JP2017213296A - Radiographic apparatus, radiographic system, radiographic method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To allow reduction of workload for a test to detect abnormal pixels.SOLUTION: There is provided a radiographic apparatus which includes a plurality of pixels to detect radiation information, the radiographic apparatus comprising: region determination means which sets a plurality of partial regions each including a plurality of above-mentioned pixels and determines, as a test region, a partial region whose pixels are to be tested among the plurality of partial regions; enabling-control means for enabling the pixels included in the test region; and check means for checking the outputs of the enabled pixels.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a radiation imaging apparatus, a radiation imaging system, a radiation imaging method, and a program, and more particularly to a radiation imaging apparatus, a radiation imaging system, a radiation imaging method, and a program for testing detection pixels for automatic exposure control.

  2. Description of the Related Art Detection devices that combine a conversion element that converts radiation into electric charges, a switching element such as a thin film transistor, a pixel array provided with wiring, and a scanning circuit or a readout circuit are widely used as a radiation two-dimensional detection device. In recent years, the incorporation of an automatic exposure control (AEC) function has been studied as one of multifunctional detection devices.

  This is because various types of radiation information (for example, irradiation start timing when radiation is irradiated from the radiation source, stop timing when radiation irradiation is stopped, instantaneous radiation dose, integrated dose, etc.) are acquired in the detection device. Is possible. In addition, the integrated irradiation amount can be monitored by this function, and when the integrated irradiation amount reaches an appropriate amount, the detection apparatus can control the radiation source and terminate the irradiation.

  Patent Document 1 discloses a technique for discriminating whether an error during an AEC test is an influence of AEC sensitivity or other influence. Japanese Patent Application Laid-Open No. 2004-228561 discloses a technique for suitably selecting and determining AEC pixels after dividing the AEC pixels into large blocks and small blocks.

  Non-Patent Document 1 provides guidelines on quality maintenance evaluation and daily test methods in the medical imaging department.

Japanese Patent No. 4875523 JP 2014-52191 A "JIS Handbook 2011 Radiation (Noh)", JIS Z 4752-3-1: 2004, Japanese Standards Association

  In a detection apparatus incorporating an AEC function, radiation is detected by freely switching between valid and invalid of automatic exposure control pixels (AEC pixels). In this case, when the acceptance test of the AEC function or the daily test is performed, it is necessary to perform a test with radiation irradiation on the minimum unit of the combination of AEC pixels, and depending on the number of AEC pixels, the test is performed. Such a workload is high.

  Further, when there are abnormal pixels in the AEC pixels, the workload for specifying which AEC pixel is abnormal is also high. Therefore, the present invention provides a radiation imaging apparatus that reduces the operation for detecting abnormal pixels.

  The present invention is a radiation imaging apparatus having a plurality of pixels for detecting radiation information, wherein a plurality of partial regions including the plurality of pixels are set, and a partial region in which a pixel test is performed among the plurality of partial regions Are determined as test areas, validation control means for validating the pixels included in the test area, and check means for checking the output of the validated pixels.

  According to the present invention, it is possible to confirm which pixel is abnormal when it is detected that there is an abnormal pixel during an acceptance test or a daily test. As a result, it is possible to reduce the work load on the test for detecting abnormal pixels.

It is the figure which showed an example of the cross section of a detection apparatus. It is the figure which showed an example of the equivalent circuit schematic of a detection apparatus. It is a block diagram which shows an example of a structure of a radiography system. It is a flowchart which shows an example of a process of the radiography apparatus which concerns on 1st Embodiment. It is a figure explaining dividing an object field into a partial field. It is a flowchart which shows an example of a process of the radiography apparatus which concerns on 1st Embodiment.

  The outline | summary of this invention is shown. 1A and 1B are schematic cross-sectional views of the entire detection device. The detection device is a radiation imaging device that tests a plurality of pixels (detection pixels) that detect radiation information of a target region.

  In FIG. 1A, the radiation source 1 emits X-rays 3 toward the subject 2. The detection device 4 has a plurality of conversion elements 12 arranged in a two-dimensional matrix on the substrate 100. A scintillator 190 is arranged to face the detection device 4, and the scintillator 190 emits visible light having different intensities according to the intensity of X-rays. By photoelectric conversion, different amounts of signals are accumulated in each conversion element according to the light intensity at each point. An X-ray image is formed by reading this out by a method described later.

