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WO2018198206A1 - Dispositif d'imagerie à rayons x - Google Patents

Dispositif d'imagerie à rayons x Download PDF

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Publication number
WO2018198206A1
WO2018198206A1 PCT/JP2017/016413 JP2017016413W WO2018198206A1 WO 2018198206 A1 WO2018198206 A1 WO 2018198206A1 JP 2017016413 W JP2017016413 W JP 2017016413W WO 2018198206 A1 WO2018198206 A1 WO 2018198206A1
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WO
WIPO (PCT)
Prior art keywords
subject
ray imaging
user
imaging apparatus
unit
Prior art date
Application number
PCT/JP2017/016413
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English (en)
Japanese (ja)
Inventor
知宏 中矢
大介 能登原
Original Assignee
株式会社島津製作所
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 株式会社島津製作所 filed Critical 株式会社島津製作所
Priority to KR1020197029594A priority Critical patent/KR102321820B1/ko
Priority to JP2019514928A priority patent/JP6711457B2/ja
Priority to PCT/JP2017/016413 priority patent/WO2018198206A1/fr
Priority to CN201780090062.8A priority patent/CN110545729B/zh
Publication of WO2018198206A1 publication Critical patent/WO2018198206A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
    • A61B6/5217—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data extracting a diagnostic or physiological parameter from medical diagnostic data
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/46—Arrangements for interfacing with the operator or the patient
    • A61B6/467—Arrangements for interfacing with the operator or the patient characterised by special input means
    • A61B6/469—Arrangements for interfacing with the operator or the patient characterised by special input means for selecting a region of interest [ROI]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/505—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of bone
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5205—Devices using data or image processing specially adapted for radiation diagnosis involving processing of raw data to produce diagnostic data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10116—X-ray image

Definitions

  • the present invention relates to an X-ray imaging apparatus, and more particularly to an X-ray imaging apparatus that extracts a predetermined region in an image of a subject.
  • an X-ray imaging apparatus that extracts a predetermined region in a subject image is known.
  • Such an X-ray imaging apparatus is disclosed in, for example, International Publication No. 2015/025387.
  • a bone density measuring device or the like has automatically extracted a region of a vertebral body of a subject from a captured subject image.
  • the area of each vertebral body is automatically extracted by detecting a boundary line between adjacent vertebral bodies.
  • the boundary line between vertebral bodies is detected based on the low pixel value between vertebrae in the image of the subject.
  • the intervertebral space may not be detected, for example, when the intervertebral space is collapsed.
  • image processing configured to detect a pedicle region having a pixel value higher than that of the periphery in a captured subject image.
  • a method is disclosed.
  • the pedicle is a portion that is almost always found in the upper part of the vertebral body, and the pixel value tends to be higher than the surrounding pixel values. Therefore, this image processing method is configured to detect the pedicle region and to set the boundary line in contact with the cervical vertebra side of the detected pedicle region as the boundary line between the vertebral bodies.
  • a method of detecting the boundary line between the vertebral bodies is used during the general range of vertebral body length (restricted range). May be.
  • several candidates that are considered to be boundaries between vertebral bodies are detected from the captured image of the subject.
  • a candidate corresponding to the range of the restriction range is set as a boundary line between vertebral bodies.
  • the length of the vertebral body may be different from the length of a general vertebral body.
  • the boundary line between the vertebral bodies is detected based on the above-described limit range, the actual boundary line between the vertebral bodies and the detected boundary line between the vertebral bodies are greatly shifted.
  • the user manually corrects the boundary line (predetermined region) between the vertebral bodies while viewing the image of the vertebral body and the boundary line displayed on the display unit. For this reason, there exists a problem that the working time resulting from a user's work burden and a user's manual work increases. When the user's work time increases, for example, the time required for the examination in the bone density examination (the time required for the predetermined work time) becomes longer.
