WO2012080914A1 - Breast density assessment - Google Patents
Breast density assessment Download PDFInfo
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- WO2012080914A1 WO2012080914A1 PCT/IB2011/055548 IB2011055548W WO2012080914A1 WO 2012080914 A1 WO2012080914 A1 WO 2012080914A1 IB 2011055548 W IB2011055548 W IB 2011055548W WO 2012080914 A1 WO2012080914 A1 WO 2012080914A1
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- image data
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- image acquisition
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- 210000000481 breast Anatomy 0.000 title abstract description 34
- 238000000034 method Methods 0.000 claims abstract description 42
- 239000000463 material Substances 0.000 claims abstract description 34
- 230000009977 dual effect Effects 0.000 claims abstract description 28
- 238000009607 mammography Methods 0.000 claims abstract description 27
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 21
- 230000005855 radiation Effects 0.000 claims abstract description 21
- 238000001228 spectrum Methods 0.000 claims abstract description 18
- 238000004590 computer program Methods 0.000 claims description 14
- 238000003384 imaging method Methods 0.000 claims description 9
- 230000006835 compression Effects 0.000 claims description 4
- 238000007906 compression Methods 0.000 claims description 4
- FGUUSXIOTUKUDN-IBGZPJMESA-N C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 Chemical compound C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 FGUUSXIOTUKUDN-IBGZPJMESA-N 0.000 claims description 3
- 230000003595 spectral effect Effects 0.000 claims description 3
- 210000001519 tissue Anatomy 0.000 description 32
- 238000011068 loading method Methods 0.000 description 13
- 230000000762 glandular Effects 0.000 description 10
- 210000000577 adipose tissue Anatomy 0.000 description 8
- 238000004088 simulation Methods 0.000 description 6
- 230000001419 dependent effect Effects 0.000 description 3
- 206010028980 Neoplasm Diseases 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
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- 206010006187 Breast cancer Diseases 0.000 description 1
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- 238000002083 X-ray spectrum Methods 0.000 description 1
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Classifications
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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
- A61B6/50—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
- A61B6/502—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 breast, i.e. mammography
-
- 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
- A61B6/48—Diagnostic techniques
- A61B6/482—Diagnostic techniques involving multiple energy imaging
-
- 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
- A61B6/48—Diagnostic techniques
- A61B6/488—Diagnostic techniques involving pre-scan acquisition
-
- 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
- A61B6/54—Control of apparatus or devices for radiation diagnosis
- A61B6/542—Control of apparatus or devices for radiation diagnosis involving control of exposure
Definitions
- the present invention relates to an X-ray imaging system, a method for providing mammography information about an object of interest, as well as a computer program element and a computer readable medium.
- volumetric breast density which breast density is a key feature or a key characteristic, for detection and prediction of cancer such as breast cancer.
- the assessment of volumetric breast density from conventional mammograms may result in false predictions due to the influence of a 3D breast model estimation on the accuracy of the calculation.
- a method for providing mammography information about an object of interest comprising the following steps: a) Acquiring first image data with first image acquisition parameters, wherein the first image parameters are adapted to a first radiation spectrum of a dual energy mode, and wherein the first image acquisition is performed with a low X-ray dosage of a pre-scan;
- first and second are used to differentiate between different features of the same kind, like “first dose” and “second dose”. However, the terms “first” and “second” do not automatically relate to any (temporal) order, except where this is mentioned or can be derived from the context.
- step a) is performed before step b).
- a pre-scan is performed before a main scan.
- step b) is performed before step a), i.e. a scan is performed with a high dose and another scan is done thereafter with a low dose.
- the dual energy basis material decomposition separates image data relating to a first tissue type from image data relating to a second tissue type.
- the decomposed basis material image data is provided to the user.
- step f) display data is generated based on the second image data, wherein the image data is provided as a mammography image to a user.
- the first image data and the second image data are combined to generate display data to be presented to the user.
- an X-ray imaging system comprising an X-ray image acquisition device with an X-ray source and X-ray detector, a processing unit, and an interface unit.
