KR20230055760A - Medical image display method for orthodontic diagnosis, device and recording medium thereof - Google Patents

Abstract

The present invention relates to a medical image display method, a device, and a recording medium. According to one embodiment of the present invention, medical images are grouped based on a time of receipt of a first user input for a treatment type and a time of acquisition of the medical images. Additionally, a group of the medical images of a treatment item is displayed according to a second user input for a treatment item. Accordingly, user convenience can be improved in a process of grouping and displaying the medical images. The medical image display method for orthodontic diagnosis of the present invention comprises: an acquiring step; a receiving step; a grouping step; a deciding step; and a displaying step.

Description

MEDICAL IMAGE DISPLAY METHOD FOR ORTHODONTIC DIAGNOSIS, DEVICE AND RECORDING MEDIUM THEREOF

The present invention relates to a method, a device, and a recording medium for displaying various medical images used for orthodontic diagnosis.

In general, when performing orthodontic treatment, diagnosis using various clinical images is required to diagnose a patient's problem. For example, not only radiographic images but also facial and intraoral photographs are taken to diagnose problems, and during orthodontic treatment, additional radiographic images and facial and intraoral photographs are taken to confirm changes in teeth and facial appearance. These various images should be classified into various treatment groups in consideration of what stage of the current patient's orthodontic treatment process and how they are being treated for efficient diagnosis by a dentist.

In the prior art, a user directly identifies various images necessary for orthodontic treatment while checking which treatment group of the current patient the corresponding image corresponds to and classifying them. This conventional technique has a disadvantage in that the user's convenience is poor because the user has to repeat the manual process of classifying newly captured images of the patient every time the user proceeds with the calibration analysis.

Accordingly, there is a need for a technique for solving the above problems and minimizing a user's cumbersome procedure before calibration diagnosis.

Korean Patent Publication No. 10-2006-0100737 (2006.09.21) Dental patient treatment service method and system using the Internet

An embodiment of the present invention is to solve the above-mentioned problems of the prior art, and to improve user convenience by minimizing cumbersome procedures required by the user before calibration diagnosis.

The technical problem to be solved is not limited to the technical problems as described above, and various technical problems may be further included within a range obvious to those skilled in the art.

A method for displaying medical images for orthodontic diagnosis according to a first aspect of the present invention includes acquiring a plurality of medical images used for orthodontic diagnosis; receiving a first user input for a treatment type; grouping the plurality of medical images into a first medical image group and a second medical image group based on a time point at which the plurality of medical images were obtained; and determining a treatment item of the first medical image group as a treatment type selected according to the first user input when the acquisition time of the first medical image group corresponds to the reception time of the first user input; and displaying the first medical image group when a second user input for the treatment item is received.

Also, the displaying of the first medical image group may include determining a time difference between an acquisition time of the first medical image group and a reception time of the first user input; determining an attribute of a treatment item of the first medical image group as a treatment type selected according to the first user input when the time difference is smaller than a preset value; and displaying the first medical image group based on an attribute of the treatment item when the second user input is received.

The method may further include determining a category in which the treatment item is included based on attributes of the treatment item; and displaying the treatment item based on the determined category.

In addition, the category includes pre-treatment indicating a state before treatment, mid-treatment indicating a state during treatment, post-treatment indicating a state after treatment, and It may include at least one of retention indicating a maintenance state.

In addition, the category of the pre-treatment may include a treatment item for an orthodontic diagnostic test, and the category of the post-treatment may include a treatment item for debonding.

In addition, the mid-treatment category may include a treatment item determined according to a third user input between a time when a treatment item for the orthodontic diagnostic test is determined and a time point when a treatment item for the debonding is determined.

In addition, the retention category may include a treatment item of a medical image determined according to a user input requesting a category shift among medical images of treatment items included in the post-treatment category.

The method may further include determining a modality of the plurality of medical images according to a setting value corresponding to each of the plurality of medical images, and the displaying of the first medical image group may include: The first medical image group may be classified according to the modality and displayed.

A medical image display device for orthodontic diagnosis according to a second aspect of the present invention includes a medical image obtaining unit acquiring a plurality of medical images used for orthodontic diagnosis; A first user input for a type of treatment is received, the plurality of medical images are grouped into a first medical image group and a second medical image group based on a time point at which the plurality of medical images are acquired, and a time point at which the first medical image group is acquired a processor for determining a treatment item of the first medical image group as a treatment type selected according to the first user input when the reception time of the first user input corresponds; and a display configured to display the first medical image group when a second user input for the treatment item is received.

Also, the processor determines a time difference between the acquisition time of the first medical image group and the reception time of the first user input, and if the time difference is smaller than a preset value, the treatment item of the first medical image group A property for is determined as a treatment type determined according to the first user input, and when the second user input is received, the first medical image group may be displayed on the display based on the property for the treatment item. there is.

Also, the processor may determine a category in which the treatment item is included based on attributes of the treatment item, and display the treatment item on the display based on the determined category.

