Comprehensive small animal imaging strategies on a clinical 3 T dedicated head MR-scanner; adapted methods and

Deepu R Pillai1, Robin M Heidemann, Praveen Kumar

  • 1Department of Neurology, Regensburg University Medical Centre, Regensburg, Germany.

Plos One
|February 18, 2011
PubMed
Abstract

Insights

This study optimized a clinical MRI scanner for small animal central nervous system imaging. Customized protocols enabled high-quality visualization of rodent brain and spinal cord pathologies, including tumors and injuries.

Area of Science:

  • Biomedical Imaging
  • Pre-clinical Research
  • Neuroscience

Background:

  • Small animal models are crucial for studying human diseases and require longitudinal monitoring.
  • Dynamic pathologies necessitate advanced imaging systems with high temporal and spatial resolution.
  • Developing such monitoring systems is essential for understanding disease progression and treatment efficacy.

Purpose of the Study:

  • To configure and optimize a clinical 3 Tesla magnetic resonance scanner for small animal central nervous system (CNS) imaging.
  • To develop and validate advanced imaging protocols for preclinical research.
  • To demonstrate the utility of a modified clinical scanner for characterizing various rodent CNS pathologies.

Main Methods:

  • Utilized a clinical 3 Tesla MRI scanner equipped with a custom 4-channel phased array coil.
  • Performed extensive modifications to standard MRI sequence protocols based on tissue relaxometric calculations.
  • Employed parallel imaging reconstruction algorithms and contrast agents for enhanced image acquisition.
  • Validated imaging protocols by phenotyping healthy rodent brains and characterizing induced pathologies.

Main Results:

  • Achieved statistically significant differentiation of gray and white matter in rodent spinal cords.
  • Successfully characterized acute cerebral ischemia, including blood-brain-barrier changes and intra-cerebral hemorrhage.
  • Adequately visualized two models of rodent spinal cord injury, correlating with histological findings.
  • Demonstrated unequivocal results in a mouse model of glioblastoma, showcasing the system's versatility.

Conclusions:

  • Implemented hardware and software customizations yield high-diagnostic-quality images in small animals.
  • A modified clinical MRI scanner can effectively support advanced small animal imaging studies.
  • Dedicated animal scanners are not strictly necessary for high-quality preclinical CNS research.

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