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      확산텐서 MR 영상을 이용한 백질의 비등방성 측정 및 백질섬유 트래킹: 확산경사자장의 방향수가 미치는 영향 = Anisotropy Measurement and Fiber Tracking of the White Matter by Using Diffusion Tensor MR Imaging: Influence of the Number of Diffusion-Sensitizing Gradient Direction

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      https://www.riss.kr/link?id=A101605539

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      다국어 초록 (Multilingual Abstract)

      Purpose : Recent development of diffusion tensor imaging enables the evaluation of the microstructural characteristics of the brain white matter. However, optimal imaging parameters for diffusion tensor imaging, particularly concerning the number of diffusion gradient direction, have not been studied thoroughly yet. The purpose of this study was to evaluate the influence of the number of diffusion gradient direction on the fiber tracking of the white matter.
      Materials and methods : 13 healthy volunteers (ten men and three women, mean age 30 years, age range 23-37 years) were included in this study. Diffusion tensor imaging was performed with different numbers of diffusion gradient direction as 6, 15, and 32, keeping the other imaging parameters constant. The imaging field ranged from 1 cm below the pons to 2-3 cm above the lateral ventricle, parallel to the anterior commissure-posterior commissure line. FA (fractional anisotropy) maps were created via image postprocessing, and then FA and its standard deviation were calculated in the genu and the splenium of the corpus callosum on each of FA maps. Fiber tracking of the corticospinal tract in the brain was performed and the number of the reconstructed fibers of the tract was measured. FA, standard deviation of FA and the number of the reconstructed fibers were compared statistically between the different diffusion gradient directions.
      Results : FA is not statistically significantly different between the different diffusion gradient directions. By increasing the number of diffusion gradient direction, standard deviation of FA decreased significantly, and the number of the reconstructed fibers increased significantly.
      Conclusion : The higher number of diffusion gradient direction provided better quality of fiber tracking.
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      Purpose : Recent development of diffusion tensor imaging enables the evaluation of the microstructural characteristics of the brain white matter. However, optimal imaging parameters for diffusion tensor imaging, particularly concerning the number of d...

      Purpose : Recent development of diffusion tensor imaging enables the evaluation of the microstructural characteristics of the brain white matter. However, optimal imaging parameters for diffusion tensor imaging, particularly concerning the number of diffusion gradient direction, have not been studied thoroughly yet. The purpose of this study was to evaluate the influence of the number of diffusion gradient direction on the fiber tracking of the white matter.
      Materials and methods : 13 healthy volunteers (ten men and three women, mean age 30 years, age range 23-37 years) were included in this study. Diffusion tensor imaging was performed with different numbers of diffusion gradient direction as 6, 15, and 32, keeping the other imaging parameters constant. The imaging field ranged from 1 cm below the pons to 2-3 cm above the lateral ventricle, parallel to the anterior commissure-posterior commissure line. FA (fractional anisotropy) maps were created via image postprocessing, and then FA and its standard deviation were calculated in the genu and the splenium of the corpus callosum on each of FA maps. Fiber tracking of the corticospinal tract in the brain was performed and the number of the reconstructed fibers of the tract was measured. FA, standard deviation of FA and the number of the reconstructed fibers were compared statistically between the different diffusion gradient directions.
      Results : FA is not statistically significantly different between the different diffusion gradient directions. By increasing the number of diffusion gradient direction, standard deviation of FA decreased significantly, and the number of the reconstructed fibers increased significantly.
      Conclusion : The higher number of diffusion gradient direction provided better quality of fiber tracking.

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      참고문헌 (Reference)

      1 "확산 경사자장의 방향수에 따른 분할 비등방성 뇌자기공명영상의 잡음에 대한 히스토그램 분석" 52 : 87-92, 2005

      2 "Toward a quantitative assessment of d-iffusion anisotropy" 36 : 893-906, 1996

      3 "Three-dimensionaltracking of axonal projections in the brain by magnetic reso-nance imaging" 45 : 265-269, 1999

      4 "Three-dimensional white matter tractography by diffusion ten-sor imaging in ischemic stroke involving the corticospinaltract" 45 : 532-535, 2003

      5 "The role of diffusion tensor imaging in the evalua-tion of ischemic brain injury:a review" 15 : 561-569, 2002

      6 "Optimization of dif-fusion-tensor MR imaging data acquisition parameters forbrain fiber tracking using parallel imaging at 3 T" 4 : 234-238, 2004

