4.7 Article

Cellular-level diffusion tensor microscopy and fiber tracking in mammalian nervous tissue with direct histological correlation

期刊

NEUROIMAGE
卷 52, 期 2, 页码 556-561

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2010.04.031

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资金

  1. NIH [P41 RR16105, RO1 NS36992]
  2. NSF through the National High Magnetic Field Laboratory
  3. KTI Switzerland [6364.1 KTS-NM]
  4. Danish National Research Foundation [95093538-2458, 100297]
  5. Augustinus Foundation

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Magnetic resonance imaging techniques have literally revolutionized neuroimaging with an unprecedented ability to explore tissue structure and function. Over the last three decades, the sensitivity and array of imaging techniques available have improved providing ever finer structural information and more sensitive functional techniques. Among these methods, diffusion imaging techniques have facilitated the generation of fiber-tract maps of the brain enabling an examination of issues related to brain structure and neural connectivity. Despite the potential utility of the techniques described, validation has not yet been achieved on biological samples. Recently, using newly developed surface microcoils on small samples at high magnetic fields, we demonstrated the ability of MR microscopy to image individual neurons in mammalian brain tissue. In the present work, we combine MR microscopy with the highest resolution (15 mu m) fiber tracking yet reported and demonstrate the accuracy of the fiber tract maps with direct histological validation. Thus it becomes possible to delineate fiber structure in tissues at the cellular level. A semi-quantitative approach was used to estimate the cell overlap fraction (cOF) and fiber tract overlap fraction (tOF), with cOFs of 94%, 92% and 100%, and tOFs of 84%, 86% and 100%, in rat cervical, rat lumbar, and pig spinal cord tissue, respectively. These methods provide a way to directly validate fiber tracking techniques with histology so that contemporary tracking techniques may be compared and refined using the microstructural details of a biological template as a ground truth. Published by Elsevier Inc.

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