Performance evaluation of a particle filter framework for respiratory motion estimation in Nuclear Medicine imaging

Ashrani Aizzuddin Abd Rahni, E. Lewis, M. J. Guy, B. Goswami, K. Wells

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

With the continual improvement in spatial resolution of Nuclear Medicine (NM) scanners, it has become increasingly important to accurately compensate for patient motion during acquisition. Respiratory motion produced by lung ventilation is a major source of artefacts in NM that can affect large parts of the abdominal-thoracic cavity. As such, a particle filter (PF) is proposed as a powerful method for motion correction in NM imaging. This paper explores a basic PF approach and demonstrates that it is possible to estimate non-stationary motion using a single respiratory cycle as training data. Using the XCAT phantom, 7 test datasets that vary in depth and rate of respiration were generated. The results using these datasets show that the PF has an average Euclidean distance error over all voxels of only 1.7 mm, about half of the typical dimensions of an NM voxel for clinical applications. The conclusion is that use of the PF is promising, and can be adapted to handle more sophisticated data such as those that arise in clinical situations.

Original languageEnglish
Title of host publicationIEEE Nuclear Science Symposium Conference Record
Pages2676-2680
Number of pages5
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010 - Knoxville, TN
Duration: 30 Oct 20106 Nov 2010

Other

Other2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010
CityKnoxville, TN
Period30/10/106/11/10

Fingerprint

nuclear medicine
Nuclear Medicine
filters
evaluation
Thoracic Cavity
Abdominal Cavity
ventilation
respiration
Respiratory Rate
lungs
Artifacts
scanners
Ventilation
artifacts
acquisition
education
spatial resolution
Lung
cavities
cycles

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

Cite this

Abd Rahni, A. A., Lewis, E., Guy, M. J., Goswami, B., & Wells, K. (2010). Performance evaluation of a particle filter framework for respiratory motion estimation in Nuclear Medicine imaging. In IEEE Nuclear Science Symposium Conference Record (pp. 2676-2680). [5874276] https://doi.org/10.1109/NSSMIC.2010.5874276

Performance evaluation of a particle filter framework for respiratory motion estimation in Nuclear Medicine imaging. / Abd Rahni, Ashrani Aizzuddin; Lewis, E.; Guy, M. J.; Goswami, B.; Wells, K.

IEEE Nuclear Science Symposium Conference Record. 2010. p. 2676-2680 5874276.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abd Rahni, AA, Lewis, E, Guy, MJ, Goswami, B & Wells, K 2010, Performance evaluation of a particle filter framework for respiratory motion estimation in Nuclear Medicine imaging. in IEEE Nuclear Science Symposium Conference Record., 5874276, pp. 2676-2680, 2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010, Knoxville, TN, 30/10/10. https://doi.org/10.1109/NSSMIC.2010.5874276
Abd Rahni AA, Lewis E, Guy MJ, Goswami B, Wells K. Performance evaluation of a particle filter framework for respiratory motion estimation in Nuclear Medicine imaging. In IEEE Nuclear Science Symposium Conference Record. 2010. p. 2676-2680. 5874276 https://doi.org/10.1109/NSSMIC.2010.5874276
Abd Rahni, Ashrani Aizzuddin ; Lewis, E. ; Guy, M. J. ; Goswami, B. ; Wells, K. / Performance evaluation of a particle filter framework for respiratory motion estimation in Nuclear Medicine imaging. IEEE Nuclear Science Symposium Conference Record. 2010. pp. 2676-2680
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