      7 "Minimal gradient encoding for robust estimationof diffusion anisotropy" 18 : 671-679, 2000

      8 "MR tractography for the e-valuation of functional recovery from lenticulostriate infarcts" 64 : 108-113, 2005

      9 "M-RI-based topographic parcellation of human cerebral whitematter" 9 : 1-17, 1999

      10 "Fiber-tracking methodreveals sensorimotor pathway involvement in stroke patients" 34 : 159-162, 2003

      1 "확산 경사자장의 방향수에 따른 분할 비등방성 뇌자기공명영상의 잡음에 대한 히스토그램 분석" 52 : 87-92, 2005

      2 "Toward a quantitative assessment of d-iffusion anisotropy" 36 : 893-906, 1996

      3 "Three-dimensionaltracking of axonal projections in the brain by magnetic reso-nance imaging" 45 : 265-269, 1999

      4 "Three-dimensional white matter tractography by diffusion ten-sor imaging in ischemic stroke involving the corticospinaltract" 45 : 532-535, 2003

      5 "The role of diffusion tensor imaging in the evalua-tion of ischemic brain injury:a review" 15 : 561-569, 2002

      6 "Optimization of dif-fusion-tensor MR imaging data acquisition parameters forbrain fiber tracking using parallel imaging at 3 T" 4 : 234-238, 2004

      7 "Minimal gradient encoding for robust estimationof diffusion anisotropy" 18 : 671-679, 2000

      8 "MR tractography for the e-valuation of functional recovery from lenticulostriate infarcts" 64 : 108-113, 2005

      9 "M-RI-based topographic parcellation of human cerebral whitematter" 9 : 1-17, 1999

      10 "Fiber-tracking methodreveals sensorimotor pathway involvement in stroke patients" 34 : 159-162, 2003

      11 "Fiber trackingby diffusion tensor imaging in corticospinal track stroke:Topographical correlation with clinical symptoms" 26 : 771-776, 2005

      12 "Diffusion tensorimaging and axonal tracking in the human brainstem" 14 : 723-735, 2001

      13 "Diffusion tensor imaging of cerebral white mat-ter:a pictorial review of physics,fiber tract anatomy,and tu-mor imaging patterns" 25 : 356-369, 2004

      14 "Diffusion tensor imaging in cerebraltumor diagnosis and therapy" 15 : 315-324, 2004

      15 "Diffusion tensor imag-ing of the brain:effect of diffusion weighting on trace andanisotropy measurement" 21 : 1813-1820, 2000

      16 "Diffusion tensor MR imaging of the brain andwhite matter tractography" 178 : 3-16, 2002

      17 "DTI tractography based parcel-lation of white matter:application to the mid-sagittal morphol-ogy of corpus callosum" 26 : 195-205, 2005

      18 "Comparison of gradientencoding schemes for diffusion-tensor MRI" 13 : 769-780, 2001

      19 "Combined magnetic resonancetractography and functional magnetic resonace imaging in e-valuation of brain tumors involving the motor system" 28 : 551-556, 2004

      20 "Clinicotopographical correlation of corticospinal tract stroke:acolor-coded diffusion tensor imaging study" 35 : 86-92, 2004

      21 "Classification and quantifica-tion of neuronal fiber pathways using diffusion-tensor MRI" 49 : 716-721, 2003

      22 "Brain fiber tracking with clin-ically feasible diffusion-tensor MR imaging:initial experience" 227 : 295-301, 2003

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 계속평가 신청대상 (계속평가)
      2021-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      2020-12-01 평가 등재후보 탈락 (계속평가)
      2019-12-01 평가 등재후보로 하락 (계속평가) KCI등재후보
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-03-31 학술지명변경 한글명 : 대한자기공명의과학회지 -> Investigative Magnetic Resonance Imaging
      외국어명 : Journal of the Korean Society of Magnetic Resonance in Medicine -> Investigative Magnetic Resonance Imaging
      KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2010-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2009-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2008-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2007-01-01 평가 등재후보학술지 유지 (등재후보2차) KCI등재후보
      2006-06-23 학술지명변경 외국어명 : Journal of Korean Society of Magnetic Resonancein Medicine -> Journal of the Korean Society of Magnetic Resonance in Medicine KCI등재후보
      2006-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.03 0.03 0.02
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.03 0.03 0.178 0.03
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