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Related Concept Videos

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...
Relative Motion Analysis - Acceleration01:10

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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...
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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Performance Evaluation of Deformable Image Registration Systems - SmartAdapt® and Velocity™.

M Anil Kumar1, Raghavendra Hajare1, Bhakti Dev Nath2

  • 1Department of Radiation Oncology, Homi Bhabha Cancer Hospital and Research Centre, Visakhapatnam, Andhra Pradesh, India.

Journal of Medical Physics
|August 12, 2024
PubMed
Summary

Commercial deformable image registration (DIR) systems, SmartAdapt® and Velocity™, were evaluated using Task Group 132 (TG-132) phantoms. Both systems show clinical utility, with Velocity™ offering slight advantages for soft tissue registration.

Keywords:
CommissioningSmartAdapt®deformable image registrationdigital phantom datasetsimage registration algorithmstask group 132validationvelocity™

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Area of Science:

  • Medical Physics
  • Radiotherapy
  • Image Analysis

Background:

  • Deformable image registration (DIR) is crucial for adaptive radiotherapy, enabling accurate target delineation and dose escalation.
  • Commercial DIR systems require rigorous validation against established benchmarks like Task Group 132 (TG-132) guidelines.

Purpose of the Study:

  • To commission and validate two commercial DIR systems, SmartAdapt® and Velocity™, using TG-132 digital phantom datasets.
  • To compare the DIR algorithm performance of SmartAdapt® and Velocity™.

Main Methods:

  • TG-132 digital phantoms were used for commissioning and validation of SmartAdapt® and Velocity™.
  • Registration accuracy was assessed using rigid and deformable registrations, comparing results against known shifts.
  • Dice Similarity Coefficient (DSC), Mean Distance to Agreement (MDA), and Jacobian determinant were used for evaluation.

Main Results:

  • Both systems met TG-132 criteria for translation-only registration, except for CT-PET. Translational and rotational registration failed TG-132 criteria for all modalities.
  • Velocity™ showed slightly better performance in soft tissue registration (parotids, bladder, rectum, prostate) compared to SmartAdapt®.
  • Both systems demonstrated comparable results for rigid structures like the mandible, spinal cord, and femoral heads.

Conclusions:

  • SmartAdapt® and Velocity™ DIR systems are suitable for clinical applications.
  • While minor differences exist, Velocity™ demonstrated a slight advantage in soft tissue registration accuracy.
  • Further validation with clinical data is recommended for comprehensive assessment.