  • the present invention has been made in order to solve the above-described problems, and one object of the present invention is to provide a user's work load and a user's manual correction for correcting a predetermined area of the extracted subject.
  • An object of the present invention is to provide an X-ray imaging apparatus capable of suppressing an increase in time of a predetermined entire work due to the work.
  • an X-ray imaging apparatus includes an X-ray irradiation unit that irradiates a subject with X-rays, and an X-ray that detects the X-rays irradiated to the subject from the X-ray irradiation unit.
  • An image of the subject is acquired based on the X-ray detected by the line detection unit and the X-ray detection unit, and within a limited range of the length of a plurality of predetermined regions of the subject based on the acquired image
  • the boundary between the image processing unit that extracts each of the plurality of predetermined regions and the predetermined region adjacent to the subject extracted by the image processing unit is corrected by the user, the correction result of the boundary by the user is obtained.
  • a control unit that reflects the limit range.
  • the correction of the boundary by the user is performed. Since the result is reflected in the limit range, the size of the limit range can be made appropriate for the subject each time the number of corrections by the user is repeated. As a result, it is possible to reduce the case where correction by the user is necessary, so that the user's work load for correcting the predetermined area of the extracted subject and the total time of the predetermined work caused by the user's manual correction work are reduced. Can be suppressed.
  • control unit preferably calculates an average value and a standard deviation of a predetermined area length of the plurality of subjects after being corrected by the user, and calculates the calculated average. It is configured to reflect the value and standard deviation in the limit range. With this configuration, the calculated average value and standard deviation are automatically reflected in the limit range, so that the size of the limit range can be optimized for more subjects. As a result, the opportunity for correction by the user can be reduced more effectively.
  • control unit is configured to calculate an average value and a standard deviation for each age group and sex of the subject.
  • the size of the body part may be different from each other. Therefore, by calculating an average value and standard deviation for each age group and sex of a subject, it is possible to extract a predetermined region based on an appropriate limit range for each subject.
  • the age group and sex of the subject tend to be biased depending on the type of facility where the X-ray imaging apparatus is installed. Therefore, by calculating an average value and a standard deviation for each age group and sex of a subject, it is possible to extract a predetermined region based on a more appropriate restriction range for each subject (for each facility).
  • the control unit is configured to calculate the average value and the standard deviation for each of a plurality of predetermined regions of the subject.
  • the sizes may differ from each other depending on a predetermined region (internal part) of the subject. Therefore, by calculating an average value and a standard deviation for each of a plurality of predetermined areas of the subject, extraction of the predetermined area is performed based on an appropriate limit range for each part of the body corresponding to the plurality of predetermined areas of the subject. It can be carried out.
  • the apparatus further includes a storage unit that accumulates data of the lengths of the plurality of predetermined regions of the subject after being corrected by the user, and the control unit stores the plurality of predetermined regions stored in the storage unit. Based on the length data, a limit range table representing an average value and a standard deviation for each of a plurality of predetermined areas is created. With this configuration, the limit range can be determined by referring to the limit range table. As a result, each time the limit range is determined, the control burden on the control unit can be reduced as compared with the case where the limit range is calculated from the data stored in the storage unit.
  • the control unit is configured to update the limit range table based on the addition of data to the storage unit. If comprised in this way, the correction result by a user can be automatically reflected in the average value and standard deviation of a restriction
  • the image processing unit limits the length of a plurality of predetermined regions corresponding to each of the plurality of vertebral bodies of the subject based on the acquired image.
  • a boundary line is acquired between predetermined regions adjacent to the extracted subject, and the control unit corrects the position of the boundary line acquired by the image processing unit by the user.
  • the vertebral body may vary in size depending on age and gender, so that the length between adjacent borders after being corrected by the user is reflected in the restricted range for vertebral body extraction. Is particularly effective in that it suppresses an increase in the time of the entire predetermined work caused by the user's work load and the user's manual correction work.
  • FIGS. 1-10 A configuration of an X-ray imaging apparatus 100 according to an embodiment will be described with reference to FIGS.