Also, the category may include at least one of pre-treatment indicating a state before treatment, mid-treatment indicating a state during treatment, post-treatment indicating a state after treatment, and retention indicating a maintenance state.

Also, the processor may determine a modality of the plurality of medical images according to a setting value corresponding to each of the plurality of medical images, classify the first medical image group according to the modality, and display the first medical image group on the display. .

A third aspect of the present invention may provide a computer-readable recording medium recording a program for executing the method according to the first aspect in a computer. Alternatively, the fourth aspect of the present invention may provide a computer program stored in a recording medium to implement the method according to the first aspect.

According to an embodiment, user convenience may be improved by minimizing cumbersome procedures required of the user before calibration diagnosis.

In addition, if only an input for selecting a treatment type is provided from the user's point of view, user convenience may be improved as medical images taken on a corresponding input date are grouped into a medical image group associated with the selected treatment type.

In addition, by classifying medical image groups according to categories of pre-treatment, mid-treatment, post-treatment, and retention in consideration of treatment items and time flow for orthodontic diagnosis, medical treatment is performed in a manner optimized for orthodontic diagnosis. You can classify images and display classification results.

In addition, by appropriately classifying and displaying medical images according to modality, it is possible to provide an intuitive display interface to the user.

The effects of the present invention are not limited to the above effects, and should be understood to include all effects that can be inferred from the detailed description of the present invention or the configuration of the invention described in the claims.

1 is a block diagram illustrating an example of a configuration of a medical image display device according to an exemplary embodiment.
2 is a diagram for explaining an operation of receiving a first user input by a medical image display device according to an exemplary embodiment.
FIG. 3 is a diagram for explaining an operation of determining a treatment item of a medical image group based on a reception point of a first user input by a medical image display device according to an exemplary embodiment.
4 is a diagram for explaining an operation of determining modalities of a plurality of medical images by a medical image display device according to an exemplary embodiment.
5 is a diagram for explaining an operation of classifying and displaying a first medical image group according to a modality by a medical image display device according to an exemplary embodiment.
6 is a flowchart illustrating a method of displaying a medical image by a medical image display device according to an exemplary embodiment.
7 is a block diagram illustrating an operation of displaying a medical image by a medical image display device according to another exemplary embodiment.

The terms used in the embodiments have been selected from general terms that are currently widely used as much as possible while considering the functions in the present invention, but they may vary according to the intention of a person skilled in the art or precedent, the emergence of new technologies, and the like. In addition, in a specific case, there is also a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the invention. Therefore, the term used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, not simply the name of the term.

In the entire specification, when a part is said to "include" a certain component, it means that it may further include other components, not excluding other components unless otherwise stated. In addition, as described in the specification, "... Terms such as “unit” refer to a unit that processes at least one function or operation, which may be implemented as hardware or software, or a combination of hardware and software.

Hereinafter, with reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily carry out the present invention. However, the present invention may be implemented in many different forms and is not limited to the embodiments described herein.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

1 is a block diagram illustrating an example of a configuration of a medical image display device 100 according to an exemplary embodiment.

Referring to FIG. 1 , a medical image display device 100 may include a medical image acquisition unit 110 , a processor 120 and a display 130 .

The medical image acquisition unit 110 may acquire a plurality of medical images used for calibration diagnosis. Here, the medical image used for orthodontic diagnosis refers to a medical image taken of a patient in a process of orthodontic diagnosis of the patient. In an embodiment, the medical image used for orthodontic diagnosis includes a medical image obtained using X-rays, etc., of a patient's teeth or face in a patient's orthodontic diagnosis process, a medical image captured using an image sensor, etc. It may include, but is not limited thereto. In another embodiment, the medical image used for orthodontic diagnosis may further include various other types of medical images, such as a medical image obtained through a 3D scanner and a medical image captured using a computed tomography (CT) method.

In an embodiment, the medical image acquisition unit 110 may generate a medical image used for corrective diagnosis by capturing an image of a patient. For example, upon receiving a user's selection input for the type of medical image to be captured, the medical image acquisition unit 110 may generate a medical image by capturing an image corresponding to the selected type.

In another embodiment, the medical image acquisition unit 110 may receive a medical image captured by the medical image capturing device through interworking with the medical image capturing device (not shown).

In one embodiment, a plurality of medical images may correspond to patient information registered as an object of corrective diagnosis. The medical image acquisition unit 110 receives or loads personal information (e.g., patient name, date of birth, gender, chart number, etc.) of a patient corresponding to a subject of corrective diagnosis according to a user input or loads it from memory, and captures the patient. Personal information of the corresponding patient may be included in the medical image and stored. Accordingly, personal information of a corresponding patient may be included in a plurality of medical images used for corrective diagnosis acquired by the medical image acquisition unit 110 .

