KR20150010515A - Apparatus and method for photographing a medical image - Google Patents

Abstract

The present invention relates to a method and apparatus for automatically setting an medical image photographing environment and automatically controlling the photographed image. A method of obtaining a medical image according to the present invention, which controls the medical image of a photographed object by a medical image photographing device, includes the steps of: obtaining information about a user who diagnoses the medical image of the object or about the object; extracting an image control parameter corresponding to the information about the user or the object from a database; and controlling characteristics of the medical image based on the extracted image control parameter.

Description

[0001] APPARATUS AND METHOD FOR PHOTOGRAPHING A MEDICAL IMAGE [0002]

The present invention relates to a medical image acquisition method and apparatus. More specifically, the present invention relates to a method and apparatus for automatically setting a medical image capturing environment and automatically adjusting a captured image.

The user of the medical imaging apparatus adjusts a protocol or a parameter value set in the medical imaging apparatus to capture a medical image and perform image adjustment on the photographed image.

The protocol or parameter value depends on various conditions such as the physician who instructed the imaging, the patient's imaging site, the disease name, the radiologist, etc., and is often specialized according to the hospital. In addition, the image adjustment method also depends on the characteristics of the medical image, the physician who instructed the imaging, the radiologist, the patient, the anatomical planes, the contrast of the image, and the like. In particular, the parameters of the image adjustment are often specialized according to the physician, so the requirements of the physician must be accurately reflected.

The present invention provides a method and an apparatus for automatically adjusting the image adjustment and shooting of a medical image based on information on a user or a target by learning parameters related to the medical image.

A method of adjusting a medical image of a subject photographed by a medical image photographing apparatus according to an embodiment of the present invention includes the steps of acquiring information on a user diagnosing a medical image of the subject or information on the subject; Extracting image adjustment parameters corresponding to the information on the user or the information on the object from the database; And adjusting the characteristics of the medical image based on the extracted image adjustment parameter.

A method for acquiring a medical image of a target object using a medical image capturing apparatus according to an embodiment of the present invention is a method for acquiring a medical image of a target object using a first user using the medical image capturing apparatus and a second user diagnosing a medical image of the target object Obtaining information about at least one object and information about the object; Extracting from the database information on at least one of the first user and the second user, and an imaging condition corresponding to the information about the object; And photographing the object based on the extracted photographing condition.

A medical imaging apparatus for adjusting a medical image of a target object, comprising: an information obtaining unit for obtaining information on a user diagnosing a medical image of the target object or information on the target object; A parameter extracting unit for extracting, from a database, image adjustment parameters corresponding to the information on the user or the information on the object; And an image characteristic adjustment unit that adjusts a characteristic of the medical image based on the extracted image adjustment parameter.

A medical imaging apparatus for acquiring a medical image of a target object, the apparatus comprising: information acquiring means for acquiring information about at least one of a first user using the medical imaging apparatus and a second user diagnosing a medical image of the target object, An information acquisition unit A parameter extracting unit for extracting, from a database, information relating to at least one of the first user and the second user, and a photographing condition corresponding to the information about the object; And a medical image photographing unit for photographing the object based on the extracted photographing condition.

1 is a conceptual diagram of a medical imaging system for adjusting characteristics of a photographed image according to an embodiment of the present invention.
2 is a flowchart illustrating a method of automatically adjusting an image characteristic of a photographed image according to an embodiment of the present invention.
3 is a flowchart illustrating a method of the controller 30 receiving an image characteristic re-adjustment parameter from a user and updating an image adjustment parameter according to a user according to an embodiment of the present invention.
4 is a diagram illustrating image adjustment parameters stored in a database, in accordance with an embodiment of the present invention.
5 is a diagram showing a procedure of a method of acquiring a medical image of a target object using a medical image device, according to an embodiment of the present invention.
6 is a diagram showing photographing conditions stored in a database according to an embodiment of the present invention.
7 is a block diagram illustrating a function of the medical imaging apparatus 100 according to an exemplary embodiment of the present invention.
8 is a diagram showing a method of displaying a plurality of medical images for a target object, according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. To fully disclose the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