- the X-ray image acquisition device is adapted to acquire first image data with first image acquisition parameters, wherein the first image parameters are adapted to a first radiation spectrum of the dual energy mode.
- the X- ray image acquisition device is adapted to perform the first image acquisition with a low X-ray dosage of a pre-scan.
- the X-ray image acquisition device is further adapted to acquire second image data with second image acquisition parameters, wherein the second image parameters are adapted to a second radiation spectrum of the dual energy mode.
- the X-ray image acquisition device is also adapted to perform the second image acquisition with a higher X-ray dosage than the first image acquisition.
- the second image acquisition is a mammography scan.
- the processing unit is adapted to perform a dual energy basis material decomposition based on the first and second image data to generate decomposed basis material image data, and to derive density information of the tissue structure of the region of interest from the
- the interface unit is adapted to provide the density information to a user.
- pre-scan performed prior to a clinical mammographic scan, which pre-scan is done at low dose.
- the pre-scan is then used together with the mammography scan for a dual energy basis material decomposition to estimate density information of the tissue structure, for example the breast tissue structure.
- Fig. 1 illustrates an X-ray imaging system according to an exemplary
- Fig. 2 illustrates basic steps of an exemplary embodiment of a method of the invention.
- Fig. 3 shows a further exemplary embodiment of the method according to the invention.
- Fig. 4 shows a further exemplary embodiment of a method according to the invention.
- Fig. 5 shows a further exemplary embodiment of a method according to the invention.
- Fig. 6 shows a further exemplary embodiment of a method according to the invention.
- Fig. 7 shows a further exemplary embodiment of a method according to the invention.
- Fig. 8 shows a further exemplary embodiment of a method according to the invention.
- Fig. 9 shows an exemplary embodiment of decomposed basis material image data provided to the user according to the invention.
- Fig. 10 shows a table describing accuracy aspects of breast density assessment for different dosages used for the pre-scan according to an exemplary embodiment of the invention.
- Fig. 11 shows an error bias for the results shown in Fig. 10.
- Fig. 1 shows an X-ray imaging system 10 comprising an X-ray image acquisition device 12 with an X-ray source 14 and an X-ray detector 16. Further, a processing unit 18 and an interface unit 20 are provided.
- the X-ray imaging system 10 shown is a mammography system where a patient can stand in an upright position, wherein a breast of the patient, or any other part of the body, at least theoretically, can be provided between the X-ray source 14 and the X-ray detector 16.
- a first panel 22 is shown. By moving the first panel upwards or downwards, the distance between the panel and the detector, indicated with reference D, can be adapted to the respective size of the breast. Thus, a desired pressure can be acted upon the breast for a proper acquisition procedure.
- the detector 16 is also formed as a sort of panel having a surface area upon which the breast can be received.
- the X-ray image acquisition device is movably supported to a support structure 24, which comprises an adjusting mechanism 26, indicated by a vertical post.
- the X-ray image acquisition device 12 can be moved upwards or downwards to be adapted to the patient's height, such that the patient can stand in a comfortable position during the acquisition procedure.
- the X-ray image acquisition device 12 is adapted to acquire first image data with first image acquisition parameters, wherein the first image parameters are adapted to a first radiation spectrum of the dual energy mode.
- the X-ray image acquisition device is further adapted to perform the first image acquisition with a low X-ray dosage of a pre-scan.
- the X-ray image acquisition device 12 is further adapted to acquire second image data with second image acquisition parameters, wherein the second image parameters are adapted to a second radiation spectrum of the dual energy mode.
- the X-ray image acquisition device is adapted to perform the second image acquisition with a higher X-ray dosage than the first image acquisition.
- the second image acquisition is a mammography scan.
- the processing unit which is of course connected to the X-ray image acquisition device, however the connection is not further shown, is adapted to perform a dual energy basis material decomposition based on the first and second image data to generate decomposed basis material image data; and to derive a density information of the tissue structure of the region of interest from the decomposed basis material image data. Further, the interface unit is adapted to provide the density information to a user. It must be noted that the interface unit 20 is not further shown.
