative to the base section 3B by the drive section 3C. When taking a CT image, as an example of a medical image, the patient H lying on the bed section 3A is transported into the opening 5 of the gantry 2 by sliding the bed section 3A.

[0025] As shown in FIG. 2, the patient H lies on the bed section 3A of the bed 3 at the initial position P1. The bed section 3A is then raised and slid by the drive section 3C, moving the bed 3 to the imaging position P2. After the bed section 3A has slid to the imaging position P2, imaging begins. After imaging is completed, the drive section 3C moves the bed 3 from the imaging position P2 to the initial position P1. The initial position P1 is a position different from the imaging position P2, and is, for example, a position farther away from the gantry 2 and closer to the floor than the imaging position P2. The imaging position P2 is a position where the patient H is transported to the gantry 2 by sliding the bed section 3A when taking CT images.

[0026] A camera 7 is installed on the ceiling above the bed 3. The camera 7 is capable of capturing R (red), G (green), and B (blue) color images by detecting reflected light from the patient H. The camera 7 has a lens and an imaging element such as a CCD (Charge Coupled Device), and captures images of the patient H on the bed 3 at a predetermined frame rate to obtain moving camera images, which are then output to the console 4. The camera 7 may be a camera combining an RGB camera and an NIR (Near Infrared) camera. In this case, the NIR camera is a stereo camera, and depth information of the patient H can be obtained by parallax. By configuring the NIR camera of the camera 7 as a stereo camera, depth information of the patient H on the bed 3 can be obtained. The NIR camera can capture images even when there is insufficient light. Therefore, if the brightness of the examination room is insufficient for RGB camera capture, the patient H may be captured by the NIR camera. The camera 7 may also be installed on a wall or the housing of the gantry 2, rather than on the ceiling. Furthermore, the cameras 7 may be provided at multiple locations.

[0027] The driving of the gantry 2, the driving of the bed 3, and the imaging of the subject by the camera 7 are performed by input from an operator such as a technician via the console 4. The console 4 includes an information processing device according to the disclosed technology.

[0028] The hardware configuration of an information processing device 10 according to this embodiment will be described with reference to FIG. 3. Examples of the information processing device 10 include a computer such as a personal computer or a server computer. As shown in FIG. 3, the information processing device 10 includes a CPU (Central Processing Unit) 11, a memory 12 serving as a temporary storage area, and a non-volatile storage unit 13. The information processing device 10 also includes a display 14 such as a liquid crystal display, an input device 15 such as a keyboard and a mouse, and a network I / F (Interface) 16 connected to the CT device 1. The CPU 11, the memory 12, the storage unit 13, the display 14, the input device 15, and the network I / F 16 are connected to a bus 17. The CPU 11 is an example of a processor according to the disclosed technology. The display 14 and the input device 15 are also shown in FIG. 1.

[0029] The storage unit 13 is realized by a hard disk drive (HDD), a solid state drive (SSD), a flash memory, or the like. The storage unit 13 serving as a storage medium stores an information processing program 20. The CPU 11 reads the information processing program 20 from the storage unit 13, expands it in the memory 12, and executes the expanded information processing program 20.

[0030] The memory unit 13 also stores an examination order 22, operator data 24, and patient data 26. The examination order 22 is an example of examination information related to an examination. The examination order 22 includes a patient ID (identifier) which is identification information of the patient H to be examined by the CT device 1, an operator ID which is identification information of the operator who operates the CT device 1, such as a radiologist, and the type of examination. Examples of the type of examination include plain radiography, contrast radiography, and ECG-gated radiography. Plain radiography is an examination performed without connecting medical equipment to the patient H. Contrast radiography and ECG-gated radiography are examinations performed by connecting medical equipment such as a catheter and an ECG sensor to the patient H.

[0031] The operator data 24 is an example of operator information related to an operator. Fig. 4 shows an example of the operator data 24. As shown in Fig. 4, in the operator data 24, an operator ID, an operator name, and a moving speed of the bed 3 are associated with each operator. The moving speed of the bed 3 in the operator data 24 is the moving speed of the bed 3 desired by the operator.

