KR102412996B1 - Medical image acquisition method and apparatus thereof - Google Patents

Abstract

The present invention relates to a method for acquiring a medical image and an apparatus therefor. According to an embodiment of the present invention, in a method for generating a medical image in a medical image generating apparatus for generating medical image information including a plurality of pixels, a plurality of pieces of image data respectively corresponding to the plurality of pixels are provided. acquiring first medical image information including a value; calculating a second derivative of at least one of the plurality of imaged data values or a representative value or a sum of at least one group consisting of a part of the plurality of imaged data values; and determining a defective pixel among the pixels based on the calculated second differential value.

Description

Medical image acquisition method and apparatus therefor

The present invention relates to a method for acquiring a medical image and an apparatus therefor.

An X-ray imaging apparatus, which is widely used in the field of medical technology such as dentistry, irradiates X-rays to the human body and acquires an image of the inside of the human body. Through this, abnormalities inside the human body are detected.

In particular, among X-ray imaging devices, a CT imaging device is of great help in understanding the state of anatomical structures such as the thickness of alveolar bone and the location of major nerves for implant surgery.

As such, an X-ray imaging device used for diagnostic purposes in a medical field such as dentistry generally irradiates X-rays generated from a generator, and transmits X-rays that partially penetrate or do not penetrate the examinee's body with the generator. It receives light through the facing detector. Then, the received X-rays are converted into electrical signals to generate projection data. In particular, the X-ray imaging apparatus may generate an electrical signal necessary for generating X-ray image data by continuously irradiating and receiving X-rays while rotating the generator and the detector about a rotation axis.

This projection data acquisition method can examine the internal state of the examinee's body, such as all teeth and anatomical structures, with one shot, and has advantages such as low radiation dose and fast imaging time. The projection data is converted into an X-ray image such as a CT image through stitching and reconstruction processes.

The detector generally includes an image sensor in which a pixel unit sensor that receives X-rays and emits an electrical signal is arranged. A defective pixel may be included in the acquired image information due to a defect occurring in some of the pixel unit sensors. In some cases, such defective pixels may appear in units of dots. Alternatively, in some cases, defects may occur in all pixels included in one or more lines.

Defective pixels included in the medical image information can be improved by replacing or repairing the image sensor, but since replacing or repairing the image sensor every time is not preferable in terms of cost and time, defects within a certain level can be corrected. needs to be improved by

The present invention has been devised in view of the above problems, and an object of the present invention is to provide a method for acquiring a medical image and an apparatus for the same, which can accurately and automatically find and correct a defect in a sensor or a pixel of image information. .

Another object of the present invention is to provide a method for acquiring a medical image capable of determining a sensor replacement time by determining a degree of a sensor defect, and an apparatus therefor.

Another object of the present invention is to provide a method for acquiring a medical image capable of distinguishing and detecting defective pixels in units of points and lines, and an apparatus therefor.

In order to solve the above technical problem, the method of generating a medical image in a medical image generating apparatus for generating medical image information including a plurality of pixels according to the present invention includes a plurality of pixels respectively corresponding to the plurality of pixels. obtaining first medical image information including an imaged data value of ; calculating a second derivative of at least one of the plurality of imaged data values or a representative value or a sum of at least one group consisting of a part of the plurality of imaged data values; and determining a defective pixel among the pixels based on the calculated second differential value.

and generating second medical image information by correcting an imaged data value corresponding to the defective pixel by using an imaged data value corresponding to at least one pixel adjacent to the defective pixel among the plurality of pixels. can

In addition, the acquiring of the first medical image information may include acquiring the plurality of imaged data values in the form of a two-dimensional array.

The calculating may include calculating at least one second-order differential value among the plurality of imaged data values, and the determining may include, among the plurality of pixels, a corresponding second-order differential value of the first reference. It can be determined that the defective pixel is outside the range according to the

The calculating may include a difference between at least one second differential value among the plurality of imaged data values and an imaged data value corresponding to one of adjacent pixels of a pixel corresponding to the at least one of the plurality of pixels. and calculating a value, wherein the determining comprises: when the second differential value deviates from a range according to a first criterion and the difference value deviates from a range according to a second criterion, and wherein the one of the adjacent pixels is In the case of a defective pixel, a pixel corresponding to at least one of the plurality of imaged data values among the plurality of pixels may be determined as a defective pixel.

And, the determining may include: when the second differential value does not deviate from the range according to the first criterion and the difference value does not deviate from the range according to the second criterion, and one of the adjacent pixels is a defective pixel, the Among the plurality of pixels, a pixel corresponding to the at least one of the plurality of imaged data values may be determined as a defective pixel.

Also, in the determining step, the second differential value of the imaging data values corresponding to each of two of the adjacent pixels does not deviate from the range according to the first criterion, and the secondary differential value does not deviate from the range according to the first criterion. , and the difference value does not deviate from the range according to the second criterion, a pixel corresponding to at least one of the plurality of imaged data values among the plurality of pixels may be determined as a defective pixel.

In the determining step, the second differential value does not deviate from the range according to the first criterion and at least one of the two of the adjacent pixels does not deviate from the range according to the first criterion, and the adjacent pixel among the plurality of pixels, a pixel corresponding to at least one of the plurality of imaged data values is determined as a defective pixel when the one of the plurality of pixels is a defective pixel and the difference value does not deviate from the range according to the second criterion. can

In addition, the at least one group is a set of imaging data values corresponding to one horizontal or vertical line of the two-dimensional array, and the representative value is any one of an average value and a weighted average value, and the calculating includes: Calculating a representative value or a second derivative of each of the sum, and the determining comprises: defecting pixels belonging to the at least one group whose second derivative corresponds to a deviation from a range according to the first criterion It can be determined by pixel group.

In addition, the at least one group is plural, the plurality of groups are sets of imaging data values corresponding to one horizontal or vertical line of the two-dimensional array, and the representative value is any one of an average value and a weighted average value. , wherein the calculating includes: a second derivative of each of the representative value or the sum; or calculating a difference value from the sum, wherein the determining comprises: the second derivative deviates from a range according to a first criterion and the difference value deviates from a range according to a second criterion and the adjacent value When the one of the groups is a defect group, the first group may be determined as a defect group.

The method may further include generating or updating a defect map based on the determined defective pixel.

The acquiring of the first medical image information may include: acquiring a plurality of raw data value sets each including a plurality of raw data values classified for each pixel; and generating the plurality of imaged data values based on an average value or a sum of those corresponding to one of the plurality of pixels among the plurality of raw data values.