- a display device 28 is provided, wherein the display device is connected to the processing unit 18.
- the display device is adapted to display density information to the user, which density information is indicated with reference numeral 30.
- the X-ray imaging system 10 of Fig. 1 can be equipped with the display device 28; however it is not necessary that the display device is provided according to an exemplary embodiment of the invention. In other words, the features described above can also be taken without the combination of the display device.
- X-ray imaging systems are also provided according to the invention, but not shown in the figures.
- any X-ray system with fixed source and detector can be used.
- other systems suited for mammography are provided, such as C-arm systems. It is of course also possible to provide systems where a table is provided to receive a patient which can be arranged facing downwards for mammography scans.
- the processing unit 18 is adapted to generate display data based on the second image data, wherein the display device is adapted to display the image data as a mammography image.
- the processing unit 18 is adapted to generate display data based on the second image data, wherein the display device is adapted to display the image data as a mammography image.
- a method 100 for providing mammography information about an object of interest is shown, wherein the region of interest comprises a tissue structure.
- the method comprises the following steps:
- first image data 112 is acquired with first image acquisition parameters 114.
- the first image parameters 114 are adapted to a first radiation spectrum of a dual energy mode.
- the first image acquisition is performed with a low X-ray dosage of a pre-scan.
- second image data 118 is acquired with second image acquisition parameters 120.
- the second image parameters are adapted to a second radiation spectrum of the dual energy mode.
- the second image acquisition is performed with a higher X-ray dosage than the first image acquisition.
- the second image acquisition is a mammography scan.
- a dual energy basis material decomposition 122 is performed based on the first and second image data to generate decomposed basis material image data 126.
- a deriving step 1208 density information 130 of the tissue structure of the region of interest is derived from the decomposed basis material image data 126.
- the density information is then provided to a user, indicated with reference numeral 132.
- the first acquisition step 110 is also referred to as step a)
- the second acquisition step 116 is also referred to as step b)
- the performing step 124 is also referred to as step c)
- the deriving step 128 is also referred to as step d).
- step a) is performed before step b).
- step a) is a pre-scan and step b) is a main scan.
- step b) is performed before step a), i.e. a fist scan is performed with a high does and a second scan is done thereafter with a low dose.
- the density information comprises a density value.
- the density value is an average density value of the region of interest. According to a further aspect, the density value is a density value of the region of interest for different tissue types.
- a first radiation dose is applied during the first image acquisition and a second radiation dose during the second acquisition.
- the first dose is smaller than the second dose at least by a factor of 2. In other words, the first dose is approximately less than 50 % of the second dose, or
- the first dose is at least less than 20 % of the second dose, preferably less than 10 %.
- the first dose is at most
- the dose of the first scan is 2.5 % of the second scan.
- the dose rate is applied in a reversed manner, respectively, i.e. the scan performed before the other one has a dose that is larger than the dose of the scan performed after that at least by a factor of 2.
- the dose of the scan performed before the other one is approximately more than 200 % of dose of the scan performed afterwards.
- the first and second radiation spectra exhibit minimal spectral overlap. For example, they are separated from each other.
- the x-ray spectra corresponding to the first and second radiation spectra exhibit the least possible overlap on the energy axis. For example, this can be achieved by employing appropriate combinations of kVp values and filter materials.
- the high-kVP scan preferably the pre-scan should be heavily filtered to (a) reduce the dose as required and (b) reduce the spectral overlap.
- the region of interest is arranged between two compression elements and the distance D between the two compression elements is detected by a distance measuring sensor.
- the detection is indicated with a further box 134, comprising the reference numeral D inside for the distance.
- the thickness of the region of interest that can be derived by the distance D detected in step 134 is determined for performing step c), which is indicated by a dotted line 136 connecting the box 134 with the box 122.
- the dual energy basis material decomposition separates image data relating to a first tissue type from image data relating to a second tissue type.