[0032] The patient data 26 is an example of subject information related to a subject. Fig. 5 shows an example of the patient data 26. As shown in Fig. 5, in the patient data 26, for each pair of a patient H and an examination date, a patient ID, a patient name, a patient age, a patient sex, a patient height, a patient weight, an examination date, and a moving speed of the bed 3 are associated. The moving speed of the bed 3 in the patient data 26 is the moving speed of the bed 3 between the initial position P1 and the imaging position P2 when an examination is performed on the patient H by the CT device 1 on the corresponding examination date.

[0033] The information processing device 10 has a function of deriving the moving speed of the bed 3 of the CT device 1 that takes medical images of the patient H placed on the bed 3.

[0034] Next, the functional configuration of the information processing device 10 will be described with reference to Fig. 6. As shown in Fig. 6, the information processing device 10 includes an acquisition unit 30, a derivation unit 32, and a movement control unit 34. The CPU 11 executes the information processing program 20 to function as the acquisition unit 30, the derivation unit 32, and the movement control unit 34.

[0035] The acquiring unit 30 acquires the examination order 22, the operator data 24, and the patient data 26 from the storage unit 13. The examination order 22, the operator data 24, and the patient data 26 may be loaded into the memory 12 via the network I / F 16 and acquired from the memory 12. The acquiring unit 30 also acquires optical images (hereinafter referred to as "patient images") obtained by photographing the patient H placed on the bed 3 with the camera 7, sequentially from the camera 7 at a set frame rate. The acquiring unit 30 also acquires biological information of the patient H from a biological information sensor attached to the patient H. Examples of the biological information include an electrocardiogram, pulse rate, respiration, and blood oxygen concentration. The acquiring unit 30 also acquires voice uttered by the patient H (hereinafter referred to as "patient voice") via a voice input device (not shown) installed in the imaging room. The patient image, the biological information of the patient H, and the patient voice are examples of subject information related to the subject.

[0036] The acquisition unit 30 also acquires an optical image (hereinafter referred to as "operator image") obtained by photographing the operator with the camera 7. The acquisition unit 30 also acquires a voice uttered by the operator (hereinafter referred to as "operator voice") via a voice input device provided in the photography room. The operator image and operator voice are examples of operator information related to the operator.

[0037] The derivation unit 32 derives the moving speed of the bed 3 between the initial position P1 and the imaging position P2 based on the examination order 22, the operator data 24, the patient data 26, the patient image, the biological information of the patient H, the patient voice, the operator image, and the operator voice acquired by the acquisition unit 30. Note that the derivation unit 32 does not need to use all of this information. That is, the derivation unit 32 may derive the moving speed of the bed 3 between the initial position P1 and the imaging position P2 based on one or a combination of two or more of the examination order 22, the operator data 24, the patient data 26, the patient image, the biological information of the patient H, the patient voice, the operator image, and the operator voice. A specific example of the process of deriving the moving speed of the bed 3 by the derivation unit 32 will be described below.

[0038] First, before the bed 3 starts to move (i.e., when the bed 3 is located at the initial position P1), the derivation unit 32 derives the moving speed of the bed 3 between the initial position P1 and the imaging position P2 based on the examination order 22, the operator data 24, and the patient data 26. Hereinafter, the moving speed of the bed 3 derived before the bed 3 starts to move is referred to as the "initial moving speed."

[0039] Specifically, when the patient ID included in the examination order 22 exists in the patient data 26, the derivation unit 32 sets the movement speed associated with the patient ID included in the patient data 26 as the initial movement speed. Note that when a plurality of patient IDs included in the examination order 22 exist in the patient data 26, the derivation unit 32 may set the movement speed associated with the most recent examination date among the plurality of movement speeds associated with each patient ID as the initial movement speed. Furthermore, when the patient ID included in the examination order 22 exists in the patient data 26, the derivation unit 32 may set a movement speed higher than the movement speed associated with the patient ID as the initial movement speed. This is because it is estimated that the patient H with that patient ID is accustomed to examinations using the CT device 1.