The processor 120 may receive a first user input 21 for the treatment type 11 . Here, the type of treatment 11 means a type of treatment related to orthodontic diagnosis, and may include, for example, an orthodontic diagnostic test, bonding, and de-bonding. In addition, user input may broadly mean a user's selection input, text input, and the like applied using a mouse, keyboard, joystick, or the like through a user interface. Details regarding this will be further described with reference to FIG. 2 .

FIG. 2 is a diagram for explaining an operation in which the medical image display device 100 receives a first user input 21 for a treatment type 11 according to an exemplary embodiment.

Referring to FIG. 2 , the display 130 displays a plurality of treatment types 11 on an electronic chart 30 corresponding to patient information, and the processor 120 determines one of the plurality of treatment types 11. A first user input 21 for For example, the display 130 displays a plurality of treatment types 11 in a first window 31 among a plurality of windows providing an electronic chart 30 as a user (eg, a dentist) starts medical treatment. It is possible to display a plurality of buttons each displaying the name of. Also, the processor 120 may receive a first user input 21 for selecting a first treatment type 11a (eg, a calibration diagnostic test) through the first window 31 .

The processor 120 may group the plurality of medical images into a first medical image group and a second medical image group based on the point of time at which the plurality of medical images were obtained. In an embodiment, the processor 120 may group medical images having the same shooting date into the same medical image group. For example, the processor 120 groups medical images obtained by taking a picture on day A among a plurality of medical images into a first medical image group, and grouping medical images obtained by taking a picture on a day B later than day A into a second medical image group. It can be grouped into groups of medical images. Hereinafter, the first and second medical image groups have been mainly described, but are not limited thereto, and may be grouped into N (N is a natural number) or more medical image groups.

In an embodiment, the acquisition time of the first medical image group and the reception time of the first user input 21 may correspond. For example, when the first user input 21 for the type of treatment 11 is received, the processor 120 outputs medical images obtained by being photographed on the reception date of the first user input 21 to the first medical image Can be grouped into groups. Also, the processor 120 may group medical images captured and acquired after the reception date of the first user input 21 into a second medical image group.

In an embodiment, the processor 120 determines a time difference between the acquisition time of the first medical image group and the reception time of the first user input 21, and if the time difference is less than a predetermined value, the first medical image It may be determined that the acquisition time of the group corresponds to the reception time of the first user input 21 .

FIG. 3 is a diagram for explaining an operation of determining a treatment item 12 of a medical image group based on a receiving time point of a first user input 21 by the medical image display device 100 according to an exemplary embodiment.

Referring to FIG. 3 , the processor 120 assigns the treatment item 12 of the first medical image group to the first user when the acquisition time of the first medical image group corresponds to the reception time of the first user input 21 . Depending on the input 21, the selected treatment type 11 can be determined. Here, the treatment item 12 indicates the type of treatment selected by the user regarding corrective diagnosis. For example, if the treatment type 11 means the types of individual treatments that can be selected by the user for a specific treatment purpose, the treatment item 12 indicates the type of treatment actually selected and executed by the user among these individual treatment types. it means. For example, when the reception date of the first user input 21 for the 'corrective diagnostic test' is A day, the processor 120 transmits medical images captured on the A day or within a set date from the A date to the first medical image. Image groups may be grouped, and the treatment item 12 of the first medical image group may be determined as a 'corrective diagnostic test'. In one embodiment, a preset value or a time reference (eg, day, minute, second, etc.) may be updated according to a user input.

In an embodiment, the processor 120 determines the treatment item of the first medical image group when the time difference between the acquisition time of the first medical image group and the reception time of the first user input 21 is smaller than a preset value. The property may be determined as the treatment type 11 selected according to the first user input 21 . For example, the processor 120 groups medical images captured on the same date as the reception date of the first user input 21 into a first medical image group, and a treatment item used to classify the first medical image group ( The treatment type according to the first user input 21 may be assigned to the attribute of 12). The attribute of the treatment item 12 may be used to classify and provide a plurality of medical image groups according to each treatment item 12 .

Accordingly, when a user (eg, a dentist) inputs a signal to select the type of treatment 11 while starting medical treatment, the medical images of the patient captured on the corresponding day are displayed for the corresponding treatment without the cumbersome manipulation procedure of separately classifying the medical images. Since the medical image group of the treatment item 12 determined as the type 11 is grouped, user convenience may be improved.

When the second user input 22 for the treatment item 12 is received, the processor 120 may display a medical image group of the corresponding treatment item 12 on the display 130 . For example, the display 130 may display the treatment items 12 of each of the first medical image group and the second medical image group on the second window 32 among a plurality of windows providing the electronic chart 30. there is. Subsequently, the processor 120 may receive a second user input 22 for selecting a treatment item 12 (eg, a calibration diagnostic test) of the first medical image group through the second window 32 . In this case, the display 130 may arrange and display medical images corresponding to the first medical image group in the third window 33 of the plurality of windows providing the electronic chart 30 .