- the first tissue type is glandular tissue and the second tissue type is adipose tissue.
- a first density value for glandular tissue and a second density value for the adipose tissue are provided.
- the density values can also be provided as density information.
- the term "density information” comprises different types of data providing the desired density information, such as, a rather simple form, a single number or value, a pair of values, a graphical representation in form of a two-dimensional graph or even three-dimensional image data from which the density information can be derived by the user.
- step c) mean values for glandular tissue and for adipose tissue are determined.
- mean values for the first and second tissue type for a selectable region are determined and provided to the user.
- the user for example a clinical staff member, can indicate a region of particular interest, i.e. he can select a certain region of interest which can be smaller than the region of interest to which the term of image acquisition refers to , such that he is provided with means values for the particular selected region.
- a section or part of the breast can be selected.
- the whole breast can be selected.
- decomposition is based on calibration data 136 which is acquired in a calibration scan 138, for example before performing the above described method steps according to one of the described exemplary embodiments.
- the first and second image data in steps a) and b) are acquired with the same first and second spectra as the calibration scan (not further shown).
- decomposed basis material image data 126 is provided to the user, indicated with a box 140.
- the user is not only provided with density information 130, as indicated by the provision box 132, but also with the decomposed basis material image data.
- decomposed image display data is derived from the decomposed basis material image data in order to display a respective image.
- display data 142 is generated in a generation step 144 based on the second image data.
- the display data 142 is provided in a provision step 146 to the user as a mammography image 148.
- the second image acquisition is referred to as a main mammography acquisition.
- the second image acquisition is a diagnostic scan providing sufficient information for a clinical staff member or other personnel to derive the respective diagnostic assessments.
- the first image data 112 and the second image data 118 are combined in a combination step 150 to generate display data 152 to be presented to the user, which is indicated by a box 154.
- the first image data of step a) is used for an exposure control 156 in step b).
- a pre-scan performed prior to the clinical mammographic scan used, for example, for correct positioning of the breast.
- the pre-scan is done at a low dosage and the kVp can be set different from kVp setting during the main scan without compromising the positioning.
- volumetric breast density from conventional mammograms may have several disadvantages.
- the known distance between the two panels holding the breast allows a decomposition of the attenuation into attenuation caused by adipose and glandular tissue, this does not always work for the boundaries where the breast does not fully touch the panels, i.e., the thickness of breast which the X-rays pass is smaller than the panel distance. This may lead to artefacts that influence the accuracy of the calculation of the average density of the breast.
- the above described exemplary embodiments of the invention provide an alternative and improved way to compute breast density by making use of a low dose pre-scan in combination with the main mammographic acquisition.
- One of the aspects of the invention is to remove the bias in the estimation of the average breast density assessment resulting from the high intensity regions on the
- two cylindrical slabs of adipose tissue and glandular tissue of the same diameter are used with thicknesses of 30 mm and 20 mm, respectively.
- Fig. 9 in the case of the 10 mAs case of the tube loading for the pre-scan.
- the left part of Fig. 9 shows a decomposition of the dual energy data into adipose tissue ICRU44.
- the thus derived image data is shown in form of a circular area 172.
- the shape of the area results from the shape of the chosen cylindrical slab.
- the circle 172 is filled with a certain pixel pattern, i.e. a first pattern 173, indicating the respective density image data.
- Fig. 9 shows in the right part a breast tissue ICRU44 which is glandular tissue structure, also indicated with a second circular area 174.
- the circle 174 is filled with a second pattern 175, which second pattern indicates the respective density image data for the respective tissue type.
- Both representations are for the case of the 10 mAs tube loading of the 35 kVp pre-scan. Further, below the image representation, further information 176 is presented. For example, a mean value 178 is presented for each of the tissue types.
- Fig. 10 the results of the volumetric breast density measurements from respective projection data sets as shown in Fig. 9 as an example for the respective settings, are illustrated.