  • the X-ray imaging apparatus 100 includes an X-ray irradiation unit 1, an X-ray detection unit 2, an image processing unit 3, a control unit 4, and a storage unit 5.
  • the X-ray irradiation unit 1 irradiates the subject T with X-rays.
  • the X-ray detection unit 2 detects X-rays irradiated from the X-ray irradiation unit 1 onto the subject T.
  • the X-ray imaging apparatus 100 is used for measuring the bone density of the subject T, for example. In the measurement of bone density, for example, DEXA (Dual-Energy X) that distinguishes bone components from other tissues by irradiating the measurement site of the subject T with X-rays of two types of energy from the X-ray irradiation unit 1. -Ray Absorptometry) method is used.
  • the X-ray irradiation unit 1 includes an X-ray source 1a.
  • the X-ray source 1a is an X-ray tube that is connected to a high voltage generator (not shown) and generates X-rays when a high voltage is applied.
  • the X-ray source 1 a is arranged with the X-ray emission direction facing the detection surface of the X-ray detection unit 2.
  • the X-ray detection unit 2 detects the X-rays irradiated from the X-ray irradiation unit 1 and transmitted through the subject T, and outputs a detection signal corresponding to the detected X-ray intensity.
  • the X-ray detection unit 2 is configured by, for example, an FPD (Flat Panel Detector).
  • the image processing unit 3 includes an image acquisition unit 30, a region extraction unit 31, a boundary line acquisition unit 32, an inter-border line measurement unit 33, and a bone density measurement unit 34.
  • Each of the image acquisition unit 30, the region extraction unit 31, the boundary line acquisition unit 32, the boundary line measurement unit 33, and the bone density measurement unit 34 is a functional block as software in the image processing unit 3. . That is, each of the image acquisition unit 30, the region extraction unit 31, the boundary line acquisition unit 32, the boundary line measurement unit 33, and the bone density measurement unit 34 is configured to function based on a command signal from the control unit 4. ing.
  • the image acquisition unit 30 of the image processing unit 3 acquires the image 3a (see FIG. 2) of the subject T based on the X-rays detected by the X-ray detection unit 2. Specifically, the image acquisition unit 30 acquires the image 3 a based on an X-ray detection signal with a predetermined resolution output from the X-ray detection unit 2.
  • control unit 4 is configured to perform control to display the image 3a (see FIG. 2) generated by the image processing unit 3 on the display unit 6.
  • the display unit 6 is a monitor such as a liquid crystal display, for example.
  • each of the plurality of regions R1 to R4 is extracted within a limited range L1 to L4 regarding the length of the regions R1 to R4.
  • the plurality of regions R1 to R4 are regions corresponding to the plurality of vertebral bodies V1 to V4 of the subject T, respectively.
  • Each of the plurality of vertebral bodies V1 to V4 of the subject T measures the bone density in the plurality of regions R1 to R4 by the bone density measuring unit 34 (see FIG. 1).
  • Each of the regions R1 to R4 is an example of a “predetermined region” in the claims.
  • the boundary line acquisition unit 32 acquires the boundary line B between the adjacent regions R1 to R4 of the extracted subject T.
  • the user can move the boundary line B acquired on the image 3a by operating the input unit 7 (see FIG. 1).
  • the control unit 4 (see FIG. 1) is a region adjacent to the subject T extracted by the image processing unit 3 (region extraction unit 31) (see FIG. 1).
  • the correction result of the boundary line B by the user is reflected in the restriction ranges L1 to L4.
  • the control unit 4 reflects the lengths L5 to L8 between the adjacent boundary lines B after being corrected by the user in the limited ranges L1 to L4.
  • control unit 4 calculates the average value and the standard deviation of the lengths L5 to L8 of the regions R1 to R4 of the plurality of subjects T (see FIG. 1) after being corrected by the user, and the calculation is performed.