The method may further include correcting the raw data value corresponding to the defective pixel based on the generated defect map for each of the plurality of raw data value sets.

In addition, each of the plurality of raw data value sets may be a set of respective captured data values of at least a portion of a plurality of CT projection images generated through a single CT scan of at least a part of the human body.

In order to solve the above technical problem, the method of generating a medical image in a medical image generating apparatus for generating medical image information including a plurality of pixels according to the present invention includes a plurality of pixels respectively corresponding to the plurality of pixels. obtaining first medical image information including an imaged data value of ; calculating at least one first nth-order differential value among the plurality of imaged data values; calculating a second nth-order differential value of any one of a representative value or a sum of at least one group composed of a part of the plurality of imaged data values; and determining a defective pixel from among the pixels based on the calculated first nth differential value and the second nth differential value, wherein n may be a natural number equal to or greater than 1 .

The acquiring of the first medical image information includes acquiring the plurality of imaged data values in the form of a two-dimensional array, and the at least one group corresponds to one horizontal or vertical line of the two-dimensional array. It may be a set of captured image data values.

The method may further include generating second medical image information by correcting an imaged data value corresponding to the defective pixel by using an imaged data value corresponding to at least one pixel adjacent to the defective pixel among the plurality of pixels. can

The acquiring of the first medical image information may include: acquiring a plurality of raw data value sets each including a plurality of raw data values classified for each pixel; and generating the plurality of imaged data values based on an average value or a sum of those corresponding to one of the plurality of pixels among the plurality of raw data values, wherein the method for generating a medical image includes: generating or updating a defect map based on the defective pixel; and correcting the raw data value corresponding to the defective pixel for each of the plurality of raw data value sets based on the generated defect map.

According to an aspect of the present invention, there is provided a medical image generating apparatus for generating medical image information including a plurality of pixels, each of which includes a plurality of imaged data values respectively corresponding to the plurality of pixels. an image information acquisition unit configured to acquire first medical image information; at least one of the plurality of imaged data values or a second derivative value of any one of a representative value or a sum of at least one group composed of a part of the plurality of imaged data values, and the calculated 2 and a controller configured to determine a defective pixel from among the pixels based on the difference differential value.

and an image information generator configured to generate second medical image information by correcting an imaged data value corresponding to the defective pixel by using an imaged data value corresponding to at least one pixel adjacent to the defective pixel among the plurality of pixels. may include

The X-ray imaging unit may further include an X-ray imaging unit configured to generate the first medical image information by performing X-ray imaging of the subject.

According to various embodiments of the present disclosure, it is possible to minimize the inconvenience of maintenance technicians and users by accurately and automatically finding and correcting defects in pixels of sensors or image information.

In addition, according to various embodiments of the present disclosure, it is possible to more accurately detect the degree of a defect in the sensor and determine the sensor replacement time, thereby enabling efficient operation and maintenance of the device.

In addition, according to various embodiments of the present disclosure, it is possible to improve the reliability of detection by distinguishing and detecting defective pixels in units of points and lines.

1 is an exemplary view for explaining the appearance of an X-ray imaging apparatus according to an embodiment of the present invention.
FIG. 2 is an exemplary diagram illustrating an arrangement state of examinees for X-ray imaging in the X-ray imaging apparatus according to an embodiment of the present invention.
3 is a block diagram illustrating a configuration of an apparatus for generating a medical image according to an embodiment of the present invention.
4 is a diagram for explaining a data structure of an imaged data value according to an embodiment of the present invention.
FIG. 5 is a diagram for explaining artifacts in an X-ray image that are generated by defective pixels in units of points and lines of a medical image.
6 is a flowchart illustrating a method for generating a medical image according to an embodiment of the present invention.
7 is a diagram for explaining a method of generating a medical image according to an embodiment of the present invention.
8 is a diagram for explaining a method of generating a medical image according to an embodiment of the present invention.
9 is a diagram for explaining a method of generating a medical image according to an embodiment of the present invention.
10 is a flowchart illustrating a method of generating a medical image according to an embodiment of the present invention.
11 is a view for explaining a method of generating a medical image according to an embodiment of the present invention.
12 is a view for explaining a defect map according to an embodiment of the present invention.
13 is a flowchart illustrating a method for generating a medical image according to an embodiment of the present invention.
14 is a flowchart illustrating a method for generating a medical image according to an embodiment of the present invention.
15 is a flowchart illustrating a method for generating a medical image according to an embodiment of the present invention.

The following is merely illustrative of the principles of the invention. Therefore, those skilled in the art will be able to devise various devices that, although not explicitly described or shown herein, embody the principles of the present invention and are included within the spirit and scope of the present invention. In addition, all conditional terms and examples listed herein are, in principle, expressly intended only for the purpose of understanding the concept of the present invention, and it should be understood that they are not limited to the specifically enumerated embodiments and states as such. do.

Moreover, it is to be understood that all detailed description reciting specific embodiments, as well as principles, aspects, and embodiments of the invention, are intended to include structural and functional equivalents of such matters. It should also be understood that such equivalents include not only currently known equivalents, but also equivalents developed in the future, i.e., all devices invented to perform the same function, regardless of structure.

Thus, for example, the flowcharts herein are to be understood as representing conceptual views of illustrative circuitry embodying the principles of the invention. Similarly, all flowcharts, state transition diagrams, pseudo code, etc. may be tangibly embodied on computer-readable media and be understood to represent various processes performed by a computer or processor, whether or not a computer or processor is explicitly shown. should be

The functions of the various elements shown in the figures including a processor or functional blocks represented by similar concepts may be provided by the use of dedicated hardware as well as hardware having the ability to execute software in association with appropriate software. When provided by a processor, the functionality may be provided by a single dedicated processor, a single shared processor, or a plurality of separate processors, some of which may be shared.

In addition, the clear use of terms presented as processor, control, or similar concepts should not be construed as exclusively referring to hardware having the ability to execute software, and without limitation, digital signal processor (DSP) hardware, ROM for storing software. It should be understood to implicitly include (ROM), RAM (RAM) and non-volatile memory. Other common hardware may also be included.

In the claims of the present specification, a component expressed as a means for performing the function described in the detailed description includes, for example, a combination of circuit elements that perform the function or software in any form including firmware/microcode, etc. It is intended to include all methods of performing the function of the device, coupled with suitable circuitry for executing the software to perform the function. Since the present invention defined by these claims is combined with the functions provided by the various enumerated means and in a manner required by the claims, any means capable of providing the functions are equivalent to those contemplated from the present specification. should be understood as

The above objects, features and advantages will become more apparent through the following detailed description in relation to the accompanying drawings, and accordingly, those of ordinary skill in the art to which the present invention pertains can easily implement the technical idea of the present invention. There will be. In addition, in the description of the present invention, if it is determined that a detailed description of a known technology related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

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

1 is an exemplary view for explaining the appearance of an X-ray imaging apparatus according to an embodiment of the present invention.

