AI Article Synopsis

  • Every year, new cases of traumatic spinal injuries are reported, and while advances in numerical models help understand the damage, the details of vertebral fracture formation and fragment propulsion are still unclear due to a lack of data.
  • Researchers addressed this gap by analyzing X-Ray images of animal specimens to develop a method for automatically detecting and tracking vertebral fractures using high-speed cine-radiography imaging.
  • The study demonstrated the effectiveness of this approach, providing valuable insights that could aid in the treatment and management of traumatic spinal injuries.

Article Abstract

Every year, new cases of individuals suffering from traumatic spinal injuries are detected. Advances in numerical models have allowed for the understanding of the damage caused by trauma and its impact on the patient's life. However, the kinematics and dynamics of vertebral fracture formation from its point of origin to the speed of propulsion of the fragments remain unknown. This is mainly due to the lack of data that essentially includes high-speed videos, load and displacement measurements during experimental tests reproducing spinal traumatic loading conditions. This lack of data can be addressed by the analysis of X-Ray images of animal specimens acquired during the traumatic spinal injury formation process. Thus, the purpose of this study was to develop an approach to automatically detect and track in vitro vertebral fractures using high-speed cine-radiography imaging. Four segments of porcine thoracolumbar vertebrae were dynamically compressed using a servo-hydraulic test bench. The compression process was filmed with a custom high-speed cine-radiography device, and the imaging parameters were optimized based on the physical properties of vertebrae. This paper demonstrates the feasibility of using high-speed cine-radiography imaging in this way, combined with an image processing pipeline to allow automatic documentation of the fracture's appearance and its evolution in the vertebra over time.Clinical Relevance- The proposed method will provide helpful information for proper handling of traumatic spinal injuries.

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Source
http://dx.doi.org/10.1109/EMBC40787.2023.10339973DOI Listing

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