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Related Concept Videos

General Structure of a Vertebra01:30

General Structure of a Vertebra

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A typical vertebra, with the exception of the sacrum and coccyx, consists of a body, a vertebral arch, and seven different projections termed processes. The anterior portion of the vertebrae, the body, supports about half the body’s weight. The vertebral bodies progressively increase in size and thickness from the cervical region to the lumbar region of the vertebral column. The intervertebral discs present between the bodies of adjacent vertebrae firmly unites them, forming a continuous...
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The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
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The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
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The vertebral column or spine is a flexible column that supports the head, neck, and body and  allows for their movements. It also protects the spinal cord.
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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
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Related Experiment Video

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Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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Automatic labeling of vertebral levels using a robust template-based approach.

Eugénie Ullmann1, Jean François Pelletier Paquette1, William E Thong1

  • 1Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada H3T 1J4.

International Journal of Biomedical Imaging
|August 19, 2014
PubMed
Summary

This study introduces a robust, automated method for labeling vertebral levels in spinal cord MRI scans, improving accuracy and reducing bias in white matter integrity analysis. The freely available tool enhances neuroimaging research by overcoming limitations of manual and existing automatic techniques.

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Area of Science:

  • Neuroimaging
  • Medical Image Analysis
  • Spinal Cord Imaging

Background:

  • Spinal cord MRI provides biomarkers for white matter integrity and neuronal function.
  • Manual vertebral labeling is time-consuming and user-dependent.
  • Existing automatic methods lack robustness to image contrast and artifacts.

Purpose of the Study:

  • To develop and validate a robust, automated method for vertebral level labeling in spinal cord MRI.
  • To improve the efficiency and reliability of spinal cord image processing.
  • To address limitations of current manual and automatic labeling techniques.

Main Methods:

  • Intervertebral disks detected via 3D intensity profile analysis.
  • Robustness enhanced using a template of vertebral distances from a training dataset.
  • Validated on T1- and T2-weighted images in healthy subjects and a spinal cord injury patient.

Main Results:

  • Achieved 100% accuracy in vertebral labeling.
  • Mean absolute error of 2.1 ± 1.7 mm (T2-weighted) and 2.3 ± 1.6 mm (T1-weighted).
  • Correctly labeled vertebrae in a patient with artifacts from metallic implants.

Conclusions:

  • A template-based method offers robust vertebral level labeling for spinal cord MRI across T1- and T2-weighted contrasts.
  • The developed method is freely available within the Spinal Cord Toolbox.
  • This automation enhances the analysis of spinal cord biomarkers.