- Fig. 10 the fraction of glandular tissue, as an indicator for breast density usually referred to, is indicated on the vertical axis, starting with the value of 0.32 up to 0.42. On the horizontal axis, different cases are indicated.
- the truth is indicated with a first indicator 180, namely the relation of 20 mm of a total of 50 mm, which results in a fraction value of 0.4.
- a pre-scan has been performed with the same tube loading as the main scan, namely 150 mAs.
- a fourth indicator 186 leads up to a value, i.e. a fraction, of nearly 0.39.
- Fig. 11 the results from Fig. 10 are shown as a bias percentage 189 in the vertical axis.
- the vertical axis indicates a bias of -14 % up to a bias of +2 %.
- a line 190 indicating a value of 0 % of the bias. Of course, in case of the truth, no indicator is shown.
- a first arrow 192 leads up to nearly the value of 1%.
- a third indicator 196 indicates the bias value in percent for the 5 mAs pre-scan version.
- a fourth indicator 198 indicates an error bias of more than -12 % for the case of a 1 mAs pre-scan.
- a pre-scan of less than 10 % tube loading, for example 10 mAs, instead of 150 mAs leads to a better result with respect to the error bias shown in Fig. 11.
- a computer program or a computer program element is provided that is characterized by being adapted to execute the method steps of the method according to one of the preceding embodiments, on an appropriate system.
- the computer program element might therefore be stored on a computer unit, which might also be part of an embodiment of the present invention.
- This computing unit may be adapted to perform or induce a performing of the steps of the method described above. Moreover, it may be adapted to operate the components of the above described apparatus.
- the computing unit can be adapted to operate automatically and/or to execute the orders of a user.
- a computer program may be loaded into a working memory of a data processor.
- the data processor may thus be equipped to carry out the method of the invention.
- This exemplary embodiment of the invention covers both, a computer program that right from the beginning uses the invention and a computer program that by means of an up-date turns an existing program into a program that uses the invention.
- a computer readable medium such as a CD-ROM
- the computer readable medium has a computer program element stored on it which computer program element is described by the preceding section.
- the computer program may also be presented over a network like the
- World Wide Web can be downloaded into the working memory of a data processor from such a network.
- a medium for making a computer program element available for downloading is provided, which computer program element is arranged to perform a method according to one of the previously described embodiments of the invention.
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Abstract
Description
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Priority Applications (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
RU2013132565/28A RU2587556C2 (en) | 2010-12-13 | 2011-12-08 | Evaluation of breast density |
CN201180067277.0A CN103347447B (en) | 2010-12-13 | 2011-12-08 | breast density assessment |
BR112013014567A BR112013014567A2 (en) | 2010-12-13 | 2011-12-08 | x-ray imaging system, method for providing mammography information about an object of interest, computer program element for device control and computer readable media |
JP2013543928A JP2013545575A (en) | 2010-12-13 | 2011-12-08 | X-ray image processing system and information providing method |
EP11805216.6A EP2651299B1 (en) | 2010-12-13 | 2011-12-08 | Breast density assessment |
US13/991,923 US9168013B2 (en) | 2010-12-13 | 2011-12-08 | Breast density assessment |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP10194750.5 | 2010-12-13 | ||
EP10194750 | 2010-12-13 |
Publications (1)
