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      KCI등재 SCI SCIE SCOPUS

      Quantification of Breast Composition by Using a Dual-energy Technique with a Photon-counting Detector: Monte Carlo Simulation Studies

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      https://www.riss.kr/link?id=A104121164

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      다국어 초록 (Multilingual Abstract)

      Photon-counting detectors with energy-discrimination capabilities are able to reduce radiationdose and suppress noise compared with conventional detectors for X-ray imaging. These detectorsare suitable for spectral X-ray imaging because they can measure the energy of each photonand provide spectral information. One potential application of photon-counting detectors withenergy-discrimination capabilities is the quantification of breast composition by using dual-energytechniques. In this study, we implemented quantitative breast imaging with dual-energy techniquesby using Monte Carlo simulations. An X-ray imaging system was simulated with a photon-countingdetector based on cadmium zinc telluride and a micro-focus X-ray tube. In order to decompose threematerials with two spectral measurements, we applied an additional constraint that the sum of thevolumes of each material be equivalent to the volume of the mixture. Inverse fitting functions withthe least-squares estimation were used to obtain fitting coefficients and calculate volume fractionsfor each material. The results showed that the degree of decomposition for the composition includedin the mixtures varied with the type of composition and the inverse fitting function. High-orderfitting functions increased the quantitative accuracy, but the uncertainty of the decomposed imageswas increased for high-order fitting functions. This study demonstrates that it is possible to quantifybreast composition by using dual-energy techniques and photon-counting detectors without anadditional exposure and that the decomposed images should be evaluated by considering both theiruncertainties and quantitative accuracies.
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      Photon-counting detectors with energy-discrimination capabilities are able to reduce radiationdose and suppress noise compared with conventional detectors for X-ray imaging. These detectorsare suitable for spectral X-ray imaging because they can measu...

      Photon-counting detectors with energy-discrimination capabilities are able to reduce radiationdose and suppress noise compared with conventional detectors for X-ray imaging. These detectorsare suitable for spectral X-ray imaging because they can measure the energy of each photonand provide spectral information. One potential application of photon-counting detectors withenergy-discrimination capabilities is the quantification of breast composition by using dual-energytechniques. In this study, we implemented quantitative breast imaging with dual-energy techniquesby using Monte Carlo simulations. An X-ray imaging system was simulated with a photon-countingdetector based on cadmium zinc telluride and a micro-focus X-ray tube. In order to decompose threematerials with two spectral measurements, we applied an additional constraint that the sum of thevolumes of each material be equivalent to the volume of the mixture. Inverse fitting functions withthe least-squares estimation were used to obtain fitting coefficients and calculate volume fractionsfor each material. The results showed that the degree of decomposition for the composition includedin the mixtures varied with the type of composition and the inverse fitting function. High-orderfitting functions increased the quantitative accuracy, but the uncertainty of the decomposed imageswas increased for high-order fitting functions. This study demonstrates that it is possible to quantifybreast composition by using dual-energy techniques and photon-counting detectors without anadditional exposure and that the decomposed images should be evaluated by considering both theiruncertainties and quantitative accuracies.

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      참고문헌 (Reference)

      1 T. Takahashi, 48 : 950-, 2001

      2 E. Samei, 56 : 6359-, 2011

      3 M. Locker, 51 : 1717-, 2004

      4 P. M. Shikhaliev, 53 : 1475-, 2008

      5 X. Wang, 3453-, 2009

      6 T. G. Schmidt, 36 : 3018-, 2009

      7 S. W. Lee, 57 : 4931-, 2012

      8 N. F. Boyd, 356 : 227-, 2007

      9 J. A. Shepherd, 223 : 554-, 2002

      10 C. Bryne, 89 : 531-, 1997

      1 T. Takahashi, 48 : 950-, 2001

      2 E. Samei, 56 : 6359-, 2011

      3 M. Locker, 51 : 1717-, 2004

      4 P. M. Shikhaliev, 53 : 1475-, 2008

      5 X. Wang, 3453-, 2009

      6 T. G. Schmidt, 36 : 3018-, 2009

      7 S. W. Lee, 57 : 4931-, 2012

      8 N. F. Boyd, 356 : 227-, 2007

      9 J. A. Shepherd, 223 : 554-, 2002

      10 C. Bryne, 89 : 531-, 1997

      11 A. D. Laidevant, 37 : 164-, 2010

      12 L. M. Warren, 58 : N103-, 2013

      13 S. C. Kappadath, 53 : 5421-, 2008

      14 S. C. Kappadath, 32 : 3395-, 2005

      15 A. N. Primak, 195 : 1164-, 2010

      16 M. Qu, 196 : 1279-, 2011

      17 K. Spartiotis, 550 : 267-, 2005

      18 S. C. Kappadath, 30 : 1110-, 2003

      19 J. M. Boone, 213 : 23-, 1999

      20 L. Justin, 35 : 5411-, 2008

      21 G. Poludniowski, 54 : N433-, 2009

      22 X. Wang, 56 : 2791-, 2011

      23 X. Wang, 38 : 1534-, 2011

      24 D. Lazaro, 49 : 271-, 2004

      25 K. Taguchi, 37 : 3957-, 2010

      26 S. Jan, 56 : 881-, 2011

      27 L. Grevillot, 56 : 5203-, 2011

      28 J. M. Boone, 32 : 3767-, 2005

      29 A. Malusek, 58 : 771-, 2013

      30 M. R. Lemacks, 29 : 1739-, 2002

      31 H. N. Cardinal, 17 : 327-, 1990

      32 "Tissue substitutes in radiation dosimetry and measurement" ICRU 1989

      33 G. F. Knoll, "Radiation Detection and Measurement" Wiley 2010

      34 최유나, "Material Decomposition in Contrast-enhanced Digital Mammography Based on Photon Counting: Monte Carlo Simulation Studies" 한국물리학회 59 (59): 161-168, 2011

      35 A. A. Giordano, "Least Square Estimation with Applications to Digital Signal Processing" Wiley 1985

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 SCI 등재 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2002-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2000-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.47 0.15 0.31
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.26 0.2 0.26 0.03
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