[0040] Furthermore, when the patient ID included in the examination order 22 does not exist in the patient data 26, that is, when it is the first time that the patient H with that patient ID undergoes an examination using the CT device 1, the derivation unit 32 refers to the operator data 24. In this case, when the operator ID included in the examination order 22 exists in the operator data 24, the derivation unit 32 sets the movement speed associated with the operator ID included in the operator data 24 as the initial movement speed.

[0041] When the patient ID does not exist in the patient data 26 and the operator ID does not exist in the operator data 24, the derivation unit 32 sets a predetermined reference speed as the initial moving speed. Note that the derivation unit 32 may vary the initial moving speed corresponding to the reference speed depending on the age of the patient H. For example, when the age of the patient H is equal to or less than a first threshold or equal to or greater than a second threshold, the derivation unit 32 may set the initial moving speed lower than when the age of the patient H is greater than the first threshold and less than the second threshold. An example of the first threshold is a value determined as the upper limit of the age range of young children such as infants. An example of the second threshold is a value determined as the lower limit of the age range of elderly people.

[0042] Next, when the examination type included in the examination order 22 indicates an examination performed with medical equipment connected to the patient H, the derivation unit 32 reduces the initial movement speed derived as described above. In this case, for example, the derivation unit 32 reduces the initial movement speed by a predetermined percentage such as 5% or a predetermined speed such as 1 [mm / s]. In other words, when the examination type indicates an examination performed with medical equipment connected to the patient H, the derivation unit 32 derives a movement speed of the bed 3 that is lower than when the examination type indicates an examination performed without connecting medical equipment to the patient H.

[0043] Furthermore, the derivation unit 32 derives the initial movement speed of the bed 3 before the bed 3 starts to move, and then derives an adjusted movement speed of the bed 3 based on the patient image, biometric information of the patient H, patient voice, operator image, and operator voice acquired by the acquisition unit 30 while the bed 3 is moving.

[0044] For example, when the behavior of the patient H obtained by image analysis of the patient image corresponds to behavior that indicates that the patient H is anxious, such as the patient H being violent, the derivation unit 32 derives a moving speed that is adjusted to a lower value for the movement speed of the bed 3. Furthermore, when the biological information of the patient H is outside the normal value range, such as a pulse rate that is faster than normal, the derivation unit 32 derives a moving speed that is adjusted to a lower value for the movement speed of the bed 3. Furthermore, when the patient's voice corresponds to a voice that indicates that the patient is anxious, the derivation unit 32 derives a moving speed that is adjusted to a lower value for the movement speed of the bed 3.

[0045] Furthermore, when the gesture of the operator obtained by image analysis of the operator image corresponds to a gesture representing an increase in the movement speed, the derivation unit 32 derives a movement speed adjusted to a higher value for the movement speed of the bed 3. Furthermore, when the gesture of the operator obtained by image analysis of the operator image corresponds to a gesture representing an increase in the movement speed, the derivation unit 32 derives a movement speed adjusted to a lower value for the movement speed of the bed 3.

[0046] Furthermore, when the operator's voice corresponds to a voice indicating that the moving speed is to be increased, the derivation unit 32 derives a moving speed obtained by adjusting the moving speed of the bed 3 to be higher. Furthermore, when the operator's voice corresponds to a voice indicating that the moving speed is to be decreased, the derivation unit 32 derives a moving speed obtained by adjusting the moving speed of the bed 3 to be lower.

[0047] As described above, when any of the information of the patient image, the biological information of the patient H, the patient voice, the operator image, and the operator voice acquired by the acquisition unit 30 while the bed 3 is moving satisfies the condition for adjusting the moving speed, the derivation unit 32 derives an adjusted moving speed in accordance with the information. This adjustment of the moving speed is performed by increasing or decreasing the moving speed by a predetermined percentage such as 5% or a predetermined speed such as 1 [mm / s].