  • the average value and the standard deviation are reflected in the limit ranges L1 to L4.
  • the reflection in the restriction ranges L1 to L4 will be described in more detail below.
  • the boundary lines B acquired by the boundary line acquisition unit 32 is not acquired on the intervertebral space (between adjacent vertebral bodies).
  • the user manually moves all of the boundary lines B on the image 3a onto the intervertebral space by operating the input unit 7 (see FIG. 1).
  • the lengths L5 to L8 between the boundary lines B are measured by the inter-boundary line measuring unit 33 (see FIG. 1).
  • the length between the boundary lines B is not measured by the inter-boundary line measurement unit 33. .
  • the storage unit 5 stores the length L5 of the plurality of regions R1 to R4 (see FIG. 3) of the subject T (see FIG. 1) after being corrected by the user. Data of .about.L8 (see FIG. 3) are accumulated. For example, when the user corrects 100 subjects T, the storage unit 5 stores data of lengths L5 to L8 for 100 people. In this case, the lengths L5 to L8 are stored in the storage unit 5 in association with the age and sex of the subject T.
  • control unit 4 calculates an average value and a standard deviation for each of the plurality of regions R1 to R4. That is, the control unit 4 calculates an average value and a standard deviation for each of the lengths L5 to L8 based on the data of the lengths L5 to L8 accumulated in the storage unit 5.
  • the control unit 4 has lengths L5 to L5 of a plurality of regions R1 to R4 (see FIG. 3) accumulated in the storage unit 5 (see FIG. 1).
  • a limit range table 5a representing the average value and standard deviation (SD) of each of the plurality of regions R1 to R4 (lengths L5 to L8) is created.
  • SD standard deviation
  • control unit 4 updates the limit range table 5a based on the addition of the data to the storage unit 5. That is, the control unit 4 updates the average value and the standard deviation of the limit range table 5a every time one piece of the data is added to the storage unit 5.
  • the control unit 4 calculates an average value and a standard deviation for each age group and sex of the subject T (see FIG. 1).
  • an average value and a standard deviation are represented for each predetermined age range (5 years in the present embodiment) and sex.
  • the restriction range table 5a may have a difference in the age range of the age group depending on the age.
  • the age range may be 10 years in an age group having a relatively low age, and the age range may be 5 years in an age group having a relatively high age.
  • the region extraction unit 31 (see FIG. 1) is configured to determine the restriction ranges L1 to L4 based on the restriction range table 5a. For example, the measurement of a subject T who is male and age 28 will be described in detail below.
  • the restriction range table 5a the average value and standard deviation of the male length L5 in the age group of 25 to 30 years including 28 years are 30 mm (average value) ⁇ 5 mm (standard deviation). In this case, it is determined that 30 mm included in 30 mm ⁇ 5 mm is the most appropriate length of the region R1, and the limit range L1 is determined to be 30 mm.
  • each of the limit ranges L2 to L4 is determined based on the average value and standard deviation of the lengths L6 to L8 of the limit range table 5a, similarly to the limit range L1.
  • the positions of the regions R1 to R4 for example, the position of the region R3 is determined based on the limit range L3, and the positions of other regions are determined based on the corresponding limit range based on the region R3.
  • step S1 the image acquisition unit 30 (see FIG. 1) acquires the image 3a (see FIG. 3) of the subject T (see FIG. 1).
  • step S2 the boundary line acquisition unit 32 (see FIG. 1) acquires the boundary line B (see FIG. 3) on the image 3a acquired in step S1.
  • step S3 the control unit 4 determines whether or not the position of the boundary line B acquired in step S2 has been corrected by the user via the input unit 7 (see FIG. 1). If it is determined that the correction has been made, the process proceeds to step S4. If it is not determined that the correction has been made, the process returns to step S1.
  • step S4 the length L5 to L8 (see FIG. 3) between the adjacent boundary lines B corrected in step S3 is measured by the inter-boundary line measuring unit 33 (see FIG. 1).
