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Image correction for diffusion tensor imaging of Rhesus monkey thoracic spinal cord. | LitMetric

Image correction for diffusion tensor imaging of Rhesus monkey thoracic spinal cord.

J Med Primatol

Beijing Key Laboratory for Biomaterials and Neural Regeneration, Department of Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.

Published: December 2019

AI Article Synopsis

  • The study focuses on improving diffusion tensor imaging (DTI) in non-human primates (NHP) due to challenges posed by their small spinal cords.
  • A new correction method combines multiple iterations and non-rigid deformation to enhance the accuracy of DTI image post-processing.
  • Results show that the correction significantly reduces distortion and confirms that spinal cord injury affects fractional anisotropy, enhancing research on spinal cord injuries.

Article Abstract

Background: The relatively tiny spinal cord of non-human primate (NHP) causes increased challenge in diffusion tensor imaging (DTI) post-processing. This study aimed to establish a reliable correction strategy applied to clinical DTI images of NHP.

Methods: Six normal and partial spinal cord injury (SCI) rhesus monkeys underwent 3T MR scanning. A correction strategy combining multiple iterations and non-rigid deformation was used for DTI image post-processing. Quantitative evaluations were then conducted to investigate effects of distortion correction.

Results: After correction, longitudinal geometric distortion, global distortion, and residual distance errors were all significantly decreased (P < 0.05). Fractional anisotropy at the injured site was remarkably lower than that at the contralateral site (P = 0.0488) and was substantially lower than those at the adjacent superior (P = 0.0157) and inferior (P = 0.0128) areas at the same side.

Conclusions: Our image correction strategy can improve the quality of the DTI images of NHP thoracic cords, contributing to the development of SCI preclinical research.

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Source
http://dx.doi.org/10.1111/jmp.12422DOI Listing

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