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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.
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...
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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.
Time differentiation is...
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Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

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A slider-crank mechanism 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. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
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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.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

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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

Curvilinear Motion: Rectangular Components

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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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Sequence-agnostic motion-correction leveraging efficiently calibrated Pilot Tone signals.

Yannick Brackenier1,2, Lucilio Cordero-Grande1,2,3, Sarah McElroy1,2,4

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This study introduces a new method for motion-corrected brain MRI using Pilot Tone (PT) signals. The distributed motion calibration (DMC) protocol improves image quality by accurately correcting patient movement during scans.

Keywords:
Pilot Tone (PT)motion correctionparallel imagingreconstructionultrahigh field

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Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Magnetic Resonance Imaging

Background:

  • Patient motion is a significant challenge in brain MRI, leading to image artifacts and reduced diagnostic accuracy.
  • Existing motion correction techniques can be complex, time-consuming, or require specialized hardware.
  • Pilot Tone (PT) signals offer a cost-effective and workflow-friendly approach to external motion sensing in MRI.

Purpose of the Study:

  • To develop and validate a robust calibration pipeline for externally generated Pilot Tone (PT) signals for motion-corrected brain MRI.
  • To implement a distributed motion calibration (DMC) protocol to capture and correct patient motion throughout an MRI examination.
  • To enable motion correction for MRI sequences with arbitrary k-space sampling and image contrast.

Main Methods:

  • Calibrated PT signals to rigid motion parameters using short (approx. 4s) motion calibration (MC) acquisitions.
  • Employed self-navigated trajectories for MC acquisitions to enable state-of-the-art motion estimation.
  • Utilized distributed motion calibration (DMC) by distributing MC scans across the entire examination for comprehensive motion capture.
  • Developed a data-driven calibration refinement to personalize calibration models.
  • Validated the DMC protocol in vivo on 12 healthy volunteers using MPRAGE and SPACE sequences.

Main Results:

  • The proposed calibration pipeline accurately produced pose parameters, even with only six 4-s MC blocks (22s total acquisition time).
  • In vivo experiments demonstrated significantly improved motion correction (p < 0.05) with increased signal-to-residual ratio for MPRAGE and SPACE sequences.
  • The benefits of the distributed calibration approach were evident, particularly in correcting large patient motion.
  • The method proved effective for MRI sequences with standard k-space acquisition.

Conclusions:

  • A novel framework for motion-corrected brain MRI using PT signals was presented, applicable to sequences with arbitrary k-space encoding and contrast.
  • The introduced DMC protocol provides a practical calibration pipeline suitable for clinical deployment.
  • The study successfully demonstrated the application of the DMC protocol in standard volumetric MPRAGE and SPACE sequences, enhancing image quality and robustness to motion.