  • step S5 the length L5 to L8 between the boundary lines B measured in step S4 is accumulated (stored) in the storage unit 5 (see FIG. 1) by the control unit 4.
  • step S6 the control unit 4 calculates the average value and standard deviation of the lengths L5 to L8 between the boundary lines B accumulated in the storage unit 5 in step S5, and calculates the calculated average value and The standard deviation is reflected in the limit range table 5a (see FIG. 5).
  • limit ranges L1 to L4 are determined based on the limit range table 5a updated in step S6.
  • the X-ray imaging apparatus 100 acquires the image 3a of the subject T based on the X-rays detected by the X-ray detection unit 2, and based on the acquired image 3a, An image processing unit 3 is provided for extracting each of the plurality of regions R1 to R4 within the restriction ranges L1 to L4 for the lengths of the plurality of regions R1 to R4 of the subject T. Further, when the boundary between the adjacent regions R1 to R4 of the subject T extracted by the image processing unit 3 is corrected by the user, the control unit 4 reflects the correction result of the boundary by the user in the restriction ranges L1 to L4.
  • the X-ray imaging apparatus 100 is configured to include Thereby, when the boundary between the adjacent regions R1 to R4 of the subject T extracted by the image processing unit 3 is corrected by the user, the boundary correction result by the user is reflected in the restriction ranges L1 to L4. Each time the number of corrections by the user is repeated, the size of the restriction ranges L1 to L4 can be made appropriate for the subject T. As a result, it is possible to reduce the number of cases where correction by the user is necessary. Therefore, the entire predetermined work resulting from the user's work burden and the user's manual correction work for correcting the extracted regions R1 to R4 of the subject T is reduced. The increase in time can be suppressed.
  • the control unit 4 calculates the average value and the standard deviation of the lengths of the regions R1 to R4 of the plurality of subjects T after being corrected by the user, and the calculation is performed.
  • the X-ray imaging apparatus 100 is configured to reflect the average value and the standard deviation in the limit ranges L1 to L4.
  • the calculated average value and standard deviation are automatically reflected in the restriction ranges L1 to L4, so that the size of the restriction ranges L1 to L4 can be made appropriate for more subjects. As a result, the opportunity for correction by the user can be reduced more effectively.
  • the X-ray imaging apparatus 100 is configured so that the control unit 4 calculates the average value and the standard deviation for each age group and sex of the subject T.
  • the sizes of the body parts (vertebral bodies V1 to V4) are different from each other. Therefore, by calculating the average value and the standard deviation for each age group and sex of the subject T, it is possible to extract the regions R1 to R4 based on the appropriate limit ranges L1 to L4 for each subject T.
  • the age group and gender of the subject T tend to be biased depending on the type of facility where the X-ray imaging apparatus 100 is installed. Therefore, by calculating an average value and a standard deviation for each age group and sex of the subject T, the regions R1 to R4 are extracted based on the more appropriate restriction ranges L1 to L4 for each subject T (for each facility). Can do.
  • the X-ray imaging apparatus 100 is configured so that the control unit 4 calculates the average value and the standard deviation for each of the plurality of regions R1 to R4 of the subject T.
  • the sizes differ depending on the regions R1 to R4 (vertebral bodies V1 to V4) of the subject T. Accordingly, by calculating the average value and the standard deviation for each of the plurality of regions R1 to R4 of the subject T, it is possible to obtain an appropriate value for each part (vertebral body V1 to V4) in the body corresponding to the plurality of regions R1 to R4 of the subject T.
  • the regions R1 to R4 can be extracted based on the restriction ranges L1 to L4.
  • the control unit 4 determines the average value for each of the plurality of regions R1 to R4 based on the length data of the plurality of regions R1 to R4 accumulated in the storage unit 5.
  • the X-ray imaging apparatus 100 is configured so as to create a limited range table 5a representing standard deviation.
