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Spherical Coordinates01:23

Spherical Coordinates

Spherical coordinate systems are preferred over Cartesian, polar, or cylindrical coordinates for systems with spherical symmetry. For example, to describe the surface of a sphere, Cartesian coordinates require all three coordinates. On the other hand, the spherical coordinate system requires only one parameter: the sphere's radius. As a result, the complicated mathematical calculations become simple. Spherical coordinates are used in science and engineering applications like electric and...
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...
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
Curvilinear Motion: Polar Coordinates01:27

Curvilinear Motion: Polar Coordinates

In polar coordinates, the motion of a particle follows a curvilinear path. The radial coordinate symbolized as 'r,' extends outward from a fixed origin to the particle, while the angular coordinate, 'θ,' measured in radians, represents the counterclockwise angle between a fixed reference line and the radial line connecting the origin to the particle.
The particle's location is described using a unit vector along the radial direction. Deriving the particle's position with respect to time...
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...
Simple Harmonic Motion and Uniform Circular Motion01:42

Simple Harmonic Motion and Uniform Circular Motion

While simple harmonic motion and uniform circular motion may be two separate concepts, they correlate and interlink with each other. Simple harmonic motion is an oscillatory motion in a system where the net force can be described by Hooke's law, while uniform circular motion is the motion of an object in a circular path at constant speed.
There is an easy way to produce simple harmonic motion by using uniform circular motion. For instance, consider a ball attached to a uniformly rotating...

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Related Experiment Video

Updated: Jul 16, 2026

Harmonic Nanoparticles for Regenerative Research
09:23

Harmonic Nanoparticles for Regenerative Research

Published on: May 1, 2014

Spherical navigator registration using harmonic analysis for prospective motion correction.

C L Wyatt1, N Ari, R A Kraft

  • 1Virginia Tech, USA. clwyatt@vt.edu

Information Processing in Medical Imaging : Proceedings of the ... Conference
|March 16, 2007
PubMed
Summary

This study introduces a faster method for correcting patient motion during Magnetic Resonance Imaging scans using spherical navigators. The new algorithm improves prospective motion compensation efficiency.

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Last Updated: Jul 16, 2026

Harmonic Nanoparticles for Regenerative Research
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Harmonic Nanoparticles for Regenerative Research

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Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
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Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Computational Science

Background:

  • Spherical navigators offer rapid data acquisition for motion compensation in Magnetic Resonance Imaging (MRI).
  • Prospective motion correction requires fast estimation of rotational and translational parameters.
  • Existing methods for rotational motion estimation are computationally intensive and unsuitable for real-time prospective correction.

Purpose of the Study:

  • To develop and validate an efficient algorithm for rotational motion recovery from spherical navigators.
  • To enable faster prospective motion compensation in MRI.

Main Methods:

  • Decomposition of navigator magnitude using the spherical harmonic transform.
  • Formulation of rotational motion recovery as solving an over-constrained system of equations.
  • Comparison of the proposed algorithm with existing methods using simulated and real navigator data.

Main Results:

  • The proposed spherical harmonic-based algorithm significantly accelerates rotational motion estimation.
  • The algorithm demonstrates computational efficiency suitable for prospective motion correction.
  • Performance was validated against established methods in both simulated and actual MRI data.

Conclusions:

  • A computationally efficient algorithm for rotational motion recovery using spherical navigators has been developed.
  • This method is well-suited for prospective motion compensation in MRI due to its speed.
  • The spherical harmonic transform provides a robust framework for rapid motion parameter estimation.