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WO2012080914A1 true WO2012080914A1 (en) | 2012-06-21 |
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Application Number | Title | Priority Date | Filing Date |
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PCT/IB2011/055548 WO2012080914A1 (en) | 2010-12-13 | 2011-12-08 | Breast density assessment |
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US (1) | US9168013B2 (en) |
EP (1) | EP2651299B1 (en) |
JP (1) | JP2013545575A (en) |
CN (1) | CN103347447B (en) |
BR (1) | BR112013014567A2 (en) |
RU (1) | RU2587556C2 (en) |
WO (1) | WO2012080914A1 (en) |
Cited By (7)
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---|---|---|---|---|
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WO2014097026A1 (en) | 2012-12-21 | 2014-06-26 | Koninklijke Philips N.V. | Breast thickness measurement in mammography |
US9597046B2 (en) | 2011-11-23 | 2017-03-21 | Koninklijke Philips N.V. | Method and device for imaging soft body tissue using X-ray projection and optical tomography |
EP3251598A1 (en) * | 2016-05-30 | 2017-12-06 | Konica Minolta, Inc. | Talbot imaging apparatus |
US10238354B2 (en) | 2014-02-04 | 2019-03-26 | Koninklijke Philips N.V | Generating a breast parameter map |
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---|---|---|---|---|
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DE102014208411A1 (en) | 2014-05-06 | 2015-11-12 | Siemens Aktiengesellschaft | Evaluation of an X-ray image of a breast produced during mammography |
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US10285661B2 (en) * | 2015-09-18 | 2019-05-14 | Varian Medical Systems International Ag | Automatice exposure control for x-ray imaging |
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US11308594B2 (en) * | 2020-05-15 | 2022-04-19 | GE Precision Healthcare LLC | Tomosynthesis dataset generation using pre-exposure acquisition |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1216661A2 (en) * | 2000-12-18 | 2002-06-26 | GE Medical Systems Global Technology Company LLC | Medical diagnostic method and apparatus to control dual energy exposure techniques based on image information |
EP1426903A2 (en) * | 2002-11-26 | 2004-06-09 | GE Medical Systems Global Technology Company LLC | Computer aided diagnosis of an image set |
US20050069086A1 (en) * | 2003-04-01 | 2005-03-31 | Analogic Corporation | Dynamic exposure control in radiography |
US20090022273A1 (en) | 2007-07-20 | 2009-01-22 | Fujifilm Corporation | Apparatus for and method of capturing radiation image |
Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR2801776B1 (en) * | 1999-12-03 | 2002-04-26 | Commissariat Energie Atomique | METHOD OF USING AN OSTEODENSITOMETRY SYSTEM, BY BI-ENERGY X-RADIATION, WITH A CONICAL BEAM |
US6898263B2 (en) * | 2002-11-27 | 2005-05-24 | Ge Medical Systems Global Technology Company, Llc | Method and apparatus for soft-tissue volume visualization |
US7123684B2 (en) * | 2002-11-27 | 2006-10-17 | Hologic, Inc. | Full field mammography with tissue exposure control, tomosynthesis, and dynamic field of view processing |
US6950492B2 (en) * | 2003-06-25 | 2005-09-27 | Besson Guy M | Dynamic multi-spectral X-ray projection imaging |
SE528366C2 (en) | 2004-02-13 | 2006-10-31 | Sectra Mamea Ab | Method and apparatus for X-ray imaging |
PT103200B (en) * | 2004-09-30 | 2006-08-24 | Taguspark-Soc. Prom.Desenv.Parq.Ci.Tec.Area Lisboa | POSITRON EMISSION TOMOGRAPHY SYSTEM (PET) |
JP4494355B2 (en) * | 2006-03-07 | 2010-06-30 | 富士フイルム株式会社 | Radiographic imaging apparatus and method for controlling radiographic imaging apparatus |
JP2008125691A (en) * | 2006-11-20 | 2008-06-05 | Fujifilm Corp | Radiation image operation method and apparatus and program |
JP5184834B2 (en) | 2007-07-18 | 2013-04-17 | ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー | X-ray CT system |
US8115784B2 (en) * | 2008-11-26 | 2012-02-14 | General Electric Company | Systems and methods for displaying multi-energy data |