[0048] The movement control unit 34 controls the movement of the bed 3 between the initial position P1 and the imaging position P2 in accordance with the movement speed derived by the derivation unit 32. Specifically, the movement control unit 34 outputs an instruction to the drive unit 3C to start movement in accordance with the initial movement speed derived by the derivation unit 32. In response to this instruction, the drive unit 3C moves the bed 3 from the initial position P1 toward the imaging position P2 at the initial movement speed.

[0049] Furthermore, while the bed 3 is moving, the movement control unit 34 outputs an instruction to the driving unit 3C to change the moving speed of the bed 3 to the adjusted moving speed derived by the derivation unit 32. In response to this instruction, the driving unit 3C changes the moving speed of the bed 3.

[0050] Furthermore, when the bed 3 reaches the imaging position P2, the movement control unit 34 outputs an instruction to the drive unit 3C to stop the bed 3. In response to this instruction, the drive unit 3C stops the bed 3. The movement control unit 34 may determine whether the bed 3 has reached the imaging position P2 based on an optical image captured by the camera 7. The movement control unit 34 may also determine whether the bed 3 has reached the imaging position P2 based on the output of a position sensor that detects the position of the bed 3 and is provided on the bed 3. This determination may also be made by the drive unit 3C. In this case, the movement control unit 34 does not need to output an instruction to stop the bed 3 to the drive unit 3C.

[0051] Next, the operation of the information processing device 10 will be described with reference to Fig. 7. The CPU 11 executes the information processing program 20, thereby executing the bed movement process shown in Fig. 7. The bed movement process is executed, for example, when an instruction to start the execution is input by the operator.

[0052] 7, the acquisition unit 30 acquires the examination order 22, the operator data 24, and the patient data 26 from the storage unit 13. In step S12, the initial movement speed derivation process shown in FIG.

[0053] 8, the derivation unit 32 determines whether or not the patient ID included in the test order 22 exists in the patient data 26. If this determination is affirmative, the process proceeds to step S52. In step S52, the derivation unit 32 sets the movement speed associated with the patient ID included in the patient data 26 as the initial movement speed. When the process of step S52 ends, the process proceeds to step S60.

[0054] If the determination in step S50 is negative, the process proceeds to step S54. In step S54, the derivation unit 32 determines whether the operator ID included in the examination order 22 exists in the operator data 24. If this determination is positive, the process proceeds to step S56. In step S56, the derivation unit 32 sets the movement speed associated with the operator ID included in the operator data 24 as the initial movement speed. When the process in step S56 ends, the process proceeds to step S60.

[0055] If the determination in step S54 is negative, the process proceeds to step S58. In step S58, the derivation unit 32 sets a predetermined reference speed as the initial moving speed. When the process in step S58 ends, the process proceeds to step S60.

[0056] In step S60, the derivation unit 32 determines whether the test type included in the test order 22 represents a test to be performed by connecting a medical device to patient H. If this determination is positive, the process proceeds to step S62. In step S62, the derivation unit 32 reduces the initial movement speed derived in step S52, step S56, or step S58. When the process of step S62 ends, the initial movement speed derivation process ends. On the other hand, if the determination in step S60 is negative, the process of step S62 is not executed and the initial movement speed derivation process ends.

[0057] 7 ends, and the process proceeds to step S14. In step S14, the movement control unit 34 outputs an instruction to start movement to the driving unit 3C according to the initial movement speed derived in step S12. This causes the bed 3 to start moving from the initial position P1 toward the imaging position P2.

[0058] In step S16, the acquisition unit 30 acquires a patient image, biological information of the patient H, the patient voice, an operator image, and an operator voice. In step S18, the derivation unit 32 determines whether any of the patient image, biological information of the patient H, the patient voice, the operator image, and the operator voice acquired in step S16 satisfies the condition for adjusting the moving speed, as described above. If this determination is positive, the processing proceeds to step S20.

[0059] In step S20, the derivation unit 32 derives the adjusted movement speed based on the information that satisfies the condition in step S18 from among the patient image, the biological information of the patient H, the patient voice, the operator image, and the operator voice, as described above. In step S22, the movement control unit 34 outputs an instruction to the drive unit 3C to change the movement speed of the bed 3 to the adjusted movement speed derived in step S20. When the processing of step S22 ends, the processing proceeds to step S24.