The X-ray imaging apparatus 10 is an apparatus that X-rays at least a part of the examinee's body to generate an X-ray image 300 including the shape of an anatomical structure of the examinee's body.

According to an embodiment of the present invention, the X-ray imaging apparatus 10 includes a pedestal 190 , a support column 185 , a monitor 175 , a gantry 130 , a handle 195 , and a head unit 180 . may include

In addition, the pedestal 190 is configured to face the floor surface on which the apparatus 10 is installed to support the standing of the X-ray imaging apparatus 10, and the support column 185 stands vertically from the pedestal 190, The height may be adjusted by sliding.

In addition, the monitor 175 is a configuration in which the user can check the use of the device 10 (eg, rotation of the gantry 113, start and end of CT scan, etc.). The gantry 113 may be located under the head portion 180 of the upper portion of the device 10 .

In addition, the monitor 175 may be utilized as a user interface. That is, the user may input a command for the operation of the device 10 through the monitor 175 , and may receive information about the current operation of the device 10 or progress information of a data processing task. To this end, the monitor 175 may include a touch panel. In addition, the user interface may be implemented through a GUI.

Also, the alignment unit 160 may further include at least one of a chin-nest 161 and a bite block 163 . As can be seen in FIG. 1 , the bib 161 is a part on which the examinee 400 grips a part of the body such as a chin. In addition, the bite block 163 is a part that the examinee 400 can bite with a part of the body, such as teeth. The main use of the bite block 163 is also to align the body posture of the examinee 400 .

FIG. 2 is an exemplary diagram illustrating an arrangement state of examinees for X-ray imaging in the X-ray imaging apparatus according to an embodiment of the present invention.

As shown in (a) of FIG. 2 , the gantry 113 , the generator 111 and the detector 112 may be configured in a 'C' shape, and the body of the examinee 400 is located between them. are sorted The combination of the gantry 113 , the generator 111 , and the detector 112 is also referred to as a C-arm.

Also, the apparatus 10 may include an X-ray imaging unit 110 .

According to an embodiment of the present invention, the X-ray imaging unit 110 may include a generator 111 and a detector 112 . In addition, according to an embodiment, the gantry 113 rotating about the rotating shaft 114 and the driving unit 150 for moving the rotating shaft 114 may be further included.

The generator 111 and the detector 112 may be attached to both ends of a rotating means called the gantry 113 . The gantry 113 may be connected to a rotation shaft 114 centered on a straight line in the vertical direction of the examinee 400 to rotate.

The driving unit 150 is a component for changing the relative positions of the examinee 400 and the X-ray imaging unit 110. According to an embodiment of the present invention, the driving unit 150 includes a rotary motor, a screw, and a linear guide, or It may be implemented in a manner including a linear motor.

More specifically, a rotational driving motor (not shown), a screw (not shown) rotating by receiving the rotational force of the driving motor, the shaft is inserted into the screw and the longitudinal direction of the screw by rotation of the screw It can be used as a configuration of an embodiment to include a block (not shown) that slides along the block (not shown), and to attach a separate component that can apply an external force to the test taker 400 to the block.

Preferably, the block is configured to perform a linear motion without separation according to a separately provided linear guide (not shown). In addition, it is preferable that stoppers (not shown) are provided at both ends of the linear guide or the screw to act as a limit point of the translational motion.

The apparatus 100 for generating a medical image according to an embodiment of the present invention generates an X-ray image 300 as shown in FIG. 2B or the image 300 based on the electrical signal output from the detector 112 . ) can be converted into image information.

The apparatus 100 for generating a medical image according to an embodiment of the present invention may be an apparatus for generating an X-ray image 300 including the shape of the anatomical structure of the examinee (head) 400 .

The X-ray image 300 may be generated based on second medical image information described below.

3 is a block diagram illustrating a configuration of an apparatus for generating a medical image according to an embodiment of the present invention.

The apparatus 100 for generating a medical image according to an embodiment of the present invention includes the image information obtainer 120 and the controller 140 to generate medical image information including a plurality of pixels. .

The image information acquisition unit 120 may be configured to acquire first medical image information including a plurality of imaged data values respectively corresponding to the plurality of pixels.

The imaged data value may be a value generated based on an electrical signal converted by X-rays that have passed through a part of the body of the examinee 400 received by the detector 112 . The detector 112 may be an image sensor including a plurality of sensors in units of pixels. The image sensor may be implemented as a charge-coupled device (CCD) or a complementary metal-oxide semiconductor (CMOS) according to an embodiment.

The control unit 140 may include a microprocessor, a memory, and the like, and may be configured to perform an operation. According to an embodiment, it may be implemented through the CPU of the computer.

The controller 140 may calculate an nth-order differential value of at least one of the plurality of imaged data values.

Alternatively, the controller 140 may calculate an nth-order differential value of any one of a representative value or a sum of at least one group composed of a part of the plurality of imaged data values.

The n may be a natural number of 1 or more. Preferably, n is 2.

As described above, by calculating the nth-order differential value of the representative value or the sum of the groups, it is possible to easily detect that a defect has occurred in the pixels of the group unit uniformly.

The representative value may be a value representative of the imaging data value included in the group. According to an embodiment, it may be a value representing a group such as a median value, a mode value, or an average value. Preferably, it is an average value, especially an arithmetic mean value.

Also, the controller 140 may determine a defective pixel from among the pixels based on the calculated nth-order differential value.

The apparatus 100 for generating a medical image according to an embodiment of the present invention may include a configuration of the dental X-ray imaging apparatus 10 . In this embodiment, the apparatus 100 for generating a medical image may further include an X-ray imaging unit 110 as shown in FIG. 2 .

In another embodiment of the present invention, the apparatus 100 for generating a medical image is connected to the dental X-ray imaging apparatus 10 in a wired or wireless manner to obtain medical image information from the X-ray imaging apparatus 10 in the form of transmission or the like. can do.

4 is a diagram for explaining a data structure of an imaged data value according to an embodiment of the present invention.

As shown in FIG. 4 , the image information obtaining unit 120 of the present invention may obtain the plurality of captured data values in the form of a two-dimensional array.