The term " part " used in this embodiment means a hardware component such as software, FPGA, or ASIC, and 'part' performs certain roles. However, 'minus' is not limited to software or hardware. The " part " may be configured to be in an addressable storage medium and configured to play back one or more processors. Thus, by way of example, and by no means, the terms " component " or " component " means any combination of components, such as software components, object- oriented software components, class components and task components, Subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. The functions provided in the components and parts may be combined into a smaller number of components and parts or further separated into additional components and parts.

The term "medical image capturing apparatus" as used herein refers to an apparatus for capturing a medical image of a target object, and includes an image capturing apparatus such as a magnetic resonance imaging (MRI), X-ray, computed tomography (CT), positron emission tomography And may include medical imaging devices used within the scope of the invention.

As used herein, the term "image" may refer to multi-dimensional data composed of discrete image elements (e.g., pixels in a two-dimensional image and voxels in a three-dimensional image). For example, the image may include X-ray, CT, MRI, ultrasound, and a medical image of an object acquired by another medical imaging device.

Also, in this specification, an "object" may include a person or an animal, or a part of a person or an animal. In the present specification, the information on the object may include information on at least one of a disease name of the object, a photographing region of the object, and a photographing direction of the object.

In this specification, the term "user" may be a medical professional such as a doctor, a nurse, a clinical pathologist, a medical imaging expert, and the like. As used herein, a " first user " may include a radiographer and an examiner as a user using a medical imaging device, and the "second user " may include a physician as a user diagnosing a medical image of the object .

Further, the term "photographing condition" herein may include at least one of a protocol and a parameter value set in the medical imaging apparatus. "Protocol" refers to a sequence of signals that are repeatedly applied in a medical imaging device. The "parameter value" is an individual set value set in the protocol, and may include TR (Repetition time), TE (Echo time), FOV (Field of view) and Scan time.

Also, in the present invention, the image adjustment changes the characteristics of the photographed image, and the "characteristics of the image" may include brightness, saturation, hue, contrast, sharpness of the image. In the present invention, the "image adjustment parameter" includes a window level for adjusting the contrast of the photographed image, a window width for adjusting the brightness of the ROI, a filter used for image processing, (High Light) that can control the brightness of the pixels, the type of image, the image rotation, image reversal, MPR (multiplanar reconstruction), parameters for MIP (maximum intensity projection) And parameters used for post-processing of the medical image, for example.

1 is a conceptual diagram of a medical imaging system for adjusting characteristics of a photographed image according to an embodiment of the present invention.

Referring to FIG. 1, a medical imaging apparatus 100 according to an embodiment of the present invention may include a controller 30 and a parameter learning unit 70.

The control unit 30 can adjust the medical image capturing apparatus 100 to acquire a medical image for the object. Further, it is possible to adjust the image characteristic of the photographed medical image.

In addition, the control unit 30 can extract image adjustment parameters or imaging condition parameters stored in the database, and can acquire a medical image for a target object or adjust characteristics of the medical image using the extracted parameters.

In addition, the control unit 30 can automatically transmit the medical image whose image identification has been adjusted to the diagnosis instructed by the image capturing instruction. The diagnostic can readjust the image characteristics for the received medical image. The control unit 30 can receive the re-adjusted medical image or the image adjustment parameter used for the re-adjustment.

Further, the control unit 30 can receive the photographing parameter or the image adjusting parameter from the user.

Also, the control unit 30 can perform wired / wireless communication with the external network. The control unit 30 can transmit the medical image related information to the external device and can receive information related to the medical image from the external device. Also, the control unit 30 can perform communication according to DICOM (Digital Imaging and Communications in Medicine).

The parameter learning unit 70 can calculate a user-preferred image adjustment parameter based on the image adjustment parameter input by the user.