[0060] On the other hand, if the determination in step S18 is negative, the processes of steps S20 and S22 are not executed, and the process proceeds to step S24. In step S24, the movement control unit 34 determines whether or not the bed 3 has reached the imaging position P2. If this determination is negative, the process returns to step S16, and if this determination is positive, the process proceeds to step S26. In step S26, the movement control unit 34 outputs an instruction to the drive unit 3C to stop the bed 3. When the process of step S26 ends, the bed movement process ends.

[0061] After the above-mentioned bed movement process is completed, when the operator inputs an instruction to start imaging, the bed section 3A is slid relative to the base section 3B, and the patient H lying on the bed section 3A is transported into the opening 5 of the gantry 2, and CT image acquisition begins.

[0062] As described above, according to this embodiment, the moving speed of the bed on which the subject is placed in the medical imaging apparatus can be controlled to an appropriate speed.

[0063] In the above embodiment, the disclosed technology is described as being applied to controlling the moving speed of the bed 3 from the initial position P1 to the imaging position P2 before imaging by the CT device 1, but the disclosed technology is not limited to this. The disclosed technology may also be applied to controlling the moving speed of the bed 3 from the imaging position P2 to the initial position P1 after imaging by the CT device 1.

[0064] In the above embodiment, the CPU 11 identifies the operator of the CT device 1 by including an operator ID in the examination order 22, but the disclosed technology is not limited to this. For example, the CPU 11 may identify the operator based on a signal transmitted from an IC (Integrated Circuit) tag worn by the operator. For example, the CPU 11 may identify the operator based on voiceprint information of the voice uttered by the operator. For example, the CPU 11 may identify the operator by performing image analysis processing on an image captured by the camera 7.

[0065] Furthermore, in the above embodiment, a case has been described in which the examination order 22 includes a patient ID, and thus the CPU 11 identifies the patient H who is the subject of examination by the CT device 1. However, the disclosed technology is not limited to this. For example, the CPU 11 may identify the operator based on a signal transmitted from an IC tag worn by the patient H. For example, the CPU 11 may identify the patient H based on voiceprint information of the voice uttered by the patient H. For example, the CPU 11 may identify the patient H by performing image analysis processing on an image captured by the camera 7.

[0066] Furthermore, in the above embodiment, the derivation unit 32 may derive the initial movement speed based on the disease that the patient H is suffering from, the treatment status of the disease, medication information of the patient H, etc. For example, if the patient H is suffering from a specific disease, the derivation unit 32 may derive a movement speed of the bed 3 that is lower than if the patient H is not suffering from the specific disease.

[0067] In the above embodiment, the CPU 11 determines whether or not the examination is to be performed by connecting a medical device to the patient H based on the examination type included in the examination order 22, but the disclosed technology is not limited to this. For example, the CPU 11 may determine whether or not a medical device is connected to the patient H by performing image analysis processing on the patient image.

[0068] In addition, in the above embodiment, when the CPU 11 detects an abnormality such as an earthquake, a falling object, or smoke in the imaging room, it may perform control to stop the movement of the bed 3 and notify the user that an abnormality has been detected.

[0069] Furthermore, at least one of the functional units included in the information processing device 10 in the above embodiment may be included in another device such as the control device included in the gantry 2 and the control device included in the drive unit 3C.

[0070] Furthermore, in the above embodiment, for example, the following various processors can be used as the hardware structure of a processing unit that executes various processes, such as each functional unit of the information processing device 10. The above various processors include, as described above, a CPU, which is a general-purpose processor that executes software (programs) and functions as various processing units, as well as dedicated electrical circuits, such as a programmable logic device (PLD), which is a processor whose circuit configuration can be changed after manufacture, such as an FPGA, and an application specific integrated circuit (ASIC), which is a processor having a circuit configuration designed specifically for executing specific processes.

[0071] A single processing unit may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, multiple processing units may be configured with a single processor.