The rectangles shown in FIG. 4 may mean positions positioned as elements in each array of imaging data values. Accordingly, each rectangle may correspond to each pixel included in the medical image information acquired by the image information acquisition unit 120 . In addition, it may correspond to each pixel unit sensor included in the detector 112 .

Each of the imaged data values may be expressed as a number within a predetermined range. According to an embodiment, it may be a value included in a range of 0 to 255 or 0 to 25535.

When it is determined that there is an abnormality in the imaged data value at the (m,n) position shown in FIG. 4 , it may be determined that the pixel corresponding to the (m,n) position is a defective pixel.

Also located on the nth line, that is, (1, n), (2, n), ... , (M, n), when it is determined that there is an abnormality in the imaging data value, it may be determined that all pixels corresponding to the n-th line are defective pixels. In this case, the 'group' may be a set of imaging data values in units of horizontal or vertical lines in a data structure of a two-dimensional array.

FIG. 5 is a diagram for explaining artifacts in an X-ray image that are generated by defective pixels in units of points and lines of a medical image.

5 (a) and (b) are exemplary representations of X-ray images obtained by 3D CT imaging.

When a defective pixel in a dot unit is generated in the first medical image information, as indicated by an arrow in FIG. 5A , an X-ray image generated through a reconstruction operation based on the first medical image information ( A ring-shaped artifact may occur in 300 .

Such defective pixels in units of dots are mainly caused by defects of sensors in units of pixels of the detector 112 in many cases. In this case, the imaged data value is greatly distorted. Accordingly, as shown in Fig. 5 (a), a defect with a significantly different brightness than the surrounding is observed.

When a line-based defective pixel is generated in the first medical image information, as indicated by an arrow in FIG. 5B , an X-ray image generated through a reconstruction operation based on the first medical image information ( 300) may have an artifact in the shape of the circumference of the cylinder.

Such defective pixels in line units may be caused by at least one or more of the functional units that mainly transmit electrical signals generated in the pixel units of the sensor of the detector 112 in units of channels. The functional unit may have a configuration including a gate IC, an ROIC, or the like.

The degree of the defect of the functional part as described above may vary depending on the case, and in general, the imaged data value is less distorted than when an abnormality occurs in the pixel unit sensor, so that the defect may appear less clearly in the X-ray image 300 . There is (see Fig. 5 (b)). Accordingly, an effective method for detecting defective pixels in line units may be required.

The apparatus 100 for generating a medical image according to an embodiment of the present invention may further include an image information generating unit 170 .

The image information generator 170 may correct an imaged data value corresponding to the defective pixel by using an imaged data value corresponding to at least one pixel adjacent to the defective pixel among the plurality of pixels.

The image information generator 170 may generate second medical image information based on the corrected imaged data value.

According to an embodiment of the present invention, the image information generating unit 170 may have the same configuration as the control unit 140 .

According to an embodiment of the present invention, the image information generating unit 170 may be a separate configuration for transmitting and receiving data to and from the control unit 140 . In this case, the control unit 120 may be implemented as a CPU of a computer, and the image information generating unit 170 may be implemented as a graphics processing unit (GPU). In another embodiment, a server or terminal including each of the control unit 120 and the image information generating unit 170 may be separated and implemented to transmit and receive data between them by wire or wirelessly.

According to an embodiment of the present invention, the image information generating unit 170 may finally generate information of the X-ray image 300 by performing a task such as reconstruction on the second medical image information. have.

The apparatus 100 for generating a medical image according to an embodiment of the present invention may further include an X-ray imaging unit 110 . The X-ray imaging unit 110 may generate the first medical image information by performing X-ray imaging of a subject such as the body of the examinee 400 .

6 is a flowchart illustrating a method for generating a medical image according to an embodiment of the present invention.

The method for generating a medical image according to an embodiment of the present invention may be performed by the medical image generating apparatus 100 . Also, each step of the method for generating an X-ray image according to an embodiment of the present invention may be performed by the controller 140 or under the control of the controller 140 .

The method for generating a medical image according to an embodiment of the present invention may generate medical image information including a plurality of pixels.

As shown in FIG. 6 , the apparatus 100 for generating a medical image of the present invention may include acquiring first medical image information ( S100 ).

According to an embodiment of the present invention, the step of obtaining the medical image information ( S100 ) may be performed by the image information obtaining unit 120 .

The first medical image information may include a plurality of imaged data values. In addition, each of the plurality of imaging data values may correspond to each of the plurality of pixels.

The first medical image information may be generated by converting an electrical signal output from the detector 112 in the image information acquiring unit 120 or a separate functional unit.

The method of generating a medical image may further include calculating a second differential value ( S200 ).

In the calculating of the second differential value ( S200 ), at least one second differential value among the plurality of imaged data values may be calculated.

Alternatively, the calculating of the second differential value ( S200 ) may include calculating any one of a representative value or a sum of at least one group composed of a part of the plurality of imaged data values. .

According to an embodiment of the present invention, the step of calculating the second differential value ( S200 ) may be performed by the controller 140 .

As described above, by calculating the representative value of the group or the second derivative of the sum, it is possible to easily detect that the pixels of the group are uniformly defective.

The representative value may be a value representative of the imaging data value included in the group. According to an embodiment, it may be a value representative of a group such as a median value, a mode value, or an average value. Preferably, it is an average value, especially an arithmetic mean value.

The method of generating a medical image may further include determining a defective pixel ( S300 ).

In the determining of the defective pixel ( S300 ), a defective pixel may be determined from among the pixels based on the calculated second differential value.

7 is a diagram for explaining a method of generating a medical image according to an embodiment of the present invention.

7 (a) may mean a graph showing the distribution of imaged data values.

Values displayed on the horizontal axis of the graph of FIG. 7 ( a ) indicate position information of elements included in either horizontal or vertical line of the 2D array when the captured data values are obtained in the form of a 2D array , may be an index number such as m or n. The index numbers may correspond to each of the plurality of pixels. In this case, the values displayed on the vertical axis may mean a number representing an imaged data value.

As shown in FIG. 7A , as indicated by an arrow, a value protruding from the surrounding values may exist among the captured data values.

According to the present invention, the position of the protruding value and the corresponding defective pixel can be determined through the differential operation of the imaged data value.

7 (b1) shows values obtained by first-differentiating the imaged data values. Also, FIG. 7 (b2) shows absolute values of the first derivative values.

7 (c1) shows values obtained by second-order differentiation of the imaged data values. 7 (c2) also shows absolute values of the second derivative values.

According to an embodiment of the present invention, such differential operations may be performed with respect to a variable indicating a spatial location of the imaged data value. That is, differentiation may be performed using position information corresponding to the imaged data value included in the X-ray image 300 or first medical image information.