  FIG. 2 is a schematic equivalent circuit diagram of the detection device 4. In the imaging region 90, the normal pixels 11 and the detection pixels 111 are arranged in a two-dimensional matrix. Hereinafter, the normal pixel and the detection pixel are collectively referred to as a pixel.

  The detection device 4 has about 1000 × 1000 to 3000 × 3000 pixels. However, as shown in FIG. 2A, the detection device 4 has 12 × 12 pixels for simplicity. Then. The normal pixels 11 are arranged over the entire imaging region 90 in order to form a two-dimensional image used for diagnosis. As shown in FIG. 2B, the normal pixel 11 includes a conversion element 12 and a switch element 13.

  The conversion element 12 is connected to a bias power supply 50 by a bias wiring 19 and a voltage for the conversion element 12 to perform a photoelectric conversion operation is applied. A plurality of signal lines 16 are arranged in the column direction and are commonly connected to the source electrodes of the switch elements of the plurality of pixels. A plurality of control wirings 15 are arranged in the row direction and are commonly connected to the gate electrodes of the switch elements of the plurality of pixels. The control wiring 15 is connected to the scanning circuit 20, and the signal wiring 16 is connected to the readout circuit 30.

  When the switch element 13 becomes conductive, the signal of the pixel conversion element 12 is read out by the readout circuit 30 through the signal wiring 16. The detection pixel 111 is provided to acquire irradiation information (radiation irradiation start information, irradiation end information, instantaneous irradiation amount, integrated irradiation amount, and the like). In the present embodiment, nine detection pixels 111 are included in 12 × 12 pixels.

  As shown in FIG. 2C, the detection pixel 111 includes a conversion element 121 and a switch element 131. The conversion element 121 is connected to the bias power supply 50 by the bias wiring 19 and is applied with a voltage for performing a photoelectric conversion operation. The detection wiring 161 is commonly connected to the source electrode of the switch element 131 of the detection pixel 111. In the present embodiment, three detection pixels 111 are connected to one detection wiring 161 at a time.

  Instead of the control wiring 15, a detection pixel control wiring 411 is commonly connected to the gate electrode of the switch element of the detection pixel. The scanning circuit 20, the readout circuit 30, the detection pixel scanning circuit 41, and the detection pixel readout circuit 40 are connected to a control unit 49. The control unit 49 controls these circuits to perform various operations. By driving the detection pixel control wiring 411 one by one in a state where a predetermined voltage is applied to the bias wiring 19, the signal of the detection pixel 111 is read to the detection wiring 161.

  A plurality of detection pixel control wirings 411 connected to each detection wiring 161 are not electrically connected to each other. Thereby, a plurality of detection pixels 111 connected to one detection wiring 161 can be individually driven, and a detection signal can be read by a free combination of the detection pixels 111.

  The control unit 49 temporarily holds irradiation information from the readout circuit 40 for the detection pixels, and performs various calculations using the irradiation information and various determinations based on the irradiation information. For example, the control unit 49 determines the irradiation start timing at which the radiation 3 is irradiated from the radiation source 1, the stop timing at which the irradiation of the radiation 3 is stopped, the determination of the instantaneous radiation dose, and the cumulative radiation irradiation. The amount can be judged.

  Further, the control unit 49 is electrically connected to the radiation source 1 in a wired or wireless manner, receives a start / stop signal of the radiation source 1, and controls the start or stop of radiation irradiation with respect to the radiation source 1 as will be described later. You may be able to do it. In FIG. 2, the readout circuit 30 and the readout circuit 40 for detection pixels are shown as separate circuits, but they may be formed integrally.

(First embodiment)
A first embodiment of the present invention will be described. In the present embodiment, means for detecting abnormal pixels in the acceptance test and daily test of the detection device 4 will be described with reference to FIGS. 3 and 4. FIG. 3 is a block diagram illustrating an example of a configuration of a radiation imaging system including the radiation imaging apparatus according to the present embodiment. FIG. 4 is a flowchart illustrating an example of processing of the radiation imaging apparatus according to the present embodiment.

  The description of the parts common to the above is omitted. The radiation imaging apparatus has a plurality of pixels that detect radiation information. The radiation imaging apparatus tests a plurality of pixels (detection pixels) that detect radiation information of the target region. In the present embodiment, the pixel (detection pixel) is an automatic exposure control pixel (AEC pixel).

