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Related Concept Videos

Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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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.
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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.
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Curvilinear Motion: Rectangular Components01:23

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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.
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Relative Motion Analysis using Rotating Axes - Acceleration01:22

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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. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
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Absolute Motion Analysis- General Plane Motion01:24

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Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
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A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
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Related Experiment Video

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Movement Retraining using Real-time Feedback of Performance
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Reverse retrospective motion correction.

Benjamin Zahneisen1,2, Brian Keating1, Aditya Singh1

  • 1University of Hawaii, Department of Medicine, John A. Burns School of Medicine, Honolulu, Hawaii, USA.

Magnetic Resonance in Medicine
|July 4, 2015
PubMed
Summary
This summary is machine-generated.

Prospective motion correction (PMC) in MRI can be undone with reverse retrospective reconstruction. This method allows comparison of corrected and uncorrected scans and artifact removal from corrupted scans.

Keywords:
optical trackingprospective motion correctionretrospective motion correctiontracking errors

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Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging (MRI)

Background:

  • Prospective motion correction (PMC) is crucial for minimizing motion artifacts in MRI.
  • Direct interference with imaging sequences poses a challenge for clinical PMC implementation.

Purpose of the Study:

  • To demonstrate a method for reconstructing "de-corrected" images from scans with PMC enabled.
  • To show how images would appear without PMC, enabling direct comparison and artifact analysis.

Main Methods:

  • Utilizing reverse retrospective reconstruction based on the inverse of the transformation matrix used for real-time gradient feedback.
  • Employing a generalized SENSE approach for retrospective reconstruction.
  • Monitoring head motion with a single-marker optical camera system.

Main Results:

  • Successfully demonstrated reverse retrospective reconstruction for 3D scans using MPRAGE sequences.
  • Achieved near-perfect reversal of PMC effects, yielding a dataset without motion correction.
  • Showcased the ability to eliminate artifacts caused by erroneous PMC feedback.

Conclusions:

  • Reverse retrospective reconstruction effectively undoes PMC effects, providing uncorrected image data.
  • This technique facilitates direct quality comparison between corrected and uncorrected scans.
  • It offers a means to correct artifacts arising from faulty PMC feedback during MRI acquisition.