According to an embodiment of the present invention, in the determining ( S300 ), a defective pixel may be determined by determining whether the imaged data value is an abnormal value that deviates from a predetermined reference range.

In the determining step (S300), as shown in FIG. 7 (c2), an absolute value of an nth-order differential value (preferably a second-order differential value) of the imaged data value can be calculated, and the predetermined The reference range may mean a range in which the imaging data value exists when the absolute value falls within a predetermined value ('A' in FIG. 7C2 ).

In the case of performing the first differentiation, as indicated in the dotted circle in FIG. 7 (b2), even in a normal area such as a boundary within the shape of a subject or a boundary between a subject and air, it is similar to that caused by a defect in a functional part such as a sensor. Strange' first-order derivatives may occur.

Therefore, when performing the first differentiation, it may be difficult to accurately find a defective pixel.

When the second differentiation is performed, as shown in FIG. 7 ( c2 ), an 'abnormal' second derivative value does not occur in a region such as a normal boundary.

Accordingly, in the image generating method according to an embodiment of the present invention, a defective pixel may be accurately determined by performing the second differentiation.

8 is a diagram for explaining a method of generating a medical image according to an embodiment of the present invention.

Among the eight pixels shown in FIG. 8 , the central pixel means a defective pixel. The imaging data value P corresponding to the defective pixel may be a value that deviates from a predetermined reference range.

The method for generating a medical image according to an embodiment of the present invention may further include generating second medical image information by correcting an imaged data value ('P' in FIG. 8 ) corresponding to the defective pixel ( S400 ). can

The second medical image information may be converted into the X-ray image 300 of the examinee 400 through an operation such as reconstruction.

In the generating ( S400 ) of the second medical image information, at least one of the plurality of pixels adjacent to the defective pixel is selected to correct an imaged data value ( 'P' in FIG. 8 ) corresponding to the defective pixel. The imaging data value corresponding to the pixel can be used.

According to an embodiment of the present invention, the 'imaging data value corresponding to at least one pixel adjacent to the defective pixel among the plurality of pixels' may be p1 to p4 shown in FIG. 8 .

According to an embodiment of the present invention, P may be corrected by replacing the average value of p1 to p4, which are peripheral values. Alternatively, it is also possible to average or weighted average of 8 values and correct based on this.

According to an embodiment of the present invention, when at least one of the peripheral values p1 to p4 is a value corresponding to a pixel defect by deviating from a predetermined reference range, it may be excluded when calculating the average value as described above.

In addition, according to an embodiment of the present invention, when at least one of the peripheral values p1 to p4 is a corrected value, this may be included when calculating the average value as described above.

In the obtaining ( S100 ) of the first medical image information according to an embodiment of the present invention, the plurality of imaged data values may be obtained in the form of a two-dimensional array as shown in FIG. 4 .

The calculating ( S200 ) may include calculating at least one second differential value among the plurality of imaged data values. In this case, in the determining step ( S300 ), among the plurality of pixels, a corresponding second-order differential value deviating from a range according to the first criterion may be determined as the defective pixel.

According to an embodiment of the present invention, as shown in FIG. 7(c2), the 'range according to the first criterion' is a predetermined value ('A' in FIG. 7(c2)) ') may mean a range in which the captured data value exists.

The predetermined value 'A' may be determined as an appropriate level in consideration of a general distribution of normal imaging data values and a general distribution of defective pixels. For example, it is possible to determine in the range of 100 to 150 in consideration of the distribution of (FIG. 7(c2)).

9 is a diagram for explaining a method of generating a medical image according to an embodiment of the present invention.

In the case of FIG. 9 , a bright area in the center may mean an area occupied by a defective pixel in the first medical image information. As many defective pixels as the number of circles in FIG. 9 may exist.

Defective pixels adjacent to each other as shown in FIG. 9 cannot be detected by a method of simply comparing imaged data values between adjacent pixels.

In order to detect consecutively adjacent defective pixels as described above, the method for generating a medical image according to an embodiment of the present invention includes a series of steps as follows. These series of steps may be performed alone or in combination.

According to an embodiment of the present invention, in particular, when the first medical image information is acquired in the form of a two-dimensional array as shown in FIG. 4 , the following series of steps are continuous as shown in FIG. 9 in units of dots. In order to detect a defective pixel, n is increased from 1 to N and m is increased from 1 to M, and may be performed as many as the number of elements in the two-dimensional array.

According to an embodiment of the present invention, in particular, when the first medical image information is acquired in the form of a two-dimensional array as shown in FIG. 4 , the following series of steps are performed in order to detect defective pixels successively in line units. Increasing n from 1 to N or m from 1 to M may be performed as many as the number of horizontal or vertical lines of the two-dimensional array. In this case, the 'imaging data value' described in the following series of steps may be replaced with a 'representative value or sum of the imaging data values' for each line.

According to an embodiment of the present invention, in the calculating ( S200 ), a second differential value of at least one (eg, 'S') of the plurality of imaged data values and the at least one of the plurality of pixels Calculating a difference value (eg, 'S-T') from an imaging data value (eg, 'T') corresponding to one of adjacent pixels of a pixel corresponding to (the 'S') (S210) may include The 'difference value' may mean a difference between two values.

According to an embodiment of the present invention, when the plurality of pixels correspond to a two-dimensional array as shown in FIG. 4, a position on the two-dimensional array corresponding to the defective pixel is (m, n), corresponding to the adjacent pixel The position on the two-dimensional array to be used may be (m, n-1).

In addition, in the determining ( S300 ), it is determined whether the second differential value deviates from the range according to the first criterion, the difference value deviates from the range according to the second criterion, and whether the one of the adjacent pixels is a defective pixel. can judge

Whether the one of the adjacent pixels is a defective pixel may be determined by performing a previous round of the determining ( S300 ).

The second criterion may also be selected through the same procedure as when the first criterion is selected in consideration of a general distribution in which the difference value exists.

Also, in the determining ( S300 ), a pixel corresponding to the at least one (the 'S') among the plurality of imaged data values among the plurality of pixels may be determined as a defective pixel.

By performing in this way, in the method for generating a medical image of the present invention, even if the imaged data value deviates from the range according to the first criterion, the difference between the contiguous pixel and whether the contiguous pixel is another defective pixel is added. By judging, it is possible to prevent erroneous decisions from being made.