  The radiation imaging apparatus includes a test start instruction unit 301, an area determination unit 302, an activation control unit 303, an output unit 304, an X-ray generation unit (radiation generation unit) 305, a data collection unit 306, a check unit 307, and a pixel management unit. 308. The region determination unit 302 sets a plurality of partial regions including a plurality of pixels, and determines a partial region in which the pixel test is performed among the plurality of partial regions as a test region. The validation control unit 303 validates the pixels included in the test area. The check unit 307 checks the output of the validated pixel.

  In step S401, the test start instruction unit 301 instructs the start of a test (abnormal pixel detection test) for detecting abnormal pixels. For example, the start of the abnormal pixel detection test may be instructed by selecting a button or the like for starting the abnormal pixel detection test, or the detection device 4 is calibrated to perform the abnormal pixel detection test. A start may be indicated. In addition, when an abnormality is detected in an image during normal shooting, the start of an abnormal pixel detection test may be instructed. When the start of the abnormal pixel detection test is instructed, the abnormal pixel detection flow is started.

  In step S402, the control unit 49 controls the detection pixel operation circuit 41 and the detection pixel readout circuit 40 so that all the AEC pixels (detection pixels) are valid. The area determination unit 302 determines all the AEC pixels as test areas, and the validation control unit 303 validates all the AEC pixels.

  In step S403, the X-ray generation apparatus (radiation generation unit) 305 irradiates radiation to the activated AEC pixel. The radiation 3 emitted from the radiation source 1 is applied to the detection region 90. Since the detection pixel 111 is also irradiated with the radiation 3, the AEC pixel operates effectively. At this time, there is some abnormality in the AEC pixel, and the automatic exposure control signal may be output earlier than normally assumed. If the automatic exposure control signal is output early as described above, the radiation source 1 stops the irradiation of the radiation 3.

  In this case, the radiographic image based on the data detected by the detection device 4 is imaged with a radiation dose smaller than expected, and a desired image may not be obtained. Therefore, it is necessary to identify an AEC pixel that outputs an automatic exposure control signal earlier than expected as an abnormal pixel and take measures.

  In step S404, the image output value is checked. The check unit 307 checks the output of the AEC pixel by comparing the image pixel data with a predetermined expected value. Here, according to Non-Patent Document 1, after the development of the film for photographing, the optical density of the portion designated by the film for photographing with the densitometer does not meet the user's expectation. Don't be. It is confirmed whether the image data captured by the normal pixel 11 is a value (expected value) that meets the user's expectation.

  However, it can be verified by the value of the image data without developing the film. As specified in CPI (Consistent Presentation of Image) of the Technical Framework of IHE (Integrating the Healthcare Enterprise), consistency of image data and display is maintained.

  For example, in an image obtained as a result of automatic exposure control, an expected value is set such that the pixel value is between 2000 and 3000 in radiography using a phantom simulating a specified body pressure as a subject. Can do. Accordingly, if the result of determining the image output value in step S404 is as expected, it is determined that there is no abnormal pixel, and this processing flow ends. If the result of determining the image output value is different from the expected value, the process flow of step S4 is performed.

  Step S4 is started by the area determining unit 302 and represents being called recursively in this processing flow. When this process is started, the process of step S405 is performed.

  In step S405, a partial region of the target photographing region 90 is designated and processing is performed. When this flow is called for the first time, the area determination unit 302 generally sets the entire imaging area 90 as a target area.

  In this step, the region determination unit 302 determines whether or not the target region can be divided into partial regions. For example, nine AEC pixels exist in 12 pixels × 12 pixels in the imaging region 90 of FIG. 2, and 12 pixels × 12 pixels are divided into 6 pixels (columns) × 12 pixels (rows) region and 6 pixels (columns) × 12 pixels ( It is possible to divide the image into two areas, such as the area of (row). When the left and right are divided into two, six AEC pixels are divided in the left area and three in the right area.

  FIG. 5 is a diagram for explaining the division of the imaging region 90 into partial regions. The shooting area 90 is represented by a shooting area 601, and the AEC pixel is represented by a pixel 602. An imaging region 601 of 12 pixels × 12 pixels can be divided into left and right with a center line 603 as a boundary. The division into two left and right is an example, and the region dividing method can be freely divided by a known technique. In the present embodiment, as shown in FIG. 5, the imaging region 601 is divided into four partial regions 604, 605, 606, and 607.

