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Related Concept Videos

Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

513
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...
513

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Related Experiment Video

Updated: Aug 27, 2025

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
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Motion Detection and Correction for Frame-Based Stereotactic Localization.

Mark Sedrak1, Patrick Pezeshkian2,3, David Purger4

  • 1Neurosurgery, Northern California Kaiser Permanente, Redwood City, USA.

Cureus
|September 30, 2022
PubMed
Summary
This summary is machine-generated.

Head motion during stereotactic localization imaging can cause artifacts, reducing surgical targeting accuracy. A new method using localizer fiducial information corrects these artifacts, improving accuracy to 0.1 mm.

Keywords:
cartesian coordinate systempreoperative localizationstereotactic and functionalstereotactic and functional neurosurgerystereotactic frame

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Image Reconstruction

Background:

  • Frame-based stereotactic localization is crucial for accurate surgical targeting.
  • Motion artifacts during imaging can compromise the precision of stereotactic localization.
  • Accurate localization is essential for minimizing errors in neurosurgical procedures.

Observation:

  • Pseudo-bending of straight rods was observed in stereotactic localizer scans with suspected motion.
  • Head motion during imaging acquisition degrades the accuracy of image reconstruction.
  • Digital Imaging and Communications in Medicine (DICOM) metadata relies on object stability for accurate slice-to-slice localization.

Findings:

  • Comparative analysis revealed significantly higher localization errors in scans with motion compared to scans without motion.
  • A novel correction method was developed using localizer fiducial-based information to reorient image pixels.
  • This reorientation technique successfully created a corrected localizer scan, mitigating pseudo-bending artifacts.

Implications:

  • The developed method can improve or recover accuracy lost due to motion during stereotactic localization.
  • Targeting accuracy was significantly enhanced, achieving a low error of 0.1 mm (+/- 0.1 mm) with the corrected scan.
  • Ensuring motion stability during all imaging for stereotactic surgery is critical for optimal procedural accuracy.