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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...
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.
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 drone...
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

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...
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

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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Related Experiment Video

Updated: May 24, 2026

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

Registration-weighted motion correction for PET.

Nikolaos Dikaios1, Tim D Fryer

  • 1Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.

Medical Physics
|March 3, 2012
PubMed
Summary
This summary is machine-generated.

Registration weighting significantly improves lesion contrast-to-noise ratio (CNR) in positron emission tomography (PET) scans. This technique enhances image quality by optimizing motion correction, particularly for postreconstruction registration (PRR) methods.

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Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Image Reconstruction

Background:

  • Patient motion during positron emission tomography (PET) scans degrades image resolution and quality.
  • Respiratory motion is a primary concern in torso PET imaging.
  • Standard motion correction techniques like postreconstruction registration (PRR) and motion-compensated image reconstruction (MCIR) use equal weighting for respiratory-gated data.

Purpose of the Study:

  • To investigate the efficacy of registration-based weighting compared to standard equal weighting in PRR and MCIR.
  • To determine if penalizing poorly registered respiratory gates improves image quality.
  • To assess the impact of registration weighting on lesion detectability in PET scans.

Main Methods:

  • Simulated PET data using the NCAT phantom with added lung and liver lesions.
  • Reconstruction using registration-weighted PRR and MCIR algorithms.
  • Registration weights based on mutual information (MI) between respiratory gates and a reference gate.
  • A scale factor was used to adjust weight ranges, with PRR and MCIR images generated across various scale factor values.

Main Results:

  • Registration-weighted PRR significantly increased lesion contrast-to-noise ratio (CNR) compared to standard PRR.
  • Average lesion CNR improved from 2.10±0.05 to 2.70±0.06 (3 mm postsmoothing) and 2.03±0.06 to 2.77±0.05 (6 mm postsmoothing) with registration weighting.
  • Registration-weighted MCIR also showed significant CNR improvements, from 2.38±0.04 to 2.62±0.07 (3 mm) and 2.56±0.05 to 2.84±0.08 (6 mm).
  • These CNR gains were achieved despite expected reductions in signal-to-noise ratio due to unequal weighting.

Conclusions:

  • Registration weighting is a valuable technique for enhancing lesion CNR in motion-corrected PET images.
  • The benefits of registration weighting are particularly pronounced in PRR.
  • This method offers a significant improvement in image quality for lesion detection in PET imaging.