Literature DB >> 17946920

Morphology and morphometry in chronic spinal cord injury assessed using diffusion tensor imaging and fuzzy logic.

Benjamin M Ellingson1, John L Ulmer, Robert W Prost, Brian D Schmit.   

Abstract

Diffusion tensor imaging (DTI) using a combination of direct anisotropy measurements provided a more anatomically accurate morphological representation of the human spinal cord than traditional anisotropy indices. Furthermore, the use of a fuzzy logic algorithm to segment regions of gray and white matter within the spinal cord based on these anisotropy measurements allowed for morphometric analyses. Results indicated a significant decrease in overall spinal cord cross-sectional area, dorsal funiculus cross-sectional area, and lateral funiculi cross-sectional area in subjects with injury compared to the neurologically intact control subjects. Results also showed individuals with caudal injuries had a morphology and morphometry that was more similar to that of the control subjects, which is consistent with the process of Wallerian degeneration and has been illustrated by previous investigations involving animal surrogates.

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Year:  2006        PMID: 17946920     DOI: 10.1109/IEMBS.2006.259379

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Diffusion tensor MR imaging of the neurologically intact human spinal cord.

Authors:  B M Ellingson; J L Ulmer; S N Kurpad; B D Schmit
Journal:  AJNR Am J Neuroradiol       Date:  2008-04-16       Impact factor: 3.825

Review 2.  Imaging techniques in spinal cord injury.

Authors:  Benjamin M Ellingson; Noriko Salamon; Langston T Holly
Journal:  World Neurosurg       Date:  2012-12-12       Impact factor: 2.104

Review 3.  Diffusion tensor imaging of the spinal cord: insights from animal and human studies.

Authors:  Aditya Vedantam; Michael B Jirjis; Brian D Schmit; Marjorie C Wang; John L Ulmer; Shekar N Kurpad
Journal:  Neurosurgery       Date:  2014-01       Impact factor: 4.654

4.  Fuzzy logic: A "simple" solution for complexities in neurosciences?

Authors:  Saniya Siraj Godil; Muhammad Shahzad Shamim; Syed Ather Enam; Uvais Qidwai
Journal:  Surg Neurol Int       Date:  2011-02-26
  4 in total

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