According to an embodiment of the present invention, the determining ( S300 ) may include: the second differential value deviates from the range according to the first criterion and the difference value does not deviate from the range according to the second criterion. It is determined whether the one of the adjacent pixels corresponds to a defective pixel, and in this case, among the plurality of pixels, a pixel corresponding to the at least one (the 'S') among the plurality of imaged data values can be determined as a defective pixel. have.

By performing in this way, the method for generating a medical image of the present invention determines a defective pixel when such deviation occurs by concatenating another defective pixel even if the imaged data value deviates from the range according to the first criterion. By excluding it, it is possible to prevent erroneous decisions from being made.

According to an embodiment of the present invention, in the determining ( S300 ), the second-order differential value does not deviate from the range according to the first criterion, and the second order of the imaged data values corresponding to two of the adjacent pixels. It is determined whether the differential value deviates from the range according to the first criterion and the difference value does not deviate from the range according to the second criterion, and in this case, among the plurality of pixels, among the plurality of imaged data values A pixel corresponding to the at least one (the K′) may be determined as a defective pixel.

By performing in this way, in the method of generating a medical image of the present invention, even if the imaged data value does not deviate from the range according to the first criterion, it is contiguous with another defective pixel or two defective candidate pixels, and the difference value is If the value is less than a predetermined value, it is determined as a defective pixel, thereby preventing an erroneous determination from being made.

According to an embodiment of the present invention, in the determining ( S300 ), the second differential value does not deviate from the range according to the first criterion, and at least one of the two of the adjacent pixels meets the first criterion. judging whether the one of the adjacent pixels is a defective pixel and the difference value does not deviate from the range according to the second criterion without departing from the range according to the A pixel corresponding to at least one of the data values (the K′) may be determined as a defective pixel.

By performing in this way, the method for generating a medical image of the present invention provides that the contiguous pixel is a defective pixel and the difference value is within the range according to the second criterion, even when the imaged data value does not deviate from the range according to the first criterion. In this case, by determining as a defective pixel, it is possible to prevent an erroneous determination from being made.

The 'at least one group' may be a set of imaging data values corresponding to one horizontal or vertical line of the two-dimensional array.

The representative value may be any one of an average value and a weighted average value.

The average value may preferably be an arithmetic average. In addition, the weighted average value can be calculated based on an appropriate weight that varies depending on the position of the pixel on the image information.

According to an embodiment of the present invention, in the calculating ( S200 ), each second derivative value of the representative value or the sum may be calculated.

Also, in the determining ( S300 ), pixels belonging to a group corresponding to the second differential value deviating from the range according to the first criterion among the at least one group may be determined as the defective pixel group.

According to an embodiment of the present invention, the at least one group may be a set of imaging data values corresponding to each of at least one horizontal or vertical line of a two-dimensional array as shown in FIG. 4 .

The at least one group may be plural.

The plurality of groups may be sets of imaging data values corresponding to any one horizontal or vertical line of the two-dimensional array (refer to FIG. 4 ).

The representative value may be any one of an average value and a weighted average value.

In the calculating (S200), each second derivative value of the representative value or the sum, and an imaging data value corresponding to one of the adjacent groups of the first group corresponding to each of the representative value or the sum among the plurality of groups and calculating (S200) a representative value or a difference value with the sum of , wherein the determining (S300) includes: the second differential value is outside the range according to the first criterion and the difference value is the second criterion , and when the one of the adjacent groups is a defect group, the first group may be determined as a defect group.

10 is a flowchart illustrating a method of generating a medical image according to an embodiment of the present invention.

Acquiring the first medical image information ( S100 ) may include acquiring a plurality of raw data value sets each including a plurality of raw data values divided for each pixel ( S110 ).

The method may further include generating the plurality of imaged data values based on an average value or a sum of those corresponding to one of the plurality of pixels among the plurality of raw data values (S120).

This will be described in detail with reference to the drawings as follows.

11 is a view for explaining a method of generating a medical image according to an embodiment of the present invention.

11 (a) may show the raw data values of one group (one line of a two-dimensional array) included in any one of the plurality of raw data value sets.

The raw data value may be a converted electrical signal output from the detector 112 as it is.

As shown in FIG. 11( a ), the raw data values may be distributed in a sawtooth shape as a whole. Such a sawtooth shape may be due to noise or may be due to the structure of a subject to be photographed.

11( b ) may indicate that the plurality of raw data value sets are overlapped with each other in the generating step S120 , and an average or sum of the imaged data values corresponding to each pixel is calculated. It can be seen that the sawtooth shape as in FIG. 11(a) is significantly reduced, and the peak (parts indicated by arrows in FIG. 11(b)) of the value corresponding to the defective pixel becomes prominent.

12 is a diagram for explaining a defect map according to an embodiment of the present invention.

The method of generating a medical image according to an embodiment of the present invention may further include generating a defect map as shown in FIG. 12 or updating an already generated defect map ( S500 ). Such a creation or update operation may be generated based on the determined defective pixel as described above.

That is, the area of the black rectangle of FIG. 12 may correspond to the two-dimensional array, and the lines and dots indicated by arrows may correspond to the positions of the defective pixels in units of lines and the positions of the defective pixels in units of points, respectively. .

The defect map may be generated based on the determined defective pixel.

Such a defect map may be usefully utilized for correcting defects.

In the method for generating a medical image according to an embodiment of the present invention, for each set of the plurality of raw data values, correcting the raw data value corresponding to the defective pixel based on the generated defect map (S600) may further include.

By performing correction for each raw data value set using one generated or updated defect map in this way, time for correction can be saved. In addition, when each of the raw data value sets is a projection image obtained to be reconstructed into a 3D CT image 300, etc., correcting each of these is performed in order to secure the image quality of the final 3D CT image 300, etc. will take on important meaning.

13 is a flowchart illustrating a method for generating a medical image according to an embodiment of the present invention.

As shown in FIG. 13 , in the method for generating a medical image according to an embodiment of the present invention, a defect (or pixel defect) of a sensor (detector) does not occur more than a predetermined criterion ('No'). The map (defect map) can be updated. After updating in this way, it is determined that there is no problem in the image, and the X-ray image 300 may be generated.

Although the sensor defect (or pixel defect) is corrected through the updated defect map as described above, it is determined that there is no problem in the image even if the sensor defect (or pixel defect) is not additionally detected (determined), so that the X-ray image 300 can create

In addition, when a sensor defect (or pixel defect) is further detected (determined) and the defect occurs more than the predetermined criterion, it is possible to inform that the sensor needs to be replaced. In this notification operation, the medical image generating apparatus 100 further includes a notification unit (not shown) that visually, tactilely, or aurally displays notification information, or transmits notification information to an external notification device (not shown). It can be implemented through The notification unit (not shown) may be implemented through the monitor 175 or the like.

