Related Experiment Video
Updated: Aug 14, 2026

Mouse Lumbar Vertebra Uniaxial Compression Testing with Embedding of the Loading Surface
Published on: December 1, 2023
Calculating the 2D motion of lumbar vertebrae using splines
Brendan McCane1, Tamara I King, J Haxby Abbott
1Department of Computer Science, University of Otago, Box 56, Dunedin, New Zealand. mccane@cs.otago.ac.nz
This study introduces splines and the Iterative Closest Point (ICP) method for precise 3D shape registration. The technique accurately estimates lumbar spine rotation and FCR, outperforming existing methods.
Area of Science:
- Biomechanics
- Medical Imaging
- Computer Vision
Background:
- Accurate 3D shape registration is crucial for analyzing rigid body motion.
- Existing methods for calculating transformation parameters have limitations in precision and efficiency.
Purpose of the Study:
- To investigate the efficacy of splines and the ICP method for calculating transformation parameters in planar motion.
- To estimate the finite center of rotation (FCR) and angle of rotation from lumbar spine radiographs.
Main Methods:
- Utilized splines to represent planar shapes and the ICP algorithm for shape registration.
- Applied the method to lateral flexion/extension radiographs of the lumbar spine.
- Conducted an in vitro error study to assess accuracy.
Main Results:
- The spline and ICP method achieved an average rotational error of 0.44 +/- 0.45 degrees.
- Average error in FCR calculation was 7.6 +/- 8.5 mm.
- Demonstrated superiority over existing methods like Crisco et al. and Brinckmann et al.
Conclusions:
- Splines offer a superior representation of planar shapes compared to digitized curves or landmarks due to compactness and sub-pixel accuracy.
- The ICP algorithm provides a well-defined method for registering spline-represented shapes.
- The developed application offers an efficient tool for these computations.
Related Concept Videos
Curvilinear Motion: Rectangular Components
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the time...
Vertebral Column: Regions and Curvature
Regions of the Vertebral Column
In an adult, the spine is subdivided into five regions: the cervical, the thoracic, the lumbar, the sacral, and the coccygeal region. The spine initially develops as a series of 33 vertebrae; after 20 years of age, the nine bones in the sacral region, five sacral, and four coccygeal bones fuse to form the...
Curvilinear Motion: Normal and Tangential Components
The positive direction of the t-axis aligns with the increasing position of the car along the curved path, denoted by the unit vector ut. Simultaneously, the n-axis, perpendicular to the t-axis, dissects the curved path into differential arc segments, each forming the arc of a circle with a radius of...
Relative Motion Analysis using Rotating Axes-Problem Solving
Here, in order to determine the magnitude of velocity and acceleration for point...
Curvilinear Motion: Polar Coordinates
The particle's location is described using a unit vector along the radial direction. Deriving the particle's position with respect to time...
Relative Motion Analysis - Velocity
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
