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Related Concept Videos

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 - Velocity01:24

Relative Motion Analysis - Velocity

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.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
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...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

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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Related Experiment Video

Updated: Jul 7, 2026

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

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Published on: January 7, 2021

Translational motion compensation for coronary angiogram sequences.

Q X Wu1, P J Bones, R T Bates

  • 1Dept. of Electr. and Electron. Eng., Canterbury Univ., Christchurch.

IEEE Transactions on Medical Imaging
|January 1, 1989
PubMed
Summary

This study presents a novel method to reduce video camera lag in angiographic systems. By using weighted subtraction and image superposition, the technique enhances signal-to-noise ratio for clearer X-ray imaging.

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Area of Science:

  • Medical Imaging
  • Image Processing
  • Biomedical Engineering

Background:

  • Angiographic systems often suffer from video camera lag, degrading image quality.
  • Lag effects in digitized X-ray images can obscure critical details in coronary angiography.
  • Existing lag compensation methods may increase image noise.

Purpose of the Study:

  • To develop and validate a method for compensating video camera lag in angiographic X-ray image sequences.
  • To improve the signal-to-noise ratio in lag-corrected angiographic images.
  • To accurately measure the shift of coronary arterial structures.

Main Methods:

  • A weighted subtraction method is employed to reduce lag.
  • Image superposition is used to restore the signal-to-noise ratio.
  • Phase-correlation algorithm, utilizing Fourier transforms, measures 2D shifts of arterial structures within an area of interest (AOI).

Main Results:

  • The proposed method effectively compensates for video camera lag.
  • Superimposing lag-corrected images restores the signal-to-noise ratio.
  • The phase-correlation technique accurately estimates the shift of coronary arteries.

Conclusions:

  • The developed algorithm offers an effective solution for lag compensation in angiographic systems.
  • This method enhances the diagnostic quality of X-ray images by reducing lag and noise.
  • Accurate measurement of arterial shifts is crucial for clinical significance in angiography.