When the second user input 22 is received, the display 130 may display the first medical image group based on the properties of the treatment item 12 of the first medical image group. For example, when the second user input 22 for the first treatment item 12a, which is 'corrective diagnostic test', is received, the display 130 sets 'corrective diagnostic test' among a plurality of medical image groups as an attribute. The first medical image group of the first treatment item 12a may be loaded and displayed on the third window 33 .

The processor 120 may determine a category in which the treatment item 12 is included based on the attributes of the treatment item 12 . In an embodiment, the category may include at least one of Pre-Treatment, Mid-Treatment, Post-Treatment, and Retention. . Here, pre-treatment represents a state before treatment, mid-treatment represents a state during treatment, post-treatment represents a state after treatment, and retention represents a maintenance state. For example, the attribute of the treatment item 12 corresponding to pre-treatment may be 'corrective diagnostic test', and the attribute of the treatment item 12 corresponding to post-treatment may be 'debonding'. Other treatment items 12 may correspond to mid-treatment, and treatment items 12 moved from post-treatment may correspond to retention.

The processor 120 may display the treatment item 12 on the display 130 based on the determined category. For example, the processor 120 arranges the names of a plurality of categories according to the setting order and displays them on the display 130 through the second window 32, and the treatment items included in the category are displayed below the name of each category. (12) may be displayed on the display 130 by arranging them according to the decision point of each treatment item 12.

In one embodiment, the category of pre-treatment includes the first treatment item 12a for a corrective diagnostic test. When the 'first treatment item 12a called orthodontic diagnostic test' is determined, the processor 120 includes the corresponding treatment item 12 in the pre-treatment category, and the display 130 displays the corresponding treatment item 12 ) along with information on the corresponding reception date (eg, 19.03.24) may be displayed in a list at the bottom of the pre-treatment category in the third window 33.

In one embodiment, the category of post-treatment includes a second treatment item 12b for debonding. When the 'debonding treatment item 12' is determined, the processor 120 includes the corresponding treatment item 12 in the post-treatment category, and the display 130 displays the corresponding treatment item 12 as the corresponding treatment item 12. It can be displayed in a list at the bottom of the post-treatment category in the third window 33 along with information on the reception date (eg, 20.08.22).

In one embodiment, the category of mid-treatment includes a treatment item 12 determined according to a third user input between the time when the treatment item 12 for the orthodontic diagnostic test is determined and the time when the treatment item for debonding is determined. This is included. The processor 120 captures a third medical image group from the date on which the first user input 21 for 'corrective diagnostic test' is received to before the first user input 21 for 'debonding' is received. The treatment items 12 of can be classified into a mid-treatment category. Next, the display 130 displays the corresponding treatment item 12 (eg, panoramic shooting, etc.) along with information on the corresponding reception date (eg, 20.01.17) at the bottom of the mid-treatment category in the third window 33. In the list of , the activation time can be sorted and displayed in the order of the most recent.

In one embodiment, the name of the treatment item 12 determined according to the third user input between the time when the treatment item 12 for the orthodontic diagnostic test is determined and the time when the treatment item for debonding is determined is the corresponding treatment type ( 11) can be determined based on. For example, when a first user input 21 for a treatment type 11 other than 'corrective diagnostic test' and 'debonding' is received, the corresponding treatment item 12 is the name of the treatment type 11 ( Example: Panorama shooting).

In an embodiment, the number of categories of pre-treatment and/or post-treatment may be singular, and the number of categories of mid-treatment may be plural. For example, the category of pre-treatment may be set to include only one treatment item 12 corresponding to 'corrective diagnostic test', and the category of post-treatment may include one treatment item corresponding to 'debonding'. (12) may be included, and the mid-treatment category may be set to include a plurality of other treatment items (12). Accordingly, even if debonding is performed on one of the upper and lower jaws for the patient, if debonding has not yet proceeded on the other one, treatment items related to the other one will continue to be managed under the category of post-treatment. can

In an embodiment, the retention category includes a treatment item 12 of a medical image determined according to a user input requesting a category shift among medical images of the treatment item 12 included in the post-treatment category. For example, the display 130 displays medical care having a property of 'debonding' according to the second user input 22 for the second treatment item 12b of 'debonding' included in the category of post-treatment. Images can be displayed in the third window 33 . In addition, the processor 120 receives a user input requesting to move any one of the displayed medical images to the retention category (eg, a selection input for a medical image and a drag-and-drop input to the retention category). In this case, the treatment item 12 of the corresponding medical image may be reclassified into the retention category. That is, after the process of classifying the treatment item 12 of the medical image into the post-treatment category is preceded, the treatment item 12 of the corresponding medical image is limited to the medical image for which category movement is requested to the retention category. It can be classified as a category of this retention.

The processor 120 may determine a modality of a plurality of medical images according to a setting value corresponding to each of the plurality of medical images. For example, when a medical image is captured, it is photographed after setting in advance which part it is to be photographed. Therefore, in each of a plurality of medical images, a setting value representing the modality of the corresponding medical image during the photographing process is used as metadata of the medical image. can be stored The processor 120 may determine a modality of a corresponding medical image by checking a setting value corresponding to each medical image.

