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      영상기반 방사성동위원소 흡수선량 평가 = Image-based Absorbed Dosimetry of Radioisotope

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      https://www.riss.kr/link?id=A102494711

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      다국어 초록 (Multilingual Abstract)

      An absorbed dose calculation method using a digital phantom is implemented in normal organs. This method cannot be employed for calculating the absorbed dose of tumor. In this study, we measure the S-value for calculating the absorbed dose of each organ and tumor. We inject a radioisotope into a torso phantom and perform Monte Carlo simulation based on the CT data. The torso phantom has lung, liver, spinal, cylinder, and tumor simulated using a spherical phantom. The radioactivity of the actual absorbed dose is measured using the injected dose of the radioisotope, which is Cu-64 73.85 MBq, and detected using a glass dosimeter in the torso phantom. To perform the Monte Carlo simulation, the information on each organ and tumor acquired using the PET/CT and CT data provides anatomical information. The anatomical information is offered above mean value and manually segmented for each organ and tumor. The residence time of the radioisotope in each organ and tumor is calculated using the time activity curve of Cu-64 radioactivity. The S-values of each organ and tumor are calculated based on the Monte Carlo simulation data using the spatial coordinate, voxel size, and density information. The absorbed dose is evaluated using that obtained through the Monte Carlo simulation and the S-value and the residence time in each organ and tumor. The absorbed dose in liver, tumor1, and tumor2 is 4.52E-02, 4.61E-02, and 5.98E-02 mGy/MBq, respectively. The difference in the absorbed dose measured using the glass dosimeter and that obtained through the Monte Carlo simulation data is within 12.3%. The result of this study is that the absorbed dose obtained using an image can evaluate each difference region and size of a region of interest.
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      An absorbed dose calculation method using a digital phantom is implemented in normal organs. This method cannot be employed for calculating the absorbed dose of tumor. In this study, we measure the S-value for calculating the absorbed dose of each org...

      An absorbed dose calculation method using a digital phantom is implemented in normal organs. This method cannot be employed for calculating the absorbed dose of tumor. In this study, we measure the S-value for calculating the absorbed dose of each organ and tumor. We inject a radioisotope into a torso phantom and perform Monte Carlo simulation based on the CT data. The torso phantom has lung, liver, spinal, cylinder, and tumor simulated using a spherical phantom. The radioactivity of the actual absorbed dose is measured using the injected dose of the radioisotope, which is Cu-64 73.85 MBq, and detected using a glass dosimeter in the torso phantom. To perform the Monte Carlo simulation, the information on each organ and tumor acquired using the PET/CT and CT data provides anatomical information. The anatomical information is offered above mean value and manually segmented for each organ and tumor. The residence time of the radioisotope in each organ and tumor is calculated using the time activity curve of Cu-64 radioactivity. The S-values of each organ and tumor are calculated based on the Monte Carlo simulation data using the spatial coordinate, voxel size, and density information. The absorbed dose is evaluated using that obtained through the Monte Carlo simulation and the S-value and the residence time in each organ and tumor. The absorbed dose in liver, tumor1, and tumor2 is 4.52E-02, 4.61E-02, and 5.98E-02 mGy/MBq, respectively. The difference in the absorbed dose measured using the glass dosimeter and that obtained through the Monte Carlo simulation data is within 12.3%. The result of this study is that the absorbed dose obtained using an image can evaluate each difference region and size of a region of interest.

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      참고문헌 (Reference)

      1 Caon M, "Voxel-based computational models of real human anatomy: a review" 42 : 229-235, 2004

      2 Treyer V, "Radiation dosimetry and biodistribution of 11C-ABP688 measured in healthy volunteers" 35 : 766-770, 2008

      3 Mack A, "Precision dosimetry for narrow photon beams used in radiosurgery Determination of Gamma Knife output factors" 29 : 2080-2089, 2002

      4 Stabin MG, "Photon specific absorbed fractions calculated in the trunk of an adult male voxel-based phantom" 82 : 2002

      5 Huang SY, "Patient-specific dosimetry using pretherapy [124I]m-iodobenzylguanidine ([124I]mIBG)dynamic PET/CT imaging before [131I]mIBG targeted radionuclide therapy for neuroblastoma" 17 (17): 284-294, 2015