Further, the parameter learning unit 70 can calculate the user's preferred photographing protocol or parameter based on the protocol or parameter inputted by the user.

The medical imaging device 100 may include a database (not shown). The database may store parameters needed for medical image adjustments. Further, the database may store protocols or parameters necessary for medical imaging. In addition, the database may store information related to medical images and medical images. The database may also be an external database connected via a wired or wireless network.

The control unit 30, the parameter learning unit 70, and the database may be a console or a part of a Picture Archiving and Communication System (PACS).

According to an embodiment of the present invention, the control unit 30 receives information about the user or information about the object including diagnosis of radiation from the outside, information about the user or information about the object The image pickup parameter or the image adjustment parameter can be extracted from the database.

The control unit 30 can take a medical image based on the extracted parameters. The control unit 30 can adjust the image characteristic based on the image adjustment parameter extracted from the database with respect to the photographed medical image. The control unit 30 can transmit the medical image whose characteristics have been adjusted to the diagnosis instructing the imaging instruction. In the case of re-adjusting the characteristics of the medical image received by the diagnosis, the control unit 30 can receive the image adjustment parameter for the re-adjusted image characteristic.

The parameter learning unit 70 can calculate the preferred image adjustment parameter of the diagnosis based on the received re-adjustment parameter. The preferred image adjustment parameter of the diagnosis may be a statistical value of the received image adjustment parameter.

The control unit 30 can update the calculated image adjustment parameter in the database in response to the diagnosis.

According to one embodiment of the present invention, even if the radiographic image or the diagnostic does not input the image adjustment condition to the medical image device, the image adjustment, which is the most used or likely to be used, The condition is set and the image adjustment is made automatically, which can provide convenience to radiologists or diagnostics.

2 is a flowchart illustrating a method of automatically adjusting an image characteristic of a photographed image according to an embodiment of the present invention.

The method illustrated in FIG. 2 assumes that the image adjustment conditions corresponding to each user are already stored in the database.

In step S210, the control unit 30 acquires information on a user who diagnoses the medical image of the object or information on the object.

The user diagnosing the medical image of the object may include a physician and a doctor. It may include a clinical pathologist or a radiologist who takes a medical image of a subject, but it is preferable that the person diagnoses the medical image. The information about the user may include the identification information of the user.

The information on the target object may include a disease name of the target object, a photographing region of the target object, or a photographing direction of the target object.

The control unit 30 can acquire information on the user or information on the object by the input of the user or information on the user or information on the object from the external apparatus.

In step S220, the control unit 30 can extract, from the database, the image adjustment parameters corresponding to information on the user or information on the object.

For example, if the user is Doctor A and the imaging site is the brain, the corresponding image adjustment parameters can be extracted from the database. Alternatively, if the user is doctor B and the disease name of the subject is liver cancer, the corresponding image adjustment parameter can be extracted. Alternatively, the image adjustment parameter corresponding to the pseudo B can be extracted from the database. Alternatively, the image adjustment parameter corresponding to the specific region can be extracted from the database.

The image adjustment parameters are parameters for adjusting the characteristics of the photographed image. The image adjustment parameters include a window level for adjusting the contrast of the photographed image, a window width for adjusting the brightness of the region of interest, You can control the type of filter used, image rotation, image reversal, multiplanar reconstruction, parameters for maximum intensity projection (MIP), whether the ROI is displayed on the image, the degree of zoom, And may include parameters used for post-processing of medical images such as highlights.

The image adjustment parameters extracted from the database may be statistical values of the image adjustment parameters used by the user to adjust the characteristics of the medical image. For example, the image adjustment parameters extracted in correspondence with the doctor A and the brain may be the image adjustment parameters most frequently used when the doctor A diagnoses the brain imaging image. Alternatively, the image adjustment parameter extracted corresponding to the pseudo B may be a parameter indicating the brightness of the image preferred by the pseudo B, the contrast of the image, and the like. Alternatively, the image adjustment parameter extracted corresponding to the specific shooting direction or the specific shooting region may be a statistical value of the image adjustment parameter used by the plurality of users in the shooting direction or the shooting region.