Here, the modality represents a type of medical image used for corrective diagnosis. In an embodiment, each of the plurality of medical images may be divided into modalities equal to or less than a set number (eg, 19 or 20). For example, the number of modalities cannot exceed 19 modalities. Although the number of medical images may be large as medical images are captured several times within the same modality, the maximum number of modalities (eg, 19) may be a fixed value. Details regarding this will be described with further reference to FIGS. 4 and 5 .

4 is a diagram for explaining an operation of determining modalities of a plurality of medical images by the medical image display device 100 according to an exemplary embodiment.

Referring to FIG. 4 , a modality may be classified into a specific number (eg, 19) of medical image types based on a medical image capturing method, a capturing direction for a patient, a capturing region, and subject properties.

In one embodiment, the modality according to the photographing method may include Film X-ray, Face Photo, Oral Photo, Model Photo, and the like. For example, Film X-ray represents an X-ray medical image (e.g. projection medical image), Face Photo represents a facial medical image (e.g. ID photo), Oral Photo represents an oral medical image, and Model Photo represents a model photo. A plaster cast medical image can be displayed.

In one embodiment, the modality according to the photographing direction may include Lateral, Panorama, Frontal, Left, Right, CBCT, SMV, A45, and the like. For example, Lateral represents a lateral medical image (eg, a medical image taken from behind looking to the right), and Frontal represents a frontal medical image. In addition, the SMV represents a medical image obtained by photographing from under the chin with the chin lifted 90 degrees, and is used to detect left-right asymmetry of the temporomandibular joint. A45 denotes a medical image obtained from a right to left lateral angle of 45 degrees, Panorama denotes a panoramic medical image acquired from a foreground angle range, and CBCT denotes a 3D medical image.

In one embodiment, the modality according to the region to be captured may include lower (lower jaw), upper (upper jaw), carpus (wrist, carpal bone), and the like. In addition, modalities according to subject attributes may include Smile (eg, photographing a face while smiling).

In one embodiment, the modality may mean four types of medical images corresponding to Film X-ray, Face Photo, Oral Photo, and Model Photo, and in another embodiment, the above-mentioned 19 or 20 medical image types may mean, but is not limited thereto. Also, according to an embodiment, the modality of each medical image may be updated according to a user input requesting a modality change.

The processor 120 may classify the first medical image group according to the modality and display the first medical image group on the display 130 . For example, when the first medical image group is displayed on the display 130 as the second user input 22 is received, the processor 120 arranges medical images having similar modalities to be adjacently disposed. It can be provided to the third window 33. This will be described in more detail with further reference to FIG. 5 .

5 is a diagram for explaining an operation of classifying and displaying a first medical image group according to a modality by the medical image display device 100 according to an exemplary embodiment.

Referring to FIG. 5 , a plurality of medical images included in the first medical image group may be classified according to modalities. For example, the modalities of medical images include Lateral_Film representing Film X-rays taken in the Lateral direction, Frontal_Film representing Film X-rays taken in the Frontal direction, Lateral_Photo representing Face Photos taken in the Lateral direction, and Faces taken in the Frontal direction. Frontal_Photo representing Photo, a45_Photo representing Face Photo taken in A45 direction, Smile_Photo representing Face Photo taken with Smile subject attribute, Right_Intral_Oral representing Oral Photo taken in Right direction, Upper_Intral_Oral representing Oral Photo taken for Upper. , Frontal_Model representing the Model Photo taken in the Frontal direction, and Lower_Model representing the Model Photo taken for the Lower.

The processor 120 may display on the display 130 by classifying medical images having similar modalities so as to be adjacently disposed. For example, the processor 120 classifies medical images having similar modalities into adjacent medical images when one of the photographing method, photographing direction of the patient, photographing part, and subject property used to classify 19 modalities is the same. can be placed In an embodiment, the display 130 may sequentially arrange and display medical images according to an order set by a user with respect to modalities.

The processor 120 classifies each of the medical images included in the first medical image group into one of the first modality group 510, the second modality group 520, and the third modality group 530 based on similarities in modalities. can be classified.

In one embodiment, the first modality group 510 represents a medical image group related to projection medical images. For example, the processor 120 may classify medical images having modalities such as Lateral_Film, Frontal_Film, Panorama, Carpus, and SMV into the first modality group 510 .

In one embodiment, the second modality group 520 represents a medical image group related to facial medical images. For example, the processor 120 may classify medical images having modalities such as Lateral_Photo, Frontal_Photo, a45_Photo, and Smile_Photo into the second modality group 520 .

In one embodiment, the third modality group 530 represents a group of medical images related to the upper and lower jaws. For example, the processor 120 may classify medical images having modalities such as Right_Intral_Oral, Upper_Intral_Oral, Frontal_Model, and Lower_Model into the third modality group 530 .