US8170320B2 (en) | 2009-03-03 | 2012-05-01 | Hologic, Inc. | Mammography/tomosynthesis systems and methods automatically deriving breast characteristics from breast x-ray images and automatically adjusting image processing parameters accordingly |
-
2011
- 2011-12-08 BR BR112013014567A patent/BR112013014567A2/en not_active IP Right Cessation
- 2011-12-08 CN CN201180067277.0A patent/CN103347447B/en not_active Expired - Fee Related
- 2011-12-08 US US13/991,923 patent/US9168013B2/en not_active Expired - Fee Related
- 2011-12-08 EP EP11805216.6A patent/EP2651299B1/en not_active Not-in-force
- 2011-12-08 RU RU2013132565/28A patent/RU2587556C2/en not_active IP Right Cessation
- 2011-12-08 JP JP2013543928A patent/JP2013545575A/en active Pending
- 2011-12-08 WO PCT/IB2011/055548 patent/WO2012080914A1/en active Application Filing
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1216661A2 (en) * | 2000-12-18 | 2002-06-26 | GE Medical Systems Global Technology Company LLC | Medical diagnostic method and apparatus to control dual energy exposure techniques based on image information |
EP1426903A2 (en) * | 2002-11-26 | 2004-06-09 | GE Medical Systems Global Technology Company LLC | Computer aided diagnosis of an image set |
US20050069086A1 (en) * | 2003-04-01 | 2005-03-31 | Analogic Corporation | Dynamic exposure control in radiography |
US20090022273A1 (en) | 2007-07-20 | 2009-01-22 | Fujifilm Corporation | Apparatus for and method of capturing radiation image |
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Publication number | Priority date | Publication date | Assignee | Title |
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US9597046B2 (en) | 2011-11-23 | 2017-03-21 | Koninklijke Philips N.V. | Method and device for imaging soft body tissue using X-ray projection and optical tomography |
CN107753048B (en) * | 2012-09-05 | 2020-12-29 | 三星电子株式会社 | X-ray imaging apparatus |
JP2018012018A (en) * | 2012-09-05 | 2018-01-25 | 三星電子株式会社Samsung Electronics Co.,Ltd. | X-ray imaging device |
CN107753048A (en) * | 2012-09-05 | 2018-03-06 | 三星电子株式会社 | X-ray imaging device |
US10201319B2 (en) | 2012-09-05 | 2019-02-12 | Samsung Electronics Co., Ltd. | X-ray imaging device and X-ray image forming method |
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JP2014050708A (en) * | 2012-09-05 | 2014-03-20 | Samsung Electronics Co Ltd | X-ray imaging device and x-ray image forming method |
WO2014097026A1 (en) | 2012-12-21 | 2014-06-26 | Koninklijke Philips N.V. | Breast thickness measurement in mammography |
US10238354B2 (en) | 2014-02-04 | 2019-03-26 | Koninklijke Philips N.V | Generating a breast parameter map |
EP3251598A1 (en) * | 2016-05-30 | 2017-12-06 | Konica Minolta, Inc. | Talbot imaging apparatus |
US10545103B2 (en) | 2016-05-30 | 2020-01-28 | Konica Minolta, Inc. | Talbot imaging apparatus |
CN109959669B (en) * | 2017-12-26 | 2021-02-23 | 清华大学 | Method and apparatus for decomposing base material and computer readable storage medium |
CN109959669A (en) * | 2017-12-26 | 2019-07-02 | 清华大学 | Sill decomposition method and device and computer readable storage medium |
CN110652311A (en) * | 2018-06-29 | 2020-01-07 | 通用电气公司 | System and method for imaging an object via a pre-shooting process |
US10824892B2 (en) | 2018-06-29 | 2020-11-03 | General Electric Company | System and method for imaging an object via pre-shot processing |
CN110652311B (en) * | 2018-06-29 | 2023-10-31 | 通用电气公司 | System and method for imaging an object via pre-beat processing |
Also Published As
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EP2651299A1 (en) | 2013-10-23 |
JP2013545575A (en) | 2013-12-26 |
CN103347447B (en) | 2016-08-10 |
RU2587556C2 (en) | 2016-06-20 |
EP2651299B1 (en) | 2015-10-07 |
RU2013132565A (en) | 2015-01-20 |
US9168013B2 (en) | 2015-10-27 |
CN103347447A (en) | 2013-10-09 |
BR112013014567A2 (en) | 2017-07-04 |
US20130251104A1 (en) | 2013-09-26 |
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