Further, the image adjustment parameters extracted from the database can be extracted based on the photographing protocol. For example, an image adjustment parameter corresponding to a T1-weighted image among the abdominal MRI images can be extracted.

Further, the image adjustment parameters extracted from the database can be extracted based on the photographing direction. For example, an image adjustment parameter corresponding to a sagittal image of the brain can be extracted.

Further, the image adjustment parameters extracted from the database can be extracted based on the histogram of the photographed image pixels. For example, the image adjustment parameter corresponding to the histogram pattern of the photographed image can be extracted.

In step S230, the control unit 30 can adjust the characteristics of the medical image based on the extracted image adjustment parameters.

That is, the characteristics of the photographed medical image are automatically adjusted based on the image adjustment parameters extracted from the database without user's adjustment.

A plurality of parameters may be extracted corresponding to one piece of information and a plurality of parameters may be extracted corresponding to one piece of information. Can be adjusted to other characteristics.

Through such an embodiment, the medical image characteristic according to the information about the user or the information about the object can be adjusted. Even if the user does not adjust the image characteristic for the captured medical image, since the user can adjust the image characteristic to the preferred image characteristic, the image adjustment time can be shortened and the satisfaction of the diagnosis can be increased.

3 is a flowchart illustrating a method for the controller 30 to receive an image characteristic re-adjustment parameter from a user and update an image adjustment parameter according to information about the user or information about the object, according to an embodiment of the present invention.

In steps S310 to S330, the control unit 30 automatically extracts the image adjustment parameters corresponding to the information about the user or information on the object from the database, and automatically adjusts the characteristics of the photographed image. In steps S210 to S220 Respectively.

In step S340, the control unit 30 receives the image adjustment parameter used by the user for the medical image readjustment.

The image adjustment parameter input by the user to readjust the image characteristics may be an image adjustment parameter directly input by the user and may be an image adjustment parameter received from an external device or an external server.

The image adjustment parameter input by the user may be the parameter itself, or may be a parameter extracted from the image characteristic adjusted by the user. For example, if a user adjusts a particular contrast and a particular sharpness, a window level or filter according to that contrast or sharpness level may be entered.

In step S350, the control unit 30 can update the image adjustment parameter of the database corresponding to the information on the user or the information on the object based on the received image re-adjustment parameter.

The control unit 30 can instruct the parameter learning unit 30 to calculate the image adjustment parameter corresponding to the information about the user or the information about the target object and the image adjustment parameter calculated from the parameter learning unit 30 to the database Can be updated.

The parameter learning unit 30 can calculate the statistical value of the image adjustment parameter corresponding to the information on the user from the image adjustment parameter used by the user for image re-adjustment. That is, the image adjustment parameters stored in the database and the image adjustment parameters input from the user can be statistically processed to calculate the image adjustment parameters corresponding to the information about the user.

For example, the image adjustment parameter corresponding to the information about the user may be an average value of the previously input image adjustment parameter. In addition, the image adjustment parameter corresponding to the information on the user may be a weighted average value in which the weighted value increases with a recently input parameter. In addition, the image adjustment parameter corresponding to the information about the user may be a weighted average value in which the user evaluates the characteristic adjusted medical image and changes the weight according to the score.

Further, the parameter learning unit 30 can extract the image adjustment parameters by analyzing the characteristics of the image read by the user, and calculate the image adjustment parameters corresponding to the information about the user from the extracted image adjustment parameters.

Further, the parameter learning unit 30 can analyze the pattern of the image adjustment of the user and calculate the image adjustment parameter corresponding to the information about the user.

For example, when the user frequently adjusts the image characteristics of the same medical image and performs comparison diagnosis, it is possible to calculate a plurality of image adjustment parameters expressing a plurality of contrast degrees for the user.