In one embodiment, the display 130 displays the first medical image group according to the highest priority given to the first modality group 510, the second modality group 520, and the third modality group 530 in that order. can do. For example, as shown in FIG. 4 , the display 130 displays the medical images classified as the first modality group 510 so as to be exposed on the top (or left side) and the medical images classified as the second modality group 520. , and medical images classified into the third modality group 530 may be displayed so as to be sequentially exposed to the next position.

In one embodiment, medical images included in the first modality group 510 may be arranged in the order of Lateral_Film, Frontal_Film, Panorama, Carpus, and SMV. Also, medical images included in the second modality group 520 may be arranged in the order of Lateral_Photo, Frontal_Photo, a45_Photo, and Smile_Photo. In addition, medical images included in the third modality group 530 are arranged in the order of Oral Photo and Model Photo, and may be arranged in the order of Right, Frontal, Left, Upper, and Lower for each of the Oral Photo and Model Photo. .

If there is no medical image corresponding to a specific modality (eg, SMV) among the medical images included in the first medical image group, the processor 120 may arrange a blank medical image at a position corresponding to the corresponding modality. Accordingly, it may be intuitively notified that a medical image having a corresponding modality has not yet been acquired.

In an embodiment, when there are a plurality of medical images corresponding to a specific modality, the display 130 may display only one most recently obtained medical image at a corresponding location and omit display of the remaining medical images. In an embodiment, a medical image other than the most recently obtained medical image may be used according to user settings or a selection input.

In another embodiment, when there are a plurality of medical images corresponding to a specific modality, the display 130 displays one most recently acquired medical image at a corresponding location and indicates that one or more medical images having the same modality exist. A notification display may be displayed. For example, the display 130 displays a notification display in a form of overlapping a portion of the remaining medical images behind the most recent medical image, or displays a notification in a form of providing the most recent medical image and the number of remaining medical images. can display.

In this way, the display 130 can provide an intuitive display interface to the user by appropriately classifying and displaying the medical images according to their modalities.

In an embodiment, the medical image acquisition unit 110 may be implemented as a medical image capturing device that captures a medical image. Alternatively, in another temporary example, the medical image acquisition unit 110 may be implemented as a communication device that receives a medical image from a medical image capture device. The processor 120 may perform a series of operations for displaying a medical image, and is electrically connected to the medical image acquisition unit 110, the display 130, and other components to control data flow between them. can For this purpose, the processor 120 may be implemented as a central processor unit (CPU) that controls overall operations of the medical image display device 100 . The processor 120 may generate and provide an image that may be displayed and described throughout the specification to the display 130 . The display 130 may output or display an image received from the processor 120 . The display 130 may comprehensively mean a medical image output device that displays medical images, and may include, for example, a liquid crystal display, a thin film transistor-liquid crystal display, and an organic light emitting device. It may be an organic light-emitting diode, a flexible display, a 3D display, an electrophoretic display, and the like.

In addition, those skilled in the art can understand that general-purpose components other than those shown in FIG. 1 may be further included in the medical image display device 100 . According to an embodiment, the medical image display device 100 includes a communication unit for communicating with other devices through a wired/wireless network, a user interface for receiving a user input, and a storage unit for storing data (eg, memory, database, cloud). etc. may be further included. According to another embodiment, some of the components shown in FIG. 1 may be omitted.

6 is a flowchart illustrating a method of displaying a medical image by the medical image display device 100 according to an exemplary embodiment.

In step S610, the medical image acquisition unit 110 may acquire a plurality of medical images used for calibration diagnosis. For example, the medical image acquiring unit 110 may acquire a plurality of medical images corresponding to a specific patient by performing photographing on March 24, 19.

In step S620, the processor 120 may receive a first user input 21 for the treatment type 11. For example, the processor 120 may receive a first user input 21 indicating the first treatment type 11a for the 'calibration diagnostic test'.

In step S630, the processor 120 may group the plurality of medical images into a first medical image group and a second medical image group based on the acquisition time point. For example, the processor 120 may group medical images taken on March 24, 19 into a first medical image group, and group medical images taken after March 24, 19 into a second medical image group.

In step S640, the processor 120 selects the treatment items 12 of the first medical image group according to the first user input when the acquisition time of the first medical image group corresponds to the reception time of the first user input 21. It can be determined by the selected treatment type (11). For example, as the processor 120 receives the first user input 21 representing the first treatment type 11a for the 'calibration diagnostic test' on 19.03.24, the processor 120 receives a photographed image on the same date, 19.03.24. Medical images may be grouped into a first medical image group. In addition, the processor 120 may determine the attribute of the first treatment item 12a of the first medical image group as 'corrective diagnostic test' and include the corresponding treatment item 12 in the pre-treatment category. .

In step S650, the display 130 may display the first medical image group as the second user input 22 for the treatment item 12 is received. For example, when the second user input 22 for the first treatment item 12a of 'corrective diagnostic test' is received, the display 130 displays the first treatment item 12a of 'corrective diagnostic test'. The classified first medical image group may be displayed.

