Research Program Overview

Working with Sheng-Kwei Song, PhD, we are employing Diffusion Basis Spectrum Imaging (DBSI) to detect spinal cord injuries that are not visible with traditional imaging methods. DBSI offers a detailed view of the spinal cord’s internal structure, identifying tissue damage and inflammation types. This technique is crucial for uncovering hidden injuries, providing critical information for early intervention, and potentially improving patient outcomes.

DBSI allows imaging with higher specificity for injury compared to conventional MRI and DTI techniques. Our team is currently validating prior research efforts conducted in mice to humans, building upon the foundational work conducted in the Song Lab. This advanced imaging approach represents a significant advancement in our ability to detect and characterize occult neurological injuries in spine trauma patients.

Primary Research Areas

• Occult spinal cord injury detection
• Advanced diffusion MRI techniques
• Tissue damage characterization
• Inflammation type identification
• Early intervention biomarkers
• Comparative imaging analysis (DBSI vs DTI)
• Translational research from mouse to human
• Non-restricted fraction analysis
• Restricted fraction quantification
• Fiber fraction assessment

Research Methodology

Our research program utilizes state-of-the-art DBSI imaging protocols to quantify different tissue components including non-restricted, restricted, and fiber fractions. We employ advanced image processing techniques to analyze DBSI metrics including apparent diffusion coefficients and fractional anisotropy measurements that provide detailed insights into tissue microstructure.

The methodology includes comprehensive validation studies comparing DBSI findings with conventional MRI and DTI imaging, histological correlation studies, and longitudinal tracking of injury progression. We collaborate with the Song Lab to translate proven mouse model techniques to human clinical applications, ensuring robust scientific validation of our imaging protocols.

Current Initiatives

Human Translation Study: Validation of DBSI techniques previously proven in mouse models for detection of occult spinal cord injuries in human patients with spine trauma.

Longitudinal Injury Tracking: Development of DBSI protocols to monitor injury progression and healing over time, enabling better prediction of patient outcomes and treatment response.

Clinical Implementation Program: Integration of DBSI imaging into routine clinical workflows for spine trauma patients to improve diagnostic accuracy and treatment planning.