  • the limit ranges L1 to L4 can be determined by referring to the limit range table 5a.
  • the burden on the control unit 4 can be reduced compared to the case where the limit ranges L1 to L4 are calculated from the data stored in the storage unit 5.
  • the X-ray imaging apparatus 100 is configured so that the control unit 4 updates the limit range table 5a based on the addition of data to the storage unit 5 as described above. Thereby, the correction result by the user can be automatically reflected in the average value and the standard deviation of the limit range table 5a. As a result, it is possible to suppress an increase in time for the entire predetermined work caused by the user's work load and the user's manual correction work for updating the limit range table 5a based on the data added to the storage unit 5. .
  • the image processing unit 3 determines the lengths of the plurality of regions R1 to R4 corresponding to each of the plurality of vertebral bodies V1 to V4 of the subject T based on the acquired image 3a.
  • Each of the plurality of vertebral bodies V1 to V4 is extracted within the limited range L1 to L4, and a boundary line B is acquired between the adjacent regions R1 to R4 of the extracted subject T.
  • the control unit 4 limits the length between the adjacent boundary lines B after the correction by the user to the limit range L1 to
  • the X-ray imaging apparatus 100 is configured so as to be reflected in L4.
  • the limit range (L1 to L4) for the length of a plurality of predetermined regions (R1 to R4) corresponding to each of the plurality of vertebral bodies (V1 to V4) is determined.
  • the present invention is not limited to this.
  • any measurement site other than the vertebral bodies (V1 to V4) may be used as long as a plurality of measurement sites are continuously arranged.
  • the limit range table (5a) is shown as being divided according to the age group and sex of the subject (T), but the present invention is not limited to this.
  • the restriction range table (5a) may be divided according to the height of the subject (T).
  • a control part (4) shows the example which updates an average value and a standard deviation, whenever the data of the to-be-photographed object (T) by the user are added to a memory
  • the present invention is not limited to this.
  • the average value and the standard deviation may be updated each time a plurality of data is added.
  • control unit (4) has shown an example in which the limit ranges L1 to L4 are determined based on the average value and standard deviation of the lengths of the predetermined regions (R1 to R4). Is not limited to this.
  • the control unit (4) may determine the limit ranges L1 to L4 based on the maximum value and the minimum value of the length of the predetermined region (R1 to R4).
  • control unit (4) may be performed by event-driven (event-driven) processing that executes processing for each event. In this case, it may be performed by a complete event drive type or a combination of event drive and flow drive.

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Abstract

Ce dispositif d'imagerie à rayons X (100) comprend : une unité de traitement d'image (3) qui, à l'intérieur de plages limitées (L1 à L4) de longueurs d'une pluralité de régions (R1 à R4) d'un sujet (T), extrait chacune des régions (R1 à R4) ; et une unité de commande (4) qui amène les plages limitées (L1 à L4) à refléter les résultats de corrections effectuées par un utilisateur sur les limites entre les régions (R1 à R4) extraites par l'unité de traitement d'image (3) si de telles corrections ont été effectuées.
PCT/JP2017/016413 2017-04-25 2017-04-25 Dispositif d'imagerie à rayons x WO2018198206A1 (fr)

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Application Number Priority Date Filing Date Title
KR1020197029594A KR102321820B1 (ko) 2017-04-25 2017-04-25 X 선 촬상 장치
JP2019514928A JP6711457B2 (ja) 2017-04-25 2017-04-25 Ｘ線撮像装置
PCT/JP2017/016413 WO2018198206A1 (fr) 2017-04-25 2017-04-25 Dispositif d'imagerie à rayons x
CN201780090062.8A CN110545729B (zh) 2017-04-25 2017-04-25 X射线摄像装置

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022085493A1 (fr) * 2020-10-22 2022-04-28 キヤノン株式会社 Appareil de traitement d'image médicale

Citations (5)

* Cited by examiner, † Cited by third party
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