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WO2017065591A1 - Système et procédé pour calculer automatiquement une dose efficace d'exposition à un rayonnement - Google Patents

Système et procédé pour calculer automatiquement une dose efficace d'exposition à un rayonnement Download PDF

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Publication number
WO2017065591A1
WO2017065591A1 PCT/KR2016/011643 KR2016011643W WO2017065591A1 WO 2017065591 A1 WO2017065591 A1 WO 2017065591A1 KR 2016011643 W KR2016011643 W KR 2016011643W WO 2017065591 A1 WO2017065591 A1 WO 2017065591A1
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WIPO (PCT)
Prior art keywords
image
patient
radiation
calculating
region
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Ceased
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PCT/KR2016/011643
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English (en)
Korean (ko)
Inventor
이창현
김광기
신승원
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
National Cancer Center Japan
National Cancer Center Korea
Seoul National University Hospital
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National Cancer Center Japan
National Cancer Center Korea
Seoul National University Hospital
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Publication of WO2017065591A1 publication Critical patent/WO2017065591A1/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
    • 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
    • A61B6/10—Safety means specially adapted therefor

Definitions

  • the present invention relates to a method and apparatus for automatically calculating the effective radiation dose of a patient who has been exposed to a radiation medical device, and more particularly to a method and apparatus for calculating the effective radiation dose according to the body part of the patient.
  • CT scans are made with 360-degree rotation of radiation, and there may be gaps or overlaps between successive images, depending on the site or purpose of the examination.
  • CT dose index CTDI
  • DLP dose length project
  • DLP multiplied by CDTI and scan length is multiplied by conversion factor for each body part, and converted into effective dose (mSv). (chest), abdomen (abdomen), pelvis (pelvis).
  • the current dose report provided by the device during CT imaging provides CTDIvol and DLP values based on 16cm for tofu and 32cm polymethyl methacrylate (PMMA) phantom for the torso, but this is a dose value measured using the phantom. It is not possible to provide individual dose values for patients that depend on their body type.
  • PMMA polymethyl methacrylate
  • the chest CT often includes most of the thyroid gland and the liver. Multiplying only the conversion factor, which reduces the calculated exposure value, results in a problem of increasing the radiation dose to be exposed to the patient.
  • the recent AAPM report 204 introduces the concept of a size-specific dose estimate (SSDE), and proposes a method of estimating the dose considering the patient's body size.
  • the report provides a conversion table according to size so that the dose at the actual site can be easily calculated as the body size is changed.
  • the method of segmenting a body part of a patient using CT disclosed in US Patent Publication No. US20150190102 and US Patent No. US5345513 may include clinical image data confirmed in each CT in order to calculate the size (patient body part) of the patient. Since it is about 3000 pieces of image information, the method of checking all of them and recognizing them by each part has a great burden on the server, database, and network, which may greatly affect the hospital information system.
  • the present invention is to solve the above problems and to calculate the exact radiation exposure according to each body part of the patient in the process of obtaining a CT medical image, and its purpose is to apply to the CT imaging protocol.
  • a method for automatically calculating an effective effective dose of a radiation includes: receiving a two-dimensional scout image and acquiring a plurality of line data by performing row line scanning of the scout image at a plurality of positions Calculating a median value for each of the plurality of line data, obtaining a plurality of median values, forming a graph based on the plurality of median values, and checking a body image portion of a patient to which radiation is radiated based on the graphs.
  • the dividing step may include automatically calculating the exposure dose for each body part of the patient by calculating the radiation dose irradiated for each divided body image part.
  • the graph may be a correlation of the median value according to the height direction of the patient.
  • the method for automatically calculating the effective dose of radiation may further include extracting a region of interest from the scout image, and may perform line scanning on the region of interest.
  • the segmentation of the body image part may include setting a predetermined threshold value in the graph, and detecting a first peak and a second peak from the largest value among the values larger than the threshold value.
  • the method may include determining a section between the first peak and the second peak as a closed region.
  • the dividing of the body image part may include detecting a first lowest point having a lowest value among areas except the lung area, determining the first lowest point as the upper pelvis, and the lung area. Thereafter, the method may further include determining an area from the upper part of the pelvis to the abdominal area.
  • the dividing of the body image part may further include detecting a point having the same value as the threshold value in an area after the first lowest point area and determining the point as the lower pelvis.
  • the step of automatically calculating the exposure amount for each body part of the patient may calculate a radiation exposure amount for each body part of the patient by substituting a conversion factor preset for each divided body part.
  • Automatic radiation effective exposure calculation system comprises an image input unit for receiving a two-dimensional scout image; An image divider for dividing a body image part of a patient based on a 2D scout image received from the image input unit; A data storage unit configured to store a predetermined conversion factor for a region of each patient's body part; receiving the divided body image part of the patient from the image processor, and converting the exposure conversion factor from the data storage unit; The radiation exposure calculation unit may be configured to calculate the radiation exposure amount for each body part of the patient by inputting the exposure conversion index into the divided body image part of the patient.
