Ultrasound-guided real-time spinal motion visualization for spinal instability assessment

Area of Science:

• Medical imaging
• Biomechanical engineering
• Spinal diagnostics

Background:

• Spinal instability significantly impacts patient quality of life, causing pain and mobility issues.
• Current diagnostic methods like dynamic X-ray provide limited 2D motion data.
• 3D imaging techniques (CT, CBCT) are not suitable for capturing dynamic spinal motion.

Purpose of the Study:

• To develop a system for real-time 3D spinal motion visualization.
• To minimize radiation exposure during spinal motion assessment.
• To provide a viable alternative to dynamic X-ray imaging for spinal instability diagnosis.

Main Methods:

• Utilized ultrasound as an auxiliary 3D imaging modality.
• Registered ultrasound volumes to preoperative cone beam computed tomography (CBCT) data.
• Employed a kinematic model and iterative closest point (ICP) algorithm for registration.
• Developed a real-time ultrasound motion tracking system for continuous 3D motion estimation.

Main Results:

• Evaluated the system on a 3D-printed lumbar spine phantom.
• Achieved a mean registration error of 1.941 ± 0.199 mm.
• Demonstrated a median interpolated spinal motion error of 2.01 ± 0.309 mm.

Conclusions:

• The robotic ultrasound framework enables radiation-reduced, real-time 3D spinal motion visualization.
• This technology presents a promising advancement over conventional dynamic X-ray imaging.
• Offers a new approach for assessing spinal instability with enhanced 3D motion data.