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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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Assessment of Ventilation I: Respiratory Rate01:20

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Assessment of Ventilation
A Ventilation assessment is critical for monitoring a patient's health status. Respiration, one of the most accessible vital signs, provides insights into the function of numerous body systems and can indicate serious health issues, such as brainstem injuries from head trauma.
Critical Guidelines for Assessing Ventilation:
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Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

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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 using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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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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Related Experiment Video

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3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats
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Consistency-based respiratory motion estimation in rotational angiography.

Mathias Unberath1,2, André Aichert1, Stephan Achenbach3

  • 1Pattern Recognition Lab, Computer Science Department, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany.

Medical Physics
|September 14, 2017
PubMed
Summary

This study introduces a novel projection-domain method to compensate for respiratory and cardiac motion during rotational coronary angiography. The technique improves image quality by directly addressing motion artifacts without requiring initial 3D reconstructions.

Keywords:
cone-beam CTinpaintingmotion correctionvessel segmentation

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Area of Science:

  • Medical Imaging
  • Cardiovascular Imaging
  • Image Processing

Background:

  • Rotational coronary angiography (RCA) provides 3D reconstructions but is degraded by intra-scan cardiac and respiratory motion.
  • Current gating techniques address cardiac motion, but respiratory motion compensation remains a challenge.
  • Existing methods for respiratory motion compensation often rely on 3D-2D registration, which requires high-quality initial reconstructions.

Purpose of the Study:

  • To develop and validate a novel motion compensation method for RCA that operates directly in the projection domain.
  • To overcome the limitations of existing methods that depend on initial 3D reconstructions.
  • To provide a complementary approach to state-of-the-art motion compensation techniques.

Main Methods:

  • A virtual single-frame background subtraction technique using vessel segmentation and spectral deconvolution was employed to generate non-truncated images of the contrasted lumen.
  • Motion compensation was achieved by optimizing epipolar consistency to create an image-based surrogate for cardiac motion and to compensate for respiratory motion.
  • The method was validated using two numerical phantom studies and three clinical cases.

Main Results:

  • The image-based surrogate for cardiac motion demonstrated excellent correlation with ECG-based ground truth (Pearson correlation of 0.93 ± 0.04).
  • Motion compensation significantly reduced the target error measure by 98% and 69% in phantom experiments.
  • Clinical cases showed a substantial improvement in the figure of merit by 46 ± 21% after motion compensation.

Conclusions:

  • The proposed entirely image-based method accurately estimates craniocaudal shifts caused by respiration and cardiac contraction.
  • This approach offers a valuable alternative for motion compensation in RCA, particularly when initial reconstructions are of insufficient quality.
  • Future research will focus on exploring experimental trajectories and simplifying the single-frame subtraction pipeline.