In another example, the information about the user and the image adjustment parameter corresponding to the histogram pattern can be calculated by analyzing the type of window width / level or filter selected according to the histogram pattern of the captured medical image.

Further, the image adjustment parameter corresponding to the information about the user can be calculated based on the user and the photographing protocol. For example, the image adjustment parameter of the corresponding user corresponding to the T1-weighted image in the abdominal MRI image can be calculated. Further, the image adjustment parameter corresponding to the user can be calculated based on the user and the photographing direction. For example, the image adjustment parameter of the user corresponding to the sagittal image of the brain can be calculated. Further, the image adjustment parameter corresponding to the user can be calculated based on the histogram of the user and the photographed image pixel.

The parameter learning unit 30 can calculate the statistical value of the image adjustment parameter corresponding to the information on the target object from the image adjustment parameter used by the user for image re-adjustment. That is, the image adjustment parameters stored in the database and the image adjustment parameters input from the plurality of users can be statistically processed to calculate the image adjustment parameters corresponding to the information on the object. For example, an image adjustment parameter most frequently used for diagnosis of a specific imaging region, such as the brain, abdomen, or leg, can be calculated. In addition, an image adjustment parameter most frequently used in a specific shooting direction of a specific region such as a specific disease such as lung cancer, dementia, or the sagittal plane of the brain can be calculated.

The image adjustment parameter corresponding to the information on the object may be an average value of the image adjustment parameters used for adjusting the image characteristics of the medical image of the object. In addition, the image adjustment parameter corresponding to the information on the object may be a weighted average value in which the weighted value increases with the recently input parameter. Further, the image adjustment parameter corresponding to the information on the object may be a weighted average value in which the user evaluates the characteristic-adjusted medical image and changes the weight according to the score.

Through such an embodiment, the characteristics of the image can be automatically adjusted by extracting the image adjustment parameters most frequently used or likely to be used by the user.

4 is a diagram illustrating image adjustment parameters stored in a database, in accordance with an embodiment of the present invention.

The image adjustment parameter may be stored in the database in correspondence with information on the user or information on the object. Therefore, when the identification information of a specific doctor or diagnosis or the imaging region of the object, the disease name of the object, the imaging protocol sequence, the photographing direction, the histogram of the photographed image, and the like are inputted, the corresponding image adjustment condition can be extracted from the database .

As described above, the image adjustment parameter stored in the database may be a value calculated on the basis of the image adjustment parameter previously input by the user or the parameter extracted from the image characteristic selected by the user.

As described above, as the user repeatedly adjusts the characteristics of the captured medical image, the user's preferred image adjustment parameter value can be calculated, and the photographed medical image can then be automatically adjusted to the calculated parameter value.

On the other hand, not only the image adjustment parameter for changing the medical image adjustment characteristic, but also the protocol or parameter used for capturing the medical image, a preferred value may be calculated according to the user, and extracted from the database and automatically set. 5 to 6 below.

5 is a diagram showing a procedure of a method of acquiring a medical image of a target object using a medical image device, according to an embodiment of the present invention.

The method shown in FIG. 5 assumes that the shooting conditions corresponding to the first user and the second user are already stored in the database.

The "first user" may include a radiographer and an examiner as a user using the MRI apparatus, and the "second user " may include a doctor as a user diagnosing a medical image of the object.

 In step S510, information on at least one of the first user and the second user using the medical imaging apparatus and information on the object are obtained.

The information about at least one of the first user and the second user may be identification information of at least one of the first user and the second user.

The information about the first user, the second user, and the object may be integrated by the first user or the second user and received from the external device.

In step S520, information on at least one of the first user and the second user and the photographing condition corresponding to the information about the object are extracted from the database.

For example, when the imaging region of the object is the brain and the second user is the doctor A, the imaging conditions corresponding to the doctor A and the imaging site brain can be extracted from the database. Or if the disease name of the subject is epileptic and the first user is radiation article B, the imaging condition corresponding to physician B and pathologic epilepsy can be extracted from the database.

