Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Practical aspects of a data-driven motion correction approach for brain SPECT.

Andre Z Kyme1, Brian F Hutton, Rochelle L Hatton

  • 1Diagnostic Physics Group, Department of Nuclear Medicine and Ultrasound, Westmead Hospital, Sydney, NSW 2145, Australia. nak@imag.wsahs.nsw.gov.au

IEEE Transactions on Medical Imaging
|July 23, 2003
PubMed
Summary

A new algorithm effectively reduces motion artifacts in single photon emission computed tomography (SPECT) imaging. This data-driven approach accurately estimates patient head movement, improving 3-D reconstruction and enabling clinical validation.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Stroop task and practice effects demonstrate cognitive dysfunction in long COVID and myalgic encephalomyelitis / chronic fatigue syndrome.

Scientific reports·2024
Same author

Safety, feasibility, and acceptability of a novel device to monitor ischaemic stroke patients.

Journal of medical engineering & technology·2024
Same author

Integration of advanced 3D SPECT modelling for pinhole collimators into the open-source STIR framework.

Frontiers in nuclear medicine·2024
Same author

Corrigendum: Virtual cylindrical PET for efficient DOI image reconstruction with sub-millimetre resolution (2024<i>Phys. Med. Biol.</i>69 115043).

Physics in medicine and biology·2024
Same author

A deep neural network for positioning and inter-crystal scatter identification in multiplexed PET detectors: a simulation study.

Physics in medicine and biology·2024
Same author

Virtual cylindrical PET for efficient DOI image reconstruction with sub-millimetre resolution.

Physics in medicine and biology·2024

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Image Reconstruction

Background:

  • Patient motion during SPECT scans introduces image artifacts, compromising diagnostic accuracy.
  • Existing restraining measures are often insufficient to prevent motion-related distortions.

Purpose of the Study:

  • To develop and evaluate a data-driven method for detecting and correcting patient motion in SPECT imaging.
  • To improve the accuracy of three-dimensional (3-D) reconstruction by incorporating motion-corrected data.

Main Methods:

  • Utilized digital (Hoffman brain phantom) and physical phantom data simulating various head movements.
  • Employed a motion correction algorithm comparing acquired data with forward projections.
  • Assessed artifact reduction visually and quantitatively using Mean Registration Error (MRE) and Mean Square Difference (MSD).

Related Experiment Videos

Main Results:

  • The algorithm significantly reduced artifacts and distortions in motion-corrupted SPECT data.
  • Simulated data showed MRE values within 1 pixel (4.4 mm), with common MSD improvements (>2).
  • Attenuation correction was found unnecessary, simplifying implementation and doubling efficiency; most errors were corrected in a single iteration.

Conclusions:

  • The study provides a foundation for a clinical implementation protocol for this motion correction technique.
  • The developed method demonstrates potential for enhancing SPECT image quality and diagnostic reliability.