Each of the plurality of raw data value sets may be a set of values of projection data obtained to be reconstructed into the CT image 300 . More specifically, it may be a set of imaging data values corresponding to each of at least a portion of a plurality of CT projection images generated through one-time CT imaging of at least a portion of the human body (the body of the examinee 400 ).

14 is a flowchart illustrating a method for generating a medical image according to an embodiment of the present invention.

In the method for generating a medical image in the medical image generating apparatus 100 according to an embodiment of the present invention, as described above, first medical image information including a plurality of imaged data values respectively corresponding to the plurality of pixels It may include the step of obtaining (S100).

According to an embodiment of the present invention, in the method of generating a medical image, calculating at least one first nth-order differential value among the plurality of imaged data values ( S250 ) and at least one of a part of the plurality of imaged data values The step (S260) of calculating the second nth derivative of any one of a representative value or a sum of a group of may be included.

By including both steps S250 and S260 as described above, it is possible to detect both the defective pixel in the point unit in which the imaged data value is severely distorted and the defective pixel in the group (line) unit in which the distortion does not occur severely. .

As described above, the representative value may be any one of an average value and a weighted average value. As described above, by taking the average, distortion occurring in units of points is canceled, and only distortion of imaged data values in units of groups (line) can be detected prominently.

The n may be a natural number of 1 or more.

Preferably, n may be 2.

According to an embodiment of the present disclosure, the method of generating a medical image includes determining a defective pixel among the pixels based on the calculated first nth differential value and the second nth differential value ( S350 ). can do.

In the step of obtaining the first medical image information ( S100 ), the plurality of imaged data values are obtained in the form of a two-dimensional array, and the at least one group is in one horizontal or vertical line of the two-dimensional array. It may be a set of corresponding imaging data values.

According to an embodiment of the present invention, in the method for generating a medical image, an imaged data value corresponding to the defective pixel is corrected by using an imaged data value corresponding to at least one pixel adjacent to the defective pixel among the plurality of pixels. The method may further include generating the second medical image information ( S400 ).

According to an embodiment of the present invention, the step of obtaining the first medical image information (S100) includes the step of obtaining a plurality of raw data value sets each including a plurality of raw data values classified for each pixel (S110). ); and generating (S120) the plurality of imaged data values based on an average value or a sum of those corresponding to one of the plurality of pixels among the plurality of raw data values.

In addition, the method for generating a medical image may include: generating or updating a defect map based on the determined defective pixel (S500); and correcting the original data value corresponding to the defective pixel based on the generated defect map (S600) for each of the plurality of raw data value sets.

15 is a flowchart illustrating a method for generating a medical image according to an embodiment of the present invention.

15 , in the method for generating a medical image according to an embodiment of the present invention, one of a plurality of raw data sets (captured data constituting one projection image) obtained in the form of a two-dimensional array of M by N size is performed. It may include a step (S1010) of checking whether a defect value (imaging data value corresponding to a combined pixel) exists (presence/absence) in the set of values ( S1010 ).

In addition. If the Defect value exists, overlapping the K raw data sets that are at least a part of the plurality of raw data sets to obtain a sum (K sums) of imaging data values corresponding to each pixel (S1020) further comprising can do.

In addition, the method may further include performing differentiation twice while proceeding in the horizontal direction (1 to N direction) with respect to the K-field sum ( S1030 ). In this case, a defect pixel may be found in units of points based on the second differential value ( S1040 ), and a defect map may be generated based on this ( S1110 ). The above two steps ( S1030 , S1040 ) may be repeatedly performed in the vertical direction ( 1 to M), respectively.

In addition, the method may further include calculating the sum of M lines (M lines) in the horizontal direction (1 to N direction) of the M by N two-dimensional array ( S1050 ). This sum means adding the corresponding imaging data values at the same position of each line, and may be formed in the form of a set (vector) having N elements.

In addition, the method may further include determining ( S1060 ) a defective pixel on a line-by-line basis based on the sum of the M lines. As described above, such defective pixels in units of lines may include a process of differentiating the sum of the lines (M) twice.

In addition, the method may further include performing differentiation twice while proceeding in the vertical direction (1 to M direction) with respect to the K-field sum ( S1070 ). In this case, a defect pixel may be found in units of points based on the second differential value (S1080), and a defect map may be generated based on this (S1110). The above two steps ( S1070 and S1080 ) may be repeatedly performed in the horizontal direction ( 1 to N), respectively.

In addition, the method may further include calculating the sum of N lines (N lines) in the vertical direction (1 to M directions) of the M by N two-dimensional array ( S1090 ). This sum means adding the corresponding imaging data values together at the same position of each line, and may be formed in the form of a set (vector) having M elements.

In addition, the method may further include determining ( S1100 ) a defective pixel on a line-by-line basis based on the sum of the N lines. As described above, the defective pixels in units of lines may include a process of differentiating the sum of the N lines twice.

In addition, when the determined number of defective pixels is equal to or greater than the reference value, the method may further include a step ( S1120 ) of notifying a request for replacement of the sensor.

In addition, the method may further include correcting defective pixels based on the defect map ( 1130 ).

The method may further include updating the defect map (S1150).

Meanwhile, a computer program for performing the above-described method for generating a medical image may be stored in a computer-readable recording medium.

That is, the method for generating a medical image according to various embodiments of the present invention described above may be implemented as a computer program and provided to a server or devices in a state stored in various computer-readable recording media.

The recording medium may be a non-transitory computer readable medium, and the non-transitory readable medium is not a medium that stores data for a short moment, such as a register, cache, memory, etc., but semi-permanently stores data, , means a medium that can be read by a device. Specifically, the various applications or programs described above may be provided by being stored in a non-transitory readable medium such as a CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM, and the like.

In addition, although preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and the technical field to which the present invention belongs without departing from the gist of the present invention as claimed in the claims In addition, various modifications are possible by those of ordinary skill in the art, and these modifications should not be individually understood from the technical spirit or perspective of the present invention.