  However, when dividing, it is important to divide the area including the AEC pixel 602. Even if the area without the AEC pixel 602 is divided, there is no meaning in this case. Therefore, the area determination unit 302 determines whether or not the area determination unit 302 can be divided into minimum units including the AEC pixel 602.

  In some cases, each AEC pixel cannot operate independently, but operates in a group. Depending on the manufacturing method of the control wiring 15 and the control unit 49, the data can be read for each line, but the data may not be read for each pixel. In this case, the region determination unit 302 recognizes a combination of AEC pixels 602 included in each line as one group. The area determination unit 302 determines whether the area can be divided in a form including the group.

  For example, when the known quadtree division is performed, the shooting area 601 is divided into four partial areas 604, 605, 606, and 607. The partial area 604 includes two AEC pixels 602, the partial area 605 includes one AEC pixel 602, and the partial area 606 includes four AEC pixels 602.

  Furthermore, when the partial area 606 is divided into quadtrees, it is divided into partial areas 608, 609, 610, and 611. Each partial region 608, 609, 610, 611 includes one AEC pixel 602. If these AEC pixels can be operated individually, the partial areas 608, 609, 610, and 611 are the minimum units.

  If it is determined in step S410 described later that the image output value is different from the expected value, step S4 is recursively called. By repeatedly dividing into partial areas and checking AEC pixels, the area determination unit 302 divides the target area or the test area into partial areas (minimum units) including AEC pixels that operate independently.

  If it is determined in step S404 or step S410, which will be described later, that the image output value is different from the expected value, and if it cannot be divided into partial areas (minimum units) in step S405, the process proceeds to step S407. In step S407, since the operation by the AEC pixel included in the target area is defective, the AEC pixel included in the target area is determined to be defective.

  If it is determined in step S404 or step S410 described later that the image output value is different from the expected value, and if it can be divided into partial areas in step S405, the process proceeds to step S406. In step S406, the region determination unit 302 divides the target region into partial regions including AEC pixels. In this embodiment, since it is determined in step S405 that the AEC pixel 602 can be divided into minimum units that can be driven, the target area is divided into partial areas.

  In step S <b> 408, the region determination unit 302 determines a partial region to be tested among a plurality of partial regions as a test region. In addition, the validation control unit 303 validates AEC pixels (detection pixels) included in the test area. The validation control unit 303 controls the control unit 49 to validate the AEC pixel in the partial area set in step S406.

  In step S409, the radiation 3 is irradiated to the activated AEC pixel. The irradiation of the radiation 3 is the same as that in step S403, but in step S408, the irradiation is performed with the AEC pixels being limited. When the output value of the AEC pixel exceeds a predetermined value, the output unit 304 outputs an automatic exposure control signal (AEC signal) of the AEC pixel by automatic exposure control detection (AEC detection). An AEC signal is output from the output unit 304 to the X-ray generator 305.

  In step S410, the check unit 307 checks the output of the validated AEC pixel. The data collection unit 306 collects image pixel data based on the AEC signal, and the check unit 307 checks the value of the image pixel data collected by the data collection unit 306. The check is the same as in step S404. The check unit 307 checks the output of the pixel by comparing the image pixel data with a predetermined expected value.

  If the result of the image check is different from the expected value, the checked partial area is set as the target area, the process returns to step S406, and the flow of step S4 is recursively performed. That is, the area determination unit 302 further divides the test area into partial areas including AEC pixels according to the check result, and determines a partial area to be tested as a test area from among the plurality of divided partial areas. To do. In this case, the region determination unit 302 divides the target region or the test region into partial regions including AEC pixels that operate independently.

  If the result of the image check is the result as expected, the process proceeds to step S411 to determine the next partial area test. The result of the test is recorded and managed by the pixel management unit 308. The pixel management unit 308 records the check result together with the check time information.

  In step S411, it is determined whether there is an unexecuted region in a partial region other than the region in which the flow from step S408 to step S410 is performed in the partial region divided in step S406. If there is an unexecuted partial area, the processing from step S408 is performed on the partial area.

  The region determination unit 302 determines a partial region that has not been tested among the partial regions as a test region. The next test area determination method may be a known technique, for example, a known Morton order. When the Morton order is used in FIG. 5, the target area of the area 606 is selected in the order of the partial areas 608, 609, 610, and 611.