The extracted photographing condition may include at least one of a protocol and a parameter value set in the medical image photographing apparatus.

The extracted photographing condition may be a photographing condition in which the first user or the second user has used the object most frequently or can be presumed to be used.

For example, if the photographing condition corresponding to the photographing part of the object is the brain and the second user is the doctor A, the extracted photographing condition may be the photographing condition most recently used most recently when the doctor A diagnoses the brain .

In step S530, the object is photographed based on the extracted photographing conditions. That is, the object is photographed based on the extracted protocol or parameter value.

Conventionally, a first user has to set photographing conditions in consideration of various conditions such as information on the object, and the photographing conditions set by the first user and the photographing conditions desired by the second user are different from each other However, the MRI apparatus according to an embodiment of the present invention may be configured such that the first user and the second user are previously set to the first user and the second user through the information about the first user and the second user, And automatically resets the photographing conditions that were previously set.

6 is a diagram showing photographing conditions stored in a database according to an embodiment of the present invention.

As shown in FIG. 6, the database may store photographing conditions corresponding to at least one of the first user and the second user. Therefore, when the photographing part or the name of the first user or the second user and the object are determined, the corresponding photographing condition can be extracted from the database.

The photographing condition database of Fig. 6 shows a database in which the identification information of the second user is set as a primary key, and one protocol sequence and parameters for the brain corresponding to each second user are stored. The protocol sequence corresponding to the second user A is Sag T2 TSE, Ax T1 MPR, Ax DWI sequence. This protocol sequence may be the protocol sequence most recently indicated by the pseudo-A.

The photographing condition stored in the database may be a value calculated based on the protocol sequence or parameter previously input by the user.

For example, in the plurality of photographs, the protocol sequence most frequently indicated among the protocol sequences indicated by the second user may be stored as a protocol sequence for the second user. In addition, the average value or the weighted average value of the parameters used by the same first user in a plurality of photographings can be stored as the parameter value for the first user.

On the other hand, only specific conditions among the shooting conditions can be stored in correspondence with the first user and the second user. For example, only protocols may be stored for a physician, and only parametric values may be stored for radiologists.

In the above embodiment, the protocol sequence or the parameter value corresponding to the first user or the second user and the object has been stored in the database. However, the protocol sequence or the parameter value The parameters can be databaseized and the parameter values can be databaseized with the pulse sequence as the primary key.

According to this embodiment, a shooting condition specialized for each first user or a second user is generated, and the shooting condition used most recently by each first user or the second user can be stored in the database.

7 is a block diagram illustrating a function of the medical imaging apparatus 100 according to an exemplary embodiment of the present invention.

The medical imaging apparatus 100 may include a control unit 30 and a parameter learning unit 70. [ The control unit 30 may include an information obtaining unit 32, an output unit 34, a medical image capturing unit 36, an image characteristic adjusting unit 38, and a parameter extracting unit 40.

The information acquiring unit 32 can acquire information on the user, information on the object, image adjustment conditions, and shooting conditions from a user or an external device.

The information about the user may be information about a first user, which means a person who shoots a medical image of the object, or a second user, which means a person diagnosing a medical image of the object, and may include identification information of the user. Thus, the information about the first user or the second user may include identification information about at least one of the first user and the second user.

The information on the object may include at least one of a disease name, a photographing direction, and a photographing region of the object.

In addition, the information acquiring unit 32 can acquire information such as a specific hospital, clinical contrast, and the like.

The information obtaining unit 32 can obtain information from the user's input. In addition, the information obtaining unit 32 can obtain information from an external server through wired / wireless communication. For example, the information obtaining unit 32 can obtain image adjustment conditions, photographing conditions or identification information of the object, a medical record of the object, etc. from the PACS system. The information obtaining unit 32 may include a keyboard, a mouse, a trackball, a voice recognition unit, a gesture recognition unit, a touch screen, and the like, and may include various input devices within a range that is obvious to those skilled in the art.