10: X-ray imaging device 100: Medical image generating device
110: X-ray imaging unit 111: Generator
112: detector 113: gantry
114: axis of rotation 120: image information acquisition unit
140: control unit
150: driving unit 160: alignment unit
161: bib 163: bite block
170: X-ray image generator 175: monitor
180: head 185: support pillar
190: pedestal 195: handle
300: final X-ray image 400: examinee

Claims (21)

A method for generating medical image information including a plurality of pixels in a medical image generating apparatus, the method comprising:
obtaining first medical image information including a plurality of imaged data values respectively corresponding to the plurality of pixels;
calculating a difference value between at least one second differential value among the plurality of imaged data values and an imaged data value corresponding to one of adjacent pixels of a pixel corresponding to the at least one of the plurality of pixels; and
determining a defective pixel from among the pixels based on the calculated second differential value;
The determining step is
When the second differential value deviates from the range according to the first criterion, the difference value deviates from the range according to the second criterion, and the one of the adjacent pixels is a defective pixel, among the plurality of pixels, the plurality of imaging A method of generating a medical image, comprising determining a pixel corresponding to the at least one of the data values as a defective pixel.
The method of claim 1,
and generating second medical image information by correcting an imaged data value corresponding to the defective pixel by using an imaged data value corresponding to at least one pixel adjacent to the defective pixel among the plurality of pixels. How to create.
The method of claim 1,
The acquiring of the first medical image information comprises acquiring the plurality of imaged data values in the form of a two-dimensional array.
delete delete The method of claim 1,
The determining step is
When the second differential value deviates from the range according to the first criterion and the difference value does not deviate from the range according to the second criterion, and the one of the adjacent pixels is a defective pixel;
and determining, among the plurality of pixels, a pixel corresponding to the at least one of the plurality of imaged data values as a defective pixel.
7. The method of claim 6,
The determining step is
The second differential value does not deviate from the range according to the first criterion, and the secondary differential value of the imaged data value corresponding to each of two of the adjacent pixels is outside the range according to the first criterion, and the difference value is If it does not deviate from the range according to the second criterion,
and determining, among the plurality of pixels, a pixel corresponding to the at least one of the plurality of imaged data values as a defective pixel.
8. The method of claim 7,
The determining step is
The second differential value does not deviate from the range according to the first criterion, and at least one of the two adjacent pixels does not deviate from the range according to the first criterion
When the one of the adjacent pixels is a defective pixel and the difference value does not deviate from the range according to the second criterion,
and determining, among the plurality of pixels, a pixel corresponding to the at least one of the plurality of imaged data values as a defective pixel.
delete A method for generating medical image information including a plurality of pixels in a medical image generating apparatus, the method comprising:
obtaining first medical image information including a plurality of imaged data values respectively corresponding to the plurality of pixels;
calculating a second differential value of any one of representative values or sums of a plurality of groups composed of some of the plurality of imaged data values; and
determining a defective pixel among the pixels based on the calculated second differential value;
The acquiring of the first medical image information includes acquiring the plurality of imaged data values in the form of a two-dimensional array,
The plurality of groups are sets of imaging data values corresponding to one horizontal or vertical line of the two-dimensional array,
The representative value is any one of an average value and a weighted average value,
The calculating may include: a second derivative of each of the representative value or the sum, and a representative value of an imaging data value corresponding to one of adjacent groups of the first group corresponding to each of the representative value or the sum among the plurality of groups; calculating a difference value from the sum;
The determining may include: when the second derivative value is outside the range according to the first criterion and the difference value is outside the range according to the second criterion, and when the one of the adjacent groups is a defect group, the first group A method for generating a medical image, characterized in that determining the group as a defect.
The method of claim 1,
The method of generating a medical image, characterized in that it further comprises the step of generating or updating a defect map (map) based on the determined defective pixel.
12. The method of claim 11,
The step of obtaining the first medical image information includes:
obtaining a plurality of raw data value sets each including a plurality of raw data values classified for each pixel; and
and generating the plurality of imaged data values based on an average or sum of the plurality of raw data values corresponding to one of the plurality of pixels.
13. The method of claim 12,
and correcting the raw data value corresponding to the defective pixel for each of the plurality of raw data value sets based on the generated defect map.
14. The method of claim 13,
Each of the plurality of raw data value sets is a set of respective data values of at least a portion of a plurality of CT projection images generated through a single CT scan of at least a part of the human body.
A method for generating a medical image in a medical image generating apparatus for generating medical image information including a plurality of pixels, the method comprising:
obtaining first medical image information including a plurality of imaged data values respectively corresponding to the plurality of pixels;
calculating at least one first nth-order differential value among the plurality of imaged data values;
calculating a second nth-order differential value of any one of a representative value or a sum of at least one group composed of a part of the plurality of imaged data values; and
determining a defective pixel from among the pixels based on the calculated first n-th differential value and the second n-th differential value; and
Wherein n is a natural number equal to or greater than 1, the method of generating a medical image.
16. The method of claim 15,
The acquiring of the first medical image information includes acquiring the plurality of imaged data values in the form of a two-dimensional array,
The at least one group is a set of imaging data values corresponding to one horizontal or vertical line of the two-dimensional array.
17. The method of claim 16,
and generating second medical image information by correcting an imaged data value corresponding to the defective pixel by using an imaged data value corresponding to at least one pixel adjacent to the defective pixel among the plurality of pixels. How to create.
18. The method of claim 17,
The step of obtaining the first medical image information includes:
obtaining a plurality of raw data value sets each including a plurality of raw data values classified for each pixel; and
generating the plurality of imaged data values based on an average value or a sum of those corresponding to one of the plurality of pixels among the plurality of raw data values;
The method for generating a medical image comprises:
generating or updating a defect map based on the determined defective pixel; and
and correcting the raw data value corresponding to the defective pixel for each of the plurality of raw data value sets based on the generated defect map.
A medical image generating apparatus for generating medical image information including a plurality of pixels, the apparatus comprising:
an image information acquisition unit configured to acquire first medical image information including a plurality of imaged data values respectively corresponding to the plurality of pixels;
calculating a difference value between at least one secondary differential value among the plurality of imaged data values and an imaged data value corresponding to one of adjacent pixels of a pixel corresponding to the at least one of the plurality of pixels, A control unit for determining a defective pixel from among the pixels based on the second differential value,
The control unit may be configured to: When the second differential value deviates from the range according to the first criterion, the difference value deviates from the range according to the second criterion, and the one of the adjacent pixels is a defective pixel, among the plurality of pixels, and determining a pixel corresponding to at least one of the plurality of imaged data values as a defective pixel.
20. The method of claim 19,
and an image information generator configured to generate second medical image information by correcting an imaged data value corresponding to the defective pixel by using an imaged data value corresponding to at least one pixel adjacent to the defective pixel among the plurality of pixels. Medical image generating device.
21. The method of claim 19 or 20,
The apparatus for generating a medical image further comprising an X-ray imaging unit configured to generate the first medical image information by performing X-ray imaging of a subject.

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