  By performing the flow as described above, it is possible to detect one or a plurality of abnormal pixels.

(Second Embodiment)
Hereinafter, a second embodiment of the present invention will be described. Descriptions of parts common to the first embodiment are omitted. In the detection apparatus 4 described in the first embodiment, an embodiment in which a daily test of AEC pixels is performed will be described with reference to a flowchart of FIG.

  In step S501, a daily test start instruction is issued. For example, the processing is started by pressing a start button on the operation screen of the photographing apparatus. Further, the test start instruction unit 301 may instruct the start of a daily test (abnormal pixel detection test).

  In step S502, the AEC pixel of the last test date is checked from the history information of the daily test. The daily test is managed by storing the execution history in a database or the like by storing the AEC pixel and the test date. The pixel management unit 308 may manage a history of check results.

  For example, when the detection device 4 is newly purchased, the final test dates are all the same day. Thereafter, when the test is performed, the last test date is updated. History information of all AEC pixels of the detection device 4 is held. Further, daily tests may be performed and history management may be performed for each minimum unit of combinations of electrically driveable AEC pixels.

  Step S5 represents being called recursively in this processing flow. When this process is started, the process of step S503 is performed. Usually, when processing first, the whole surface of the detection apparatus 4 is started as a target area.

  In step S503, it is determined whether or not there are a plurality of pixels having the oldest final test date in the target area. Usually, when processing is performed first, the entire surface of the detection device 4 is the target region, and therefore, the number of pixels with the oldest final test date among all the AEC pixels is checked.

  When there are not a plurality of the oldest pixels, that is, when there is one, step S504 is executed, and one AEC pixel is determined as a test pixel. When the pixel to be tested (test pixel) is determined, the process flow of step S5 ends. If the number of AEC pixels is 0, the process ends. As described above, the region determination unit 302 determines whether or not the target region includes a predetermined number of AEC pixels.

  If it is determined in step S503 that there are a plurality of the oldest pixels, step S505 is executed to specify a pixel (or test area) to be tested from among them. The area determination unit 302 determines a test area based on the history. As will be described later, in this embodiment, the region determination unit 302 determines a partial region having the largest number of pixels with the oldest test final time as a test region. Here, the test date may be used as the test final time instead of the test time.

  In step S505, it is confirmed whether or not there is an AEC pixel within a predetermined range from the center of the target region. This is because when there are a plurality of AEC pixels having the same final test date, the central portion of the target region is preferentially tested. In the present embodiment, the AEC pixel at the center of the target area is preferentially tested. However, if the AEC pixel at the center is not preferentially tested, this processing step may be skipped.

  If there is an AEC pixel within a predetermined range from the center of the target area, step S506 is executed. Note that the center of the target area and the AEC pixel do not need to be completely mathematically matched, and an error of about several pixels from the center of the target area may be allowed.

  In step S506, an AEC pixel within a predetermined range from the center of the target region is set as a test pixel (test region), and the processing flow of step S5 ends.

  In step S507, as in the first embodiment, a process of dividing into partial areas is performed. In step S508, as a result of the division into partial areas in step S507, the partial area having the largest number of AEC pixels with the oldest final test date is set as the test area. In this manner, the region determination unit 302 divides the target region into partial regions including AEC pixels, and determines a partial region to be tested among a plurality of partial regions as a test region.

  The region determination unit 302 determines a partial region having the largest number of pixels with the oldest test final time as a test region. For example, as shown in FIG. 5, it is assumed that all the AEC pixels have the same final test date in the case of division into partial regions 604, 605, 606, and 607. In this case, since the partial area 606 includes four AEC pixels and the number of AEC pixels is the largest, the partial area 606 is determined as the test area. The flow of step S5 is recursively executed with the partial area 606 as the target area.

  Step S5 is recursively called, and the division into partial areas is repeated to identify the test pixel. For example, by recursively repeating step S503, the region determination unit 302 divides the target region or the test region into partial regions including a predetermined number of AEC pixels. Further, by recursively repeating step S505, the region determining unit 302 divides the target region or the test region until an AEC pixel exists within a predetermined range from the center of the partial region.