The parameter extracting unit 40 can extract the photographing condition stored in the database 200 corresponding to the information about the user or the information about the object. The information on the user means information on at least one of the first user and the second user, and the information on the object may include at least one of a disease name, a shooting direction, and a shooting region of the object. The information about the user or the information about the object may be the information received by the information obtaining unit 32. [

The shooting conditions extracted from the database 200 may include protocol sequences or parameters.

The medical image capturing unit 36 can acquire the medical image relating to the object by adjusting the medical image capturing apparatus connected to the medical image capturing apparatus. The medical image photographing apparatus is an apparatus for obtaining a medical image for a target object, and may include MRI, CT, X-ray, and the like.

The medical image capturing unit 36 can control the medical image capturing apparatus based on the capturing condition extracted by the parameter extracting unit 40 from the database.

The parameter extracting unit 40 can extract the image adjustment parameter stored in the database 200 corresponding to the information about the user or the information about the object. The image adjustment parameters may include window width / level, filter type, degree of zoom, parameters used in MPR or MIP.

The image characteristic adjustment unit 38 can adjust the characteristics of the medical image captured by the medical image capturing unit 36 based on the image adjustment parameter extracted by the image adjustment parameter extraction unit 40. [ The image characteristic may include at least one of brightness, saturation, color, contrast, and sharpness of the image.

The medical image whose image characteristics are adjusted can be displayed on the output unit 34. [ In addition, the medical image whose image characteristics are adjusted can be transmitted to the diagnosis unit which gave the imaging instruction through the communication unit (not shown).

The output unit 34 can output the image data or the reconstructed image data generated by the image characteristic adjustment unit 38 to the user. The output unit 34 may output information necessary for a user to operate the MRI system, such as a user interface (UI), user information, or object information. The output unit 34 may include a speaker, a printer, a CRT display, an LCD display, a PDP display, an OLED display, a FED display, an LED display, a VFD display, a DLP display, a PFD display, a 3D display, And may include a variety of output devices within the scope of what is known to those skilled in the art.

The parameter learning unit 70 can receive the image adjustment parameter from the diagnosis through the communication unit (not shown). The image adjustment parameter received from the diagnosis may be a parameter used for the image characteristic readjusted by the diagnosis.

The parameter learning unit 70 can calculate the preferable image adjustment parameter of the diagnosis from the received image adjustment parameter.

The preferred image adjustment parameter of the diagnosis may be the statistical value of the image adjustment parameter used for the image adjustment of the diagnosis. That is, the image adjustment parameters stored in the database and the image adjustment parameters used for the image re-adjustment of the diagnosis can be statistically processed, so that the image adjustment parameters preferred by the diagnosis can be calculated.

 For example, the preferred image adjustment parameter of the diagnosis may be an average value of the previously received image adjustment parameter. In addition, the preferred image adjustment parameter of the diagnosis may be a weighted average value in which the weighted value increases with a recently received parameter. In addition, the preferred image adjustment parameter of the diagnosis may be a weighted average value in which the user evaluates the adjusted medical image and changes the weight according to the score.

The parameter learning unit 70 can update the image adjustment parameter calculated by the statistical process with the image adjustment parameter value corresponding to the diagnosis.

8 is a diagram showing a method of displaying a plurality of medical images for a target object, according to an embodiment of the present invention.

Each screen is displayed sequentially after the object is photographed and adjusted according to the protocol sequence. The 840 tab corresponds to the 810 screen, the 850 tab corresponds to the 820 screen, and the 860 tab corresponds to the 830 screen. The corresponding screen may be displayed before other screens as the tabs at the bottom of the screen are selected. As a result, the medical images may be automatically displayed in the order in which they were photographed or in the image-adjusted order, and may be displayed at the maximum possible size, and at the same time, selection for each screen may be possible.