[0072] Examples of configuring multiple processing units with a single processor include, first, a form in which one processor is configured with a combination of one or more CPUs and software, and this processor functions as multiple processing units, as typified by computers such as client and server. Second, a form in which a processor is used to realize the functions of the entire system including multiple processing units with a single IC (Integrated Circuit) chip, as typified by systems on chips (SoCs). In this way, various processing units are configured using one or more of the above-mentioned various processors as a hardware structure.

[0073] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements.

[0074] In the above embodiment, the information processing program 20 is pre-stored (installed) in the storage unit 13, but the present invention is not limited to this. The information processing program 20 may be provided in a form recorded on a recording medium such as a CD-ROM (Compact Disc Read Only Memory), a DVD-ROM (Digital Versatile Disc Read Only Memory), or a USB (Universal Serial Bus) memory. The information processing program 20 may also be downloaded from an external device via a network. [Explanation of symbols]

[0075] 1 CT device 2 Gantry 3 berths 3A Sleeper Section 3B base 3C Drive Unit 4 Console 5 Opening 7. Camera 10. Information processing equipment 11 CPU 12 Memory 13 Storage section 14 Display 15 Input Devices 16 Network I / F 17 Bus 20 Information Processing Program 22 Test Order 24 Operator Data 26 Patient Data 30 Acquisition Department 32 Derivation part 34 Movement control unit H patient P1 initial position P2 Shooting position

Claims

1. 1. An information processing device comprising at least one processor, and configured to derive a moving speed of a bed of a medical imaging system that captures medical images of a subject placed on the bed, comprising: The processor: acquiring at least one of examination information relating to an examination, subject information relating to the subject, and operator information relating to an operator; Based on the acquired information, a moving speed of the bed between the initial position and the imaging position is derived. Information processing device.

2. The processor: The movement of the bed between the initial position and the imaging position is controlled according to the derived movement speed. The information processing device according to claim 1 .

3. The examination information includes the type of examination.

3. The information processing device according to claim 1.

4. When the type of examination represents an examination performed with a medical device connected to the subject, the processor derives a lower moving speed of the bed than when the type of examination represents an examination performed without a medical device connected to the subject. The information processing device according to claim 3 .

5. The subject information includes at least one of information associated with identification information of the subject, biological information of the subject, a voice uttered by the subject placed on the bed, and an optical image obtained by photographing the subject placed on the bed.

3. The information processing device according to claim 1.

6. The processor: After deriving a moving speed of the bed before the start of movement of the bed, a moving speed obtained by adjusting the derived moving speed of the bed is derived based on at least one of the biological information, the voice, and the optical image acquired during the movement of the bed. The information processing device according to claim 5 .

7. The operator information includes at least one of information associated with identification information of the operator, a voice uttered by the operator, and an optical image obtained by photographing the operator.

3. The information processing device according to claim 1.

8. The processor: After deriving a moving speed of the bed before the start of the movement of the bed, a moving speed obtained by adjusting the derived moving speed of the bed is derived based on at least one of the sound and the optical image acquired during the movement of the bed. The information processing device according to claim 7 .

9. 1. An information processing device comprising at least one processor, the information processing device deriving a moving speed of a bed of a medical imaging system for capturing medical images of a subject placed on a bed, the processor comprising: acquiring at least one of examination information relating to an examination, subject information relating to the subject, and operator information relating to an operator; Based on the acquired information, a moving speed of the bed between the initial position and the imaging position is derived. An information processing method that performs processing.

10. 1. An information processing device comprising at least one processor, the information processing device deriving a moving speed of a bed of a medical imaging system for capturing medical images of a subject placed on a bed, the processor including: acquiring at least one of examination information relating to an examination, subject information relating to the subject, and operator information relating to an operator; Based on the acquired information, a moving speed of the bed between the initial position and the imaging position is derived. An information processing program for executing processing.

11. a bed on which a subject can be placed; a medical imaging device for capturing a medical image of the subject; The information processing device according to claim 1 , which derives the moving speed of the bed; A medical imaging system comprising:

Images