Solving Multi Objective Linear Programming Problems Using Intuitionistic Fuzzy Optimization Method: A Comparative Study

  • Bharati S
  • Singh S
N/ACitations
Citations of this article
20Readers
Mendeley users who have this article in their library.

Abstract

[en] OBJECTIVE: To correlate high-resolution magnetic resonance imaging (MRI) with immunohistopathology in the injured human spinal cord. METHODS: Postmortem MRI scans at a field strength of 9.4 T, as well as standard histology and immunohistochemistry, were performed on an excised specimen of human high thoracic spinal cord, obtained 7 months after the initial trauma, several segments below a severe spinal cord lesion (C5). RESULTS: A precise correlation is described between MRI and immunohistochemistry of the long white matter tracts undergoing Wallerian degeneration and of an extension of the cervical lesion into the high thoracic cord. CONCLUSION: MRI, the only imaging technique that currently provides useful information on the spinal cord parenchyma after trauma, is rapidly evolving. High-field scanners of up to 9.4 T are being clinically tested. The present postmortem investigation of an isolated spinal cord specimen demonstrates the precise correlation that can be achieved between imaging and pathology. In future investigations, this type of technique can lead to a more precise description of spinal cord injuries and their consequences in remote tissue. Translation into the clinical setting will improve diagnosis and follow-up of spinal cord injured patients.

Cite

CITATION STYLE

APA

Bharati, S. K., & Singh, S. R. (2014). Solving Multi Objective Linear Programming Problems Using Intuitionistic Fuzzy Optimization Method: A Comparative Study. International Journal of Modeling and Optimization, 4(1), 10–16. https://doi.org/10.7763/ijmo.2014.v4.339

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free