      6 Stabin MG, "OLINDA/EXM: The Second-Generation Personal Computer Software for Internal Dose Assessment in Nuclear Medicine" 46 : 1023-1027, 2005

      7 Stabin MG, "Nuclear medicine dosimetry" 51 : R187-R202, 2006

      8 Stabin MG, "MIRDOSE: personal computer software for internal dose assessment in nuclear medicine" 37 : 538-546, 1996

      9 Loevinger R, "MIRD Primer for Absorbed Dose Calculations" Society of Nuclear Medicine 1988

      10 Berger MJ, "MIRD Pamphlet No. 7: distribution of absorbed doses around point sources of electrons and beta particles in water and other media" 12 : 5-23, 1971

      1 Caon M, "Voxel-based computational models of real human anatomy: a review" 42 : 229-235, 2004

      2 Treyer V, "Radiation dosimetry and biodistribution of 11C-ABP688 measured in healthy volunteers" 35 : 766-770, 2008

      3 Mack A, "Precision dosimetry for narrow photon beams used in radiosurgery Determination of Gamma Knife output factors" 29 : 2080-2089, 2002

      4 Stabin MG, "Photon specific absorbed fractions calculated in the trunk of an adult male voxel-based phantom" 82 : 2002

      5 Huang SY, "Patient-specific dosimetry using pretherapy [124I]m-iodobenzylguanidine ([124I]mIBG)dynamic PET/CT imaging before [131I]mIBG targeted radionuclide therapy for neuroblastoma" 17 (17): 284-294, 2015

      6 Stabin MG, "OLINDA/EXM: The Second-Generation Personal Computer Software for Internal Dose Assessment in Nuclear Medicine" 46 : 1023-1027, 2005

      7 Stabin MG, "Nuclear medicine dosimetry" 51 : R187-R202, 2006

      8 Stabin MG, "MIRDOSE: personal computer software for internal dose assessment in nuclear medicine" 37 : 538-546, 1996

      9 Loevinger R, "MIRD Primer for Absorbed Dose Calculations" Society of Nuclear Medicine 1988

      10 Berger MJ, "MIRD Pamphlet No. 7: distribution of absorbed doses around point sources of electrons and beta particles in water and other media" 12 : 5-23, 1971

      11 Thomas SR, "MIRD Pamphlet No. 14: A Dynamic Urinary Bladder Model for Radiation Dose Calculations" 33 : 783-802, 1992

      12 Snyder WS, "MIRD Pamphlet No. 11: ‘S’, Absorbed dose per unit cumulated activity for selected radionuclides and organs" The Society of Nuclear Medicine 1975

      13 Stabin MG, "Internal dosimetry as a tool for radiation protection of the patient in nuclear medicine" 3 (3): 1-11, 2007

      14 Bar-Shalom R, "Clinical performance of PET/CT in evaluation of cancer: additional value for diagnostic imaging and patient management" 44 (44): 1200-1209, 2003

      15 Koepfli P, "CT attenuation correction for myocardial perfusion quantification using a PET/CT hybrid scanner" 45 (45): 537-542, 2004

      16 Miller G, "Bayesian internal dosimetry calculations using Markov Chain Monte Carlo" 98 : 191-198, 2002

      17 Neto VL, "Application for internal dosimetry using biokinetic distribution of photons based on nuclear medicine images" 47 : 275-282, 2014

      18 Antoch G, "Accuracy of wholebody dual-modality fluorine-18-2-fluoro-2-deoxy-D-glucose positron emission tomography and computed tomography (FDG-PET/CT) for tumor staging in solid tumors: comparison with CT and PET" 22 (22): 4357-4368, 2004

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2024 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2019-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      2016-12-01 평가 등재후보 탈락 (계속평가)
      2015-12-01 평가 등재후보로 하락 (기타) KCI등재후보
      2014-07-10 학술지명변경 외국어명 : Korean Journal of Medical Physics -> PROGRESS in MEDICAL PHYSICS KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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