  • the image segmentation unit may further include: a line data scan unit configured to obtain a plurality of line data by repeatedly performing line scanning on the brightness of the scout image toward the first direction of the scout image; An intermediate value calculator configured to receive the plurality of line data from the line data scan unit 210 and calculate an intermediate value for each of the line data to calculate an intermediate value of the plurality of line data; A graph forming unit receiving the plurality of line data intermediate values from the intermediate value calculating unit to form a graph based on the intermediate values; And a body region dividing unit which receives the graph from the graph forming unit and divides the body image part of the patient to which the radiation is irradiated based on the graph.
  • the body region dividing unit 240 sets a predetermined threshold value in the graph, and sets the first peak and the second peak to the two largest values among the values larger than the threshold. Detect, determine a section between the first highest point and the second highest point as the lung region, detect a first lowest point having the lowest value among the regions excluding the lung region, and determine the first lowest point as the pelvis Determine the upper end, detect a point having the same value as the threshold in the area after the first lowest point, determine the point as the lower pelvis, determine the area from the upper pelvis to the lower pelvis as the pelvic area, The area from the lung area to the top of the pelvis may be determined as the abdominal area.
  • the radiation exposure calculation unit may calculate a radiation exposure amount irradiated to the patient by substituting a predetermined conversion index for each of the lung area, the pelvic area, and the abdominal area.
  • the present invention has an advantage of automatically calculating the radiation dose according to the body type of the patient by automatically calculating the effective radiation dose according to the body part of the patient.
  • the present invention has a merit that the calculation amount of the body image segmentation is greatly reduced since the body image of the patient is divided using the scout image, and the hospital information system is not overwhelming.
  • FIG. 1 is a flowchart illustrating a method for automatically calculating an effective radiation dose of the present invention.
  • FIG. 3 illustrates a graph based on a plurality of intermediate values according to an embodiment of the present invention.
  • FIG. 4 is a diagram illustrating segmentation by body parts in the scout image of the present invention.
  • FIG. 5 is a block diagram of an automatic radiation effective dose calculation system according to the present invention.
  • FIG. 1 is a flowchart illustrating a method for automatically calculating an effective radiation dose amount according to an embodiment of the present invention.
  • a step of receiving a 2D scout image 10 (S100) and a brightness of the image in a horizontal direction of the scout image 10 is provided.
  • Acquiring a plurality of line data by performing line scanning at a plurality of positions (S200), calculating an intermediate value for each of the plurality of line data, and obtaining a plurality of intermediate values (S300).
  • the scout image 10 of the present invention is an image previously photographed to a patient in order to determine a photographing position at the time of CT imaging.
  • the scout image 10 is a CT tomography image in an Anterior-Posterior direction and a lateral direction.
  • the scout image 10 is an image similar to a simple X-ray image. If the scout image 10 is used to automatically segment the body part, compared to using thousands of CT images, the body part can be easily segmented and there is an advantage in the hospital information system.
  • a region of interest of the scout image may be automatically selected. Based on these results, adaptive Histogram Equalization, Histogram Stretching, and Median filtering can be performed to emphasize the characteristics of each part of the image.
  • FIG. 2 illustrates a line scanning process, a median value, and a graph acquisition process of the scout image 10 according to an exemplary embodiment of the present invention.
  • line scanning (marked in yellow) is performed in a row of the scout image 10.
  • Direction can be performed. That is, line scanning is performed in a row direction perpendicular to the height of the chairman.
  • this line scanning may be performed at a plurality of positions having different positions.
  • the line scanning is performed in the horizontal direction at the first position 11 in the height direction of the patient, the line scanning is performed in the horizontal direction at the second position 12, and the line is transversely in the third position 13. Scanning can be performed.
  • Line scanning of the present invention means scanning the brightness information of the scout image 10. For example, if the number of pixels of the scout image 10 in which the line scanning is performed in the horizontal direction at the first position 11 is 1000, it means that the brightness information of each of the 1000 pixels is scanned. In addition, line data means brightness information of each of these 1000 pixels.
  • the mean value of the present invention means a value at an intermediate position of line data, that is, a value at an intermediate position among pixel brightness information arranged in ascending order. For example, if the number of pixels performing line scanning at the first position is five, the brightness information of the first pixel is 1, the brightness information of the second pixel is 16, the brightness information of the third pixel is 2, and If the brightness information is 10 and the brightness information of the fifth pixel is 11, the intermediate value may be 10, which is brightness information at the intermediate position after sorting the brightness information of the pixels in ascending order.
  • this is merely illustrative and does not limit the scope of the present invention.
  • the plurality of intermediate values are among the intermediate values (pixel brightness information arranged in ascending order) for each line data obtained by line scanning performed at different positions 11, 12, 13, 14, 15, and 16. Value in the middle position).
  • the graph forming step S400 may be formed based on a plurality of intermediate values.
  • the graph of the present invention may be an association of the median value along the height direction of the patient.
