The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
생체 내 이제 확산텐서자기공명영상(DT-MRI)을 사용하여 뇌의 주요 신경 경로를 밝히고 조사할 수 있습니다. 신경 경로는 a) 별개의 노이즈가 있는 측정된 DT-MRI 데이터로부터 연속 확산 텐서 필드를 계산한 다음 b) 궤적의 로컬 방향 벡터가 식별되는 섬유관의 진화를 설명하는 방정식을 풀어 구성됩니다. 최대 겉보기 확산도 방향으로. 이 접근 방식은 이전에 합성된 잡음이 있는 DT-MRI 데이터를 사용하여 검증되었습니다. 현재 뇌량과 추체로와 같은 뇌의 큰 백질 구조를 재구성하는 것이 가능합니다. 그러나 몇 가지 문제가 여전히 방법의 신뢰성에 영향을 미칩니다. 섬유관 방향 분포가 균일하지 않은 경우 정확도가 저하되고 확산 가중 MRI의 배경 잡음으로 인해 계산된 궤적이 다른 관로로 점프할 수 있습니다. 그럼에도 불구하고, 이 방법은 중추 및 말초 신경계의 신경 경로의 연결성과 연속성을 시각화하고 연구하는 정량적 정보를 제공할 수 있습니다. 생체내에서, 다른 섬유질 조직 및 정렬된 매체의 건축적 특징을 설명할 가능성이 있습니다.
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Peter J. BASSER, Sinisa PAJEVIC, Carlo PIERPAOLI, Akram ALDROUBI, "Fiber Tract Following in the Human Brain Using DT-MRI Data" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 1, pp. 15-21, January 2002, doi: .
Abstract: In Vivo Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) can now be used to elucidate and investigate major nerve pathways in the brain. Nerve pathways are constructed by a) calculating a continuous diffusion tensor field from the discrete, noisy, measured DT-MRI data and then b) solving an equation describing the evolution of a fiber tract, in which the local direction vector of the trajectory is identified with the direction of maximum apparent diffusivity. This approach has been validated previously using synthesized, noisy DT-MRI data. Presently, it is possible to reconstruct large white matter structures in the brain, such as the corpus callosum and the pyramidal tracts. Several problems, however, still affect the method's reliability. Its accuracy degrades where the fiber-tract directional distribution is non-uniform, and background noise in diffusion weighted MRIs can cause computed trajectories to jump to different tracts. Nonetheless, this method can provide quantitative information with which to visualize and study connectivity and continuity of neural pathways in the central and peripheral nervous systems in vivo, and holds promise for elucidating architectural features in other fibrous tissues and ordered media.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_1_15/_p
부
@ARTICLE{e85-d_1_15,
author={Peter J. BASSER, Sinisa PAJEVIC, Carlo PIERPAOLI, Akram ALDROUBI, },
journal={IEICE TRANSACTIONS on Information},
title={Fiber Tract Following in the Human Brain Using DT-MRI Data},
year={2002},
volume={E85-D},
number={1},
pages={15-21},
abstract={In Vivo Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) can now be used to elucidate and investigate major nerve pathways in the brain. Nerve pathways are constructed by a) calculating a continuous diffusion tensor field from the discrete, noisy, measured DT-MRI data and then b) solving an equation describing the evolution of a fiber tract, in which the local direction vector of the trajectory is identified with the direction of maximum apparent diffusivity. This approach has been validated previously using synthesized, noisy DT-MRI data. Presently, it is possible to reconstruct large white matter structures in the brain, such as the corpus callosum and the pyramidal tracts. Several problems, however, still affect the method's reliability. Its accuracy degrades where the fiber-tract directional distribution is non-uniform, and background noise in diffusion weighted MRIs can cause computed trajectories to jump to different tracts. Nonetheless, this method can provide quantitative information with which to visualize and study connectivity and continuity of neural pathways in the central and peripheral nervous systems in vivo, and holds promise for elucidating architectural features in other fibrous tissues and ordered media.},
keywords={},
doi={},
ISSN={},
month={January},}
부
TY - JOUR
TI - Fiber Tract Following in the Human Brain Using DT-MRI Data
T2 - IEICE TRANSACTIONS on Information
SP - 15
EP - 21
AU - Peter J. BASSER
AU - Sinisa PAJEVIC
AU - Carlo PIERPAOLI
AU - Akram ALDROUBI
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2002
AB - In Vivo Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) can now be used to elucidate and investigate major nerve pathways in the brain. Nerve pathways are constructed by a) calculating a continuous diffusion tensor field from the discrete, noisy, measured DT-MRI data and then b) solving an equation describing the evolution of a fiber tract, in which the local direction vector of the trajectory is identified with the direction of maximum apparent diffusivity. This approach has been validated previously using synthesized, noisy DT-MRI data. Presently, it is possible to reconstruct large white matter structures in the brain, such as the corpus callosum and the pyramidal tracts. Several problems, however, still affect the method's reliability. Its accuracy degrades where the fiber-tract directional distribution is non-uniform, and background noise in diffusion weighted MRIs can cause computed trajectories to jump to different tracts. Nonetheless, this method can provide quantitative information with which to visualize and study connectivity and continuity of neural pathways in the central and peripheral nervous systems in vivo, and holds promise for elucidating architectural features in other fibrous tissues and ordered media.
ER -