The above-described embodiments of the present invention can be embodied in a general-purpose digital computer that can be embodied as a program that can be executed by a computer and operates the program using a computer-readable recording medium.

The computer readable recording medium may be a magnetic storage medium such as a ROM, a floppy disk, a hard disk, etc., an optical reading medium such as a CD-ROM or a DVD and a carrier wave such as the Internet Lt; / RTI > transmission).

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, It will be understood. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

Claims (15)

A method for adjusting a medical image of a subject photographed by a medical image photographing apparatus,
Acquiring information on a user diagnosing a medical image of the object or information on the object;
Extracting image adjustment parameters corresponding to the information on the user or the information on the object from the database; And
And adjusting a characteristic of the medical image based on the extracted image adjustment parameter. The method according to claim 1,
Wherein the image adjustment parameter comprises:
And the image adjustment parameter is calculated based on the image adjustment parameter previously used by the user. The method according to claim 1,
A method of adjusting a medical image,
Receiving an image adjustment parameter used for re-adjustment of the medical image from the user; And
And updating the image adjustment parameter value of the database corresponding to information on the user or information on the object based on the received parameter. The method according to claim 1,
The image characteristic may be,
Wherein the medical image includes at least one of brightness, saturation, color, contrast, and sharpness of the image. A method for acquiring a medical image of a target object using a medical image capturing apparatus,
Acquiring information on at least one of a first user using the medical image photographing apparatus and a second user diagnosing a medical image of the object, and information on the object;
Extracting from the database information on at least one of the first user and the second user, and an imaging condition corresponding to the information about the object; And
And photographing the object based on the extracted photographing condition. 6. The method of claim 5,
Wherein the photographing condition includes at least one of a protocol and a parameter value set in the medical image photographing apparatus. 6. The method of claim 5,
Wherein the information about at least one of the first user and the second user includes:
And the identification information of at least one of the first user and the second user. 6. The method according to claim 1 or 5,
The information on the target object may be,
And information on at least one of a disease name of the object, a photographing region of the object, and a photographing direction of the object. 6. The method of claim 5,
The medical image acquisition method includes:
And displaying a plurality of selection menus corresponding to each of the plurality of medical images when the plurality of medical images for the target body are acquired and displaying the selection menus selected by the first user or the second user among the plurality of medical images Further comprising the step of displaying a corresponding medical image. A medical imaging apparatus for adjusting a medical image of a target object,
An information obtaining unit for obtaining information on a user diagnosing the medical image of the object or information on the object;
A parameter extracting unit for extracting, from a database, image adjustment parameters corresponding to the information on the user or the information on the object; And
And an image characteristic adjustment unit for adjusting characteristics of the medical image based on the extracted image adjustment parameter. 11. The method of claim 10,
Wherein the image adjustment parameter comprises:
And the image adjustment parameter is calculated based on the image adjustment parameter previously used by the user. 11. The method of claim 10,
Wherein the information obtaining unit includes receiving image adjustment parameter information for re-adjusting the medical image from the user,
Wherein the medical imaging device comprises:
Further comprising a parameter learning unit for calculating an image adjustment parameter value of the database corresponding to the information on the user or the information on the object based on the received parameter and updating the calculated image adjustment parameter value in the database. 11. The method of claim 10,
The image characteristic may be,
Wherein the medical image includes at least one of brightness, saturation, color, contrast, and sharpness of the image. A medical imaging apparatus for acquiring a medical image of a target object,
An information obtaining unit that obtains information on at least one of a first user using the medical imaging apparatus and a second user diagnosing a medical image of the object, and information on the object;
A parameter extracting unit for extracting, from a database, information relating to at least one of the first user and the second user, and a photographing condition corresponding to the information about the object; And
And a medical image capturing section for capturing the object based on the extracted capturing condition. 15. The method of claim 14,
Wherein,
And a protocol and parameter values set in the medical imaging device.

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