  • the X axis may be the position in the key direction of the patient, the X axis is the middle value, or the Y axis may be the position in the key direction of the patient, and the X axis is the middle value.
  • the X axis is the position of the patient in the key direction and the Y axis is the intensity. Accordingly, the coordinates of the graph of FIG. 3 mean an intermediate value of image brightness performed by line scanning at a position in a vertical direction (a patient's height direction). According to an embodiment of the present invention, moving average filtering of size 21 may be performed to remove noise of the graph thus obtained.
  • the step S500 of segmenting the body image part of the present invention uses a graph based on a median value.
  • This graph has the advantage of expressing the characteristics of the vertical region (the region in the key direction) of the human body region as one one-dimensional graph.
  • the lung region may be first divided in the scout image 10.
  • a threshold having a predetermined size may be set and two points, the largest of which is greater than the set threshold, may be detected to determine the first peak and the second peak.
  • the first and second peaks may be points on a curve that changes from a value rising to a kind of inflection point to a value falling.
  • the section between the first peak and the second peak may be determined as the closed region.
  • the present invention can further segment the scout body image into the pelvic region.
  • the lung region is excluded from the scout image 10.
  • the lowest valued valley among the regions excluding the lung area can be detected and determined as the top of the pelvis.
  • a point having the same value as the threshold value is detected in the area after the lowest point area, and this point is determined as the lower pelvis. Therefore, according to the present invention, the region between the lowest point and the point having a threshold value in the region after the lowest point can be determined as the pelvis region.
  • the present invention may determine the region from the lung region (ie, the region after the second highest point in FIG. 3) to the lowest point as the abdominal region.
  • the lung region exhibits low brightness due to the influence of air
  • the abdominal region exhibits high brightness due to the distribution of many organs, but also includes a region showing low brightness due to the influence of air included in some organs. have.
  • the pelvic region shows a high brightness due to the large area occupied by the pelvic bone and high X-ray absorption.
  • calculating the effective exposure amount may automatically calculate the effective exposure amount for each body part of the patient by calculating the radiation dose irradiated for each divided body image part.
  • an effective dose for each body may be calculated by using a conversion factor set in advance.
  • the effective exposure amount of the lung area is calculated by substituting the conversion index corresponding to the lung in the area determined as the lung area above, and the effective exposure amount of the abdomen area is substituted by substituting the conversion index corresponding to the abdomen in the area determined as the abdominal area.
  • Radiation effective exposure automatic calculation system of the present invention includes an image input unit 100, an image segmentation unit 200, a data storage unit 300, a radiation effective exposure calculation unit 400.
  • the image input unit 100 receives the 2D scout image 10 and transmits the image to the image divider 200.
  • the image splitter 200 of the present invention may segment the body image part in the vertical direction based on the 2D scout image 10 received from the image input unit 100.
  • the vertical direction refers to a height direction of the patient, and the image splitter 200 of the present invention may divide a body image part in the height direction of the patient.
  • the image divider 200 of the present invention may include a line data scan unit 210, an intermediate value calculator 220, a graph forming unit 230, and a body region divider 240.
  • the line data scan unit 210 of the present invention may form a plurality of line data by performing line scanning on the brightness of the image in a plurality of positions in a row direction of the scout image 10.
  • the line data, the line scanning, and the line data are the same as described above, detailed description thereof will be omitted.
  • the median value calculator 220 of the present invention may receive a plurality of line data from the line data scan unit 210, calculate a median value for each line data, and calculate a plurality of line data median values.
  • a process of calculating the plurality of line data intermediate values is the same as described above, a detailed description thereof will be omitted.
  • the graph forming unit of the present invention may receive the intermediate values of the plurality of line data from the intermediate value calculating unit 220 and form a graph based on the intermediate values.
  • the graph and the graph forming process are the same as described above, a detailed description thereof will be omitted.
  • the body region dividing unit 240 of the present invention may receive the graph from the graph forming unit 230 and divide the body image portion of the patient to which the radiation is irradiated based on the graph.
  • the body region dividing unit 240 sets a predetermined threshold value in the graph, detects a first peak and a second peak from the two largest values among the values larger than the threshold value. Determining a section between the first highest point and the second highest point as the lung region, detecting a valley having the smallest value except the lung region, and determining the first lowest point as the upper pelvis.
  • the area up to the pelvis may be determined as an abdominal area, and the scout image 10 may be divided into the lung area, the pelvic area, and the abdominal area.
  • the division of the body part in the scout image 10 in the height direction (vertical direction) of the patient is the same as described above, a detailed description thereof will be omitted.
  • the effective radiation dose calculation unit 400 receives the divided body image portion of the divided patient from the body region divider 240 included in the image divider 200, and stores the data. By receiving the exposure conversion index from the unit 300, the effective exposure amount for each body part of the patient may be calculated by substituting the exposure conversion index into the divided body image part of the patient.
  • the method of calculating the effective exposure amount for each body part is also the same as described above, and thus detailed descriptions thereof will be omitted.

