지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
In molecular imaging studies via magnetic resonance imaging, in vivo cell tracking is an important issue for the observation of cell therapy
or disease behavior. High resolution imaging and longitudinal study are necessary to track the cell movement. Since the field inhomogeneity extends over several voxels, we have performed the numerical analysis using the sub-voxel method dividing a voxel of MR image into several elements and the information about the field inhomogeneity distribution around the micro-beads. We imbedded ferrite-composite micro-beads with the size of 20-150 μm in the subject substituted for cells to induce local field distortion. In the phantom imaging with the
isotropic voxel size of 200 μm3, we could confirm the feasibility of sub-voxel tracking in a 3.0 T MRI.
목차
등록된 정보가 없습니다.
참고문헌 (14)
참고문헌 신청
B. M. M？ller-Bierl / 2006. / Numerical simulations of intra-voxel dephasing effects and singal voids in gradient echo MR imaging using different sub-grid sizes 19 : 88 ~ 95
C. H. Cunningham / 2005. / Positive contrast magnetic resonance imaging of cells labeled with magnetic nanoparticles 53 : 999 ~ 1005
C. Heyn / 2005. / Detection threshold of single SPIO-labeled cells with FIESTA 53 : 312 ~ 320
D. A. Yablonskiy / 1994. / ？On theory of NMR signal behavior in magnetically inhomogeneous tissues 32 : 749 ~ 763
E. Lavergne / 2006. / In vivo cellular imaging of lymphocyte trafficking by MRI: a tumor model approach to cell-based anticancer therapy 56 : 498 ~ 508
C. H. Cunningham / 2005. / Positive contrast magnetic resonance imaging of cells labeled with magnetic nanoparticles 53 : 999 ~ 1005
C. Heyn / 2005. / Detection threshold of single SPIO-labeled cells with FIESTA 53 : 312 ~ 320
D. A. Yablonskiy / 1994. / ？On theory of NMR signal behavior in magnetically inhomogeneous tissues 32 : 749 ~ 763
E. Lavergne / 2006. / In vivo cellular imaging of lymphocyte trafficking by MRI: a tumor model approach to cell-based anticancer therapy 56 : 498 ~ 508
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