After step S650, the processor 120 may receive a first user input 21 indicating the second treatment type 11b of 'debonding' on 20.08.22. In this case, the processor 120 groups the medical images captured on 20.08.22, the corresponding reception date, into a second medical image group, and sets the property of the second treatment item 12b of the second medical image group to 'debonding'. , and the second treatment item 12b called 'debonding' may be included in the post-treatment category. In addition, the processor 120 may group medical images taken between March 24, 19 for 'corrective diagnostic test' and date for August 22, 20 for 'debonding' into a third medical image group. Subsequently, the processor 120 determines the attribute of the treatment item 12 of the third medical image group as the treatment item 12 determined according to the third user input, and sets the corresponding treatment item 12 as a mid-treatment. can be included in the category. Subsequently, when a third user input for the treatment item 12 included in the mid-treatment or post-treatment category is received, the display 130 displays a medical image group of the selected treatment item 12. can

According to an embodiment of the present invention, when the first user input 21 for selecting the treatment type 11 is received, medical images captured on the corresponding reception date are grouped into a medical image group associated with the selected treatment type. User convenience can be improved.

7 is a block diagram illustrating an operation of displaying a medical image by the medical image display device 100 according to another exemplary embodiment.

Referring to FIG. 7 , the medical image display device 100 is a method of linking orthodontic diagnosis software for orthodontic diagnosis and medical image capturing software for acquiring medical images, and is required by users throughout the process of registering, classifying, and displaying medical images. manipulation can be minimized.

The processor 120 may execute the stored orthodontic diagnosis software, receive a user input for the patient's personal information (eg, patient name, date of birth, chart number) through the orthodontic diagnosis software, and register it in the orthodontic diagnosis software. Subsequently, the processor 120 may execute the stored medical image capturing software.

The processor 120 may link the medical image capture software and the orthodontic diagnosis software, and load personal information of a patient registered in the orthodontic diagnosis software into the orthodontic diagnosis software. The medical image acquisition unit 110 may capture a medical image of the patient through the medical image capturing software, and may transmit the medical image of the patient whose name, date of birth, chart number, etc. match to the calibration diagnosis software. The processor 120 may register medical image information including the same date as a capture date in the medical image capturing software in the calibration diagnosis software. The medical image registered in the orthodontic diagnosis software may include information on the patient's name, date of birth, chart number, and photographing date.

The processor 120 may link patient personal information and medical image information through linkage between the medical image capturing software and the calibration analysis software. Accordingly, unnecessary redundant work required by the user can be omitted.

The medical image acquisition unit 110 can take medical images classified into a total of 19 modalities including 5 types of Film X-ray, 4 types of Face Photo, 5 types of Oral Photo, and 5 types of Model Photo through orthodontic diagnosis software. . The medical image acquisition unit 110 may store setting values for Film X-ray, Lateral, etc. according to a user input when shooting is performed through the medical image capturing software, and may capture a medical image including the setting values. These settings can be displayed through calibration diagnostic software.

The processor 120 may classify various medical images of the patient, which are used when corrective diagnosis is performed, into pre-treatment, mid-treatment, post-treatment, or retention categories. For example, as described above, until the first user input 21 for the treatment type 11 is received through the electronic chart 30, all medical images related to the corresponding patient are classified into the pre-treatment category. In addition, when the first user input 21 for the 'corrective diagnostic test' of the electronic chart 30 is received, all medical images taken on the corresponding reception date are classified into the pre-treatment category. In addition, all medical images taken after the first user input 21 for 'corrective diagnostic test' is received are classified into a mid-treatment category. In addition, medical images captured on the date of reception of the first user input 21 for 'debonding' of the electronic chart 30 are classified into a post treatment category. In addition, medical images captured after the date of reception of the first user input 21 for 'debonding' are classified as a post treatment category.

In addition, when a user input requesting to move a medical image classified in the post treatment category to the retention category is received, the selected medical image is reclassified into the retention category, and the medical image captured after the reclassification is received. All of them are classified into the category of retention.

According to an embodiment of the present invention, medical images may be classified according to categories of pre-treatment, mid-treatment, post-treatment, and retention in a manner optimized for orthodontic diagnosis, and the classification result may be displayed.

The order and combination of the steps shown above is an embodiment, and the order, combination, branch, function, and subject of execution thereof may be added, omitted, or modified within the scope that does not deviate from the essential characteristics of each component described in the specification. It can be seen that this can be done. In addition, throughout the specification, 'providing' includes a process in which an object acquires specific information or directly or indirectly transmits/receives it to a specific object, and can be interpreted as comprehensively including the performance of related operations required in this process.