  A test pixel is specified by recursively executing the flow of step S5. In step S509, in order to validate the specified test pixel, the detection pixel scanning circuit 41 and the detection pixel readout circuit 40 operate under the control of the control unit 49, and the radiation source 1 emits the radiation 3. To do. The validation control unit 303 validates AEC pixels (detection pixels) included in the test area. The X-ray generator (radiation generator) 305 irradiates the AEC pixels that are activated.

  In step S510, as in the first embodiment, the validity of the AEC image is determined and recorded in the test history. The check unit 307 checks the output of the AEC pixel by comparing the image pixel data with a predetermined expected value. The pixel management unit 308 records the check result together with the check time information.

  In step S511, it is determined whether to continue the daily test for other AEC pixels. If the process is to be continued, step S502 is executed using the latest daily test history updated in step S510. The continuation determination may be determined according to a user instruction, or may be determined based on whether or not a predetermined fixed number has been reached.

  By carrying out the flow as described above, it is possible to carry out a daily test for detecting one or a plurality of abnormal pixels according to the priority for each partial region.

  In addition, this invention is not limited to these embodiment, It can change and change within the range described in the claim.

  The present invention supplies software (programs) for realizing the functions of the above-described embodiments to a system or apparatus via a network or various storage media, and a computer (CPU, MPU, etc.) of the system or apparatus reads the program. May be executed. The present invention can also be realized by a process in which one or more processors in a computer of a system or apparatus read and execute a program, and can also be realized by a circuit (for example, an ASIC) that realizes one or more functions.

DESCRIPTION OF SYMBOLS 1 Radiation source 4 Detection apparatus 11 Normal pixel 111 Detection pixel 301 Test start instruction part 302 Area | region determination part 303 Activation control part 304 Output part 305 X-ray generator (radiation generation part)
306 Data collection unit 307 Check unit 308 Pixel management unit

Claims (13)

A radiation imaging apparatus having a plurality of pixels for detecting radiation information,
A plurality of partial regions including the plurality of pixels, and region determining means for determining, as a test region, a partial region in which the pixel test is performed among the plurality of partial regions;
Validation control means for validating the pixels included in the test area;
Checking means for checking the output of the activated pixels;
A radiation imaging apparatus comprising:   The area determining means further divides the test area into partial areas including the pixels according to the check result, and further selects a partial area for performing the test among the plurality of the divided partial areas as a test area. The radiation imaging apparatus according to claim 1, wherein the radiation imaging apparatus is determined as:   The radiation imaging apparatus according to claim 1, wherein the area determination unit determines the partial area of the partial area where the test has not been performed as the test area.   4. The radiographic apparatus according to claim 1, wherein the area determination unit divides the target area or the test area into partial areas including the pixels that operate independently. 5. . The pixel is an AEC pixel,
Output means for outputting an AEC signal of the pixel by AEC detection;
Data collecting means for collecting image pixel data based on the AEC signal,
The radiographic apparatus according to claim 1, wherein the check unit checks the output of the pixel by comparing the image pixel data with a predetermined expected value.   The radiation imaging apparatus according to claim 1, further comprising: a pixel management unit that records a result of the check together with time information of the check. The pixel management unit for managing the history of the check results,
The radiation imaging apparatus according to claim 1, wherein the region determination unit determines the test region based on the history.   The radiographic imaging according to any one of claims 1 to 7, wherein the area determination unit determines the partial area having the largest number of the pixels with the oldest test final time as the test area. apparatus.   The radiation imaging apparatus according to claim 8, wherein the area determination unit divides the target area or the test area into partial areas including a predetermined number of the pixels.   9. The radiographic apparatus according to claim 8, wherein the area determination unit divides the target area or the test area until the pixel exists within a predetermined range from the center of the partial area. A radiography system that tests a plurality of pixels that detect radiation information of a target region,
A region determination unit that divides the target region into partial regions including the pixels, and determines a partial region in which the test is performed among a plurality of partial regions as a test region;
Validation control means for validating the pixels included in the test area;
Radiation generating means for irradiating the activated pixels with radiation;
Checking means for checking the output of the activated pixels;
A radiation imaging system comprising: A radiography method for testing a plurality of pixels for detecting radiation information of a target region,
Dividing the target region into partial regions including the pixels, and determining a partial region for performing the test as a test region among a plurality of partial regions;
Enabling the pixels included in the test area;
Checking the output of the enabled pixel;
A radiation imaging method comprising:   The program for functioning a computer as each means of the radiography apparatus of any one of Claims 1 thru | or 10.