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Abstract

La présente invention concerne un procédé pour calculer automatiquement une dose efficace d'exposition à un rayonnement, qui peut calculer automatiquement une quantité d'irradiation de rayonnement en fonction d'une partie du corps du patient pour calculer précisément et automatiquement une quantité d'irradiation de rayonnement conformément à la forme du corps d'un patient. Le procédé pour calculer automatiquement une dose efficace d'exposition à un rayonnement selon la présente invention peut comprendre les étapes de : réception d'une image de repérage bidimensionnelle ; acquisition d'éléments multiples de données de ligne par exécution, à une pluralité de positions, d'un balayage de ligne relatif à la luminosité de l'image dans une direction horizontale (ligne) de l'image de repérage ; acquisition d'une pluralité de valeurs médianes par calcul d'une valeur médiane pour chacun des éléments multiples de données de ligne ; formation d'un graphique sur la base de la pluralité de valeurs médianes ; division d'une zone d'image de corps d'un patient, sur laquelle un rayonnement est irradié, sur la base du graphe ; et calcul automatique d'une dose d'exposition pour chaque partie du corps du patient par calcul d'une quantité de rayonnement irradiée sur chacune des zones d'image de partie de corps divisées.
PCT/KR2016/011643 2015-10-16 2016-10-17 Système et procédé pour calculer automatiquement une dose efficace d'exposition à un rayonnement Ceased WO2017065591A1 (fr)

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KR10-2015-0144968 2015-10-16
KR1020150144968A KR101750173B1 (ko) 2015-10-16 2015-10-16 방사선 유효 피폭량 자동 계산 시스템 및 방법

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113017655A (zh) * 2019-12-24 2021-06-25 通用电气公司 医疗装置和程序
CN116421207A (zh) * 2023-06-12 2023-07-14 上海西门子医疗器械有限公司 医用x射线成像方法及医用x射线成像装置

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5345513A (en) * 1991-03-30 1994-09-06 Fujitsu Limited Method and apparatus for processing image corresponding to radiographic pattern
JP2012085936A (ja) * 2010-10-22 2012-05-10 Hitachi Medical Corp Ｘ線ｃｔ装置
KR101337235B1 (ko) * 2012-05-04 2013-12-16 (주)메디엔인터내셔날 피폭선량 계산시스템
KR101500481B1 (ko) * 2014-01-24 2015-03-10 연세대학교 원주산학협력단 디지털유방촬영과 디지털유방단층합성촬영 시 평균유선선량 검출 방법 및 그 방법을 실행하는 프로그램이 기록된 기록매체
US20150190102A1 (en) * 2013-12-02 2015-07-09 Cefla Societá Cooperativa Method and apparatus for adjusting technical exposure factors during radiographic acquisition

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5345513A (en) * 1991-03-30 1994-09-06 Fujitsu Limited Method and apparatus for processing image corresponding to radiographic pattern
JP2012085936A (ja) * 2010-10-22 2012-05-10 Hitachi Medical Corp Ｘ線ｃｔ装置
KR101337235B1 (ko) * 2012-05-04 2013-12-16 (주)메디엔인터내셔날 피폭선량 계산시스템
US20150190102A1 (en) * 2013-12-02 2015-07-09 Cefla Societá Cooperativa Method and apparatus for adjusting technical exposure factors during radiographic acquisition
KR101500481B1 (ko) * 2014-01-24 2015-03-10 연세대학교 원주산학협력단 디지털유방촬영과 디지털유방단층합성촬영 시 평균유선선량 검출 방법 및 그 방법을 실행하는 프로그램이 기록된 기록매체

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113017655A (zh) * 2019-12-24 2021-06-25 通用电气公司 医疗装置和程序
CN113017655B (zh) * 2019-12-24 2025-01-21 通用电气公司 医疗装置和程序
CN116421207A (zh) * 2023-06-12 2023-07-14 上海西门子医疗器械有限公司 医用x射线成像方法及医用x射线成像装置
CN116421207B (zh) * 2023-06-12 2023-08-25 上海西门子医疗器械有限公司 医用x射线成像方法及医用x射线成像装置

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