Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Curvilinear Motion: Normal and Tangential Components01:27

Curvilinear Motion: Normal and Tangential Components

When a car traverses a curved road, its motion can be elucidated by breaking it down into tangential and normal components. The car-centric coordinates attached to the vehicle move with it.
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...
Gradient Fields01:27

Gradient Fields

A gradient field is a vector field derived from a scalar field. A scalar field assigns a single numerical value to every point in space, such as temperature, pressure, or electric potential. The gradient field describes how that value changes from point to point. It gives both the direction of the fastest increase and the rate of change in that direction.For a scalar field f(x, y), the gradient is written as\begin{equation*}\nabla f=\left\langle \jfrac{\partial f}{\partial x},\jfrac{\partial...
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the time...
Vertebral Column: Regions and Curvature01:16

Vertebral Column: Regions and Curvature

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.
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...
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Improved AI-Assisted Image Recognition of Cervical Spine Vertebrae Enables Motion Pattern Analysis in Dynamic X-Ray Recordings.

Bioengineering (Basel, Switzerland)·2026
Same author

[Lower back pain due to sacroiliac joint dysfunction].

Nederlands tijdschrift voor geneeskunde·2026
Same author

Assessing cervical intervertebral disc height on MRI and X-ray versus CT; a single center retrospective cohort study.

Brain & spine·2026
Same author

Cross-validation of two independent methods to analyze the sequence of segmental contributions in the cervical spine in extension cineradiographic recordings.

BMC musculoskeletal disorders·2025
Same author

Influence of Social Support on Patients' Adherence to Activity Advice in Low Back Pain: A Double-Blinded Randomised Controlled Trial.

Physiotherapy research international : the journal for researchers and clinicians in physical therapy·2025
Same author

Physiological Ageing of the Lumbar Intervertebral Disc Based on Magnetic Resonance Imaging, a Systematic Literature Review.

Medicina (Kaunas, Lithuania)·2025

Related Experiment Video

Updated: Jun 13, 2026

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

Cervical vertebrae tracking in video-fluoroscopy using the normalized gradient field.

Rianne Reinartz1, Bram Platel, Toon Boselie

  • 1Dept. of Biomed. Eng., Eindhoven University of Technology, The Netherlands.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|April 30, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method for tracking cervical vertebrae in fluoroscopy videos, significantly reducing analysis time for neck problem diagnostics. The fast and precise technique enhances diagnostic efficiency for spinal conditions.

More Related Videos

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
06:09

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

Published on: March 12, 2021

Non-fluoroscopic Catheter Tracking for Fluoroscopy Reduction in Interventional Electrophysiology
10:46

Non-fluoroscopic Catheter Tracking for Fluoroscopy Reduction in Interventional Electrophysiology

Published on: May 26, 2015

Related Experiment Videos

Last Updated: Jun 13, 2026

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
06:09

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

Published on: March 12, 2021

Non-fluoroscopic Catheter Tracking for Fluoroscopy Reduction in Interventional Electrophysiology
10:46

Non-fluoroscopic Catheter Tracking for Fluoroscopy Reduction in Interventional Electrophysiology

Published on: May 26, 2015

Area of Science:

  • Medical imaging
  • Biomechanics
  • Computer vision

Background:

  • Fluoroscopy videos of cervical spine flexion-extension offer valuable diagnostic data for neck problems.
  • Manual vertebrae extraction from these videos is time-consuming and labor-intensive for physicians.

Purpose of the Study:

  • To develop an automatic, fast, and precise method for tracking cervical vertebrae in flexion-extension fluoroscopy videos.
  • To overcome the limitations of manual analysis and existing automated methods.

Main Methods:

  • The proposed method utilizes a normalized gradient field, focusing on gradient orientations as features.
  • It requires only a rough selection of template areas for each vertebra in a single frame.
  • No contour extraction or vertebra segmentation is needed, simplifying the process.

Main Results:

  • The algorithm demonstrated robustness and accuracy in tracking cervical vertebrae.
  • Effective tracking was achieved even with partial occlusion or the presence of a disc prosthesis.

Conclusions:

  • The developed automated method offers a significant improvement for analyzing cervical spine movements.
  • It provides a fast, precise, and robust solution for tracking vertebrae, aiding in the diagnosis of neck problems.