Various embodiments of the present invention are implemented as software comprising one or more instructions stored in a storage medium (eg, memory) readable by a machine (eg, a display device or a computer). It can be. For example, a processor (eg, processor 120 ) of the device may call at least one of one or more instructions stored from a storage medium and execute it. This enables the device to be operated to perform at least one function according to the invoked at least one instruction. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-temporary' only means that the storage medium is a tangible device and does not contain signals (e.g., electromagnetic waves), and this term refers to the case where data is stored semi-permanently in the storage medium. It does not discriminate when it is temporarily stored.

According to one embodiment, the method according to various embodiments disclosed in the present invention may be included and provided in a computer program product. Computer program products may be traded between sellers and buyers as commodities. A computer program product is distributed in the form of a device-readable storage medium (e.g. compact disc read only memory (CD-ROM)), or through an application store (e.g. Play Store™) or on two user devices (e.g. It can be distributed (eg downloaded or uploaded) online, directly between smartphones. In the case of online distribution, at least part of the computer program product may be temporarily stored or temporarily created in a device-readable storage medium such as a manufacturer's server, an application store server, or a relay server's memory.

Those skilled in the art related to this embodiment will be able to understand that it can be implemented in a modified form within a range that does not deviate from the essential characteristics of the above description. Therefore, the disclosed methods are to be considered in an illustrative rather than a limiting sense. The scope of the present invention is shown in the claims rather than the foregoing description, and all differences within the equivalent scope will be construed as being included in the present invention.

100: medical image display device
110: medical image acquisition unit 120: processor
130: display
11: Treatment type 12: Treatment item
21: first user input 22: second user input
30: electronic chart
31: first window 32: second window
33: third window

Claims (14)

Medical image display method for orthodontic diagnosis
acquiring a plurality of medical images used for orthodontic diagnosis;
receiving a first user input for a treatment type;
grouping the plurality of medical images into a first medical image group and a second medical image group based on a time point at which the plurality of medical images were acquired;
determining a treatment item of the first medical image group as a treatment type selected according to the first user input when the acquisition time of the first medical image group corresponds to the reception time of the first user input; and
and displaying the first medical image group when a second user input for the treatment item is received.
According to claim 1,
Displaying the first medical image group
determining a time difference between an acquisition time of the first medical image group and a reception time of the first user input;
determining an attribute of a treatment item of the first medical image group as a treatment type selected according to the first user input when the time difference is smaller than a preset value; and
and displaying the first medical image group based on an attribute of the treatment item when the second user input is received.
According to claim 2,
determining a category in which the treatment item is included based on attributes of the treatment item; and
Further comprising, displaying the treatment item based on the determined category.
According to claim 3,
The categories include pre-treatment, which indicates a state before treatment, mid-treatment, which indicates a state during treatment, post-treatment, which indicates a state after treatment, and maintenance state. Including at least one of the retention (Retention) representing , method.
According to claim 4,
The category of pre-treatment includes a treatment item for an orthodontic diagnostic test,
The category of the post-treatment includes a treatment item for de-bonding.
According to claim 5,
In the category of the mid-treatment,
The method of claim 1 , wherein a treatment item determined according to a third user input is included between a time when a treatment item for the corrective diagnostic test is determined and a time point when a treatment item for the debonding is determined.
According to claim 4,
In the category of the above retention,
Among the medical images of the treatment items included in the category of the post-treatment, a treatment item of a medical image determined according to a user input requesting category movement is included.
According to claim 1,
Further comprising determining a modality of the plurality of medical images according to a setting value corresponding to each of the plurality of medical images;
Displaying the first medical image group
The method of classifying and displaying the first medical image group according to the modality.
In a medical image display device for orthodontic diagnosis
a medical image obtaining unit acquiring a plurality of medical images used for orthodontic diagnosis;
A first user input for a type of treatment is received, the plurality of medical images are grouped into a first medical image group and a second medical image group based on a time point at which the plurality of medical images are acquired, and a time point at which the first medical image group is acquired a processor for determining a treatment item of the first medical image group as a treatment type selected according to the first user input when the reception time of the first user input corresponds; and
and a display configured to display the first medical image group when a second user input for the treatment item is received.
According to claim 9,
The processor
determining a time difference between an acquisition time of the first medical image group and a reception time of the first user input;
When the time difference is smaller than a preset value, determining an attribute of a treatment item of the first medical image group as a treatment type selected according to the first user input;
Displaying the first medical image group on the display based on the attribute of the treatment item when the second user input is received.
According to claim 9,
The processor
determining a category in which the treatment item is included based on attributes of the treatment item;
and displaying the treatment item on the display based on the determined category.
According to claim 11,
The categories include pre-treatment, which indicates a state before treatment, mid-treatment, which indicates a state during treatment, post-treatment, which indicates a state after treatment, and maintenance state. Including at least one of the retention (Retention) indicating, a device.
According to claim 9,
The processor
determining a modality of the plurality of medical images according to a setting value corresponding to each of the plurality of medical images;
The device that classifies the first medical image group according to the modality and displays it on the display.
A computer-readable recording medium recording a program for executing the method of any one of claims 1 to 8 in a computer.

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