| Magnetic resonance microscopy of human and porcine neurons and cellular processes. | |
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MedLine Citation:
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PMID: 22281672 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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With its unparalleled ability to safely generate high-contrast images of soft tissues, magnetic resonance imaging (MRI) has remained at the forefront of diagnostic clinical medicine. Unfortunately due to resolution limitations, clinical scans are most useful for detecting macroscopic structural changes associated with a small number of pathologies. Moreover, due to a longstanding inability to directly observe magnetic resonance (MR) signal behavior at the cellular level, such information is poorly characterized and generally must be inferred. With the advent of the MR microscope in 1986 came the ability to measure MR signal properties of theretofore unobservable tissue structures. Recently, further improvements in hardware technology have made possible the ability to visualize mammalian cellular structure. In the current study, we expand upon previous work by imaging the neuronal cell bodies and processes of human and porcine α-motor neurons. Complimentary imaging studies are conducted in pig tissue in order to demonstrate qualitative similarities to human samples. Also, apparent diffusion coefficient (ADC) maps were generated inside porcine α-motor neuron cell bodies and portions of their largest processes (mean=1.7±0.5μm(2)/ms based on 53pixels) as well as in areas containing a mixture of extracellular space, microvasculature, and neuropil (0.59±0.37μm(2)/ms based on 33pixels). Three-dimensional reconstruction of MR images containing α-motor neurons shows the spatial arrangement of neuronal projections between adjacent cells. Such advancements in imaging portend the ability to construct accurate models of MR signal behavior based on direct observation and measurement of the components which comprise functional tissues. These tools would not only be useful for improving our interpretation of macroscopic MRI performed in the clinic, but they could potentially be used to develop new methods of differential diagnosis to aid in the early detection of a multitude of neuropathologies. |
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Authors:
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Jeremy J Flint; Brian Hansen; Sharon Portnoy; Choong-Heon Lee; Michael A King; Michael Fey; Franck Vincent; Greg J Stanisz; Peter Vestergaard-Poulsen; Stephen J Blackband |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-1-14 |
Journal Detail:
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Title: NeuroImage Volume: - ISSN: 1095-9572 ISO Abbreviation: - Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-1-27 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9215515 Medline TA: Neuroimage Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Published by Elsevier Inc. |
Affiliation:
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University of Florida, McKnight Brain Institute, Dep. of Neuroscience, FL, USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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