Development of a particle filter framework for respiratory motion correction in nuclear medicine imaging

Ashrani Aizzuddin Abd Rahni, Emma Lewis, Kevin Wells, Matthew Guy, Budhaditya Goswami

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

2 Citations (Scopus)

Abstract

This research aims to develop a methodological framework based on a data driven approach known as particle filters, often found in computer vision methods, to correct the effect of respiratory motion on Nuclear Medicine imaging data. Particles filters are a popular class of numerical methods for solving optimal estimation problems and we wish to use their flexibility to make an adaptive framework. In this work we use the particle filter for estimating the deformation of the internal organs of the human torso, represented by X, over a discrete time index k. The particle filter approximates the distribution of the deformation of internal organs by generating many propositions, called particles. The posterior estimate is inferred from an observation Zk of the external torso surface. We demonstrate two preliminary approaches in tracking organ deformation. In the first approach, Xk represent a small set of organ surface points. In the second approach, Xk represent a set of affine organ registration parameters to a reference time index r. Both approaches are contrasted to a comparable technique using direct mapping to infer Xk from the observation Zk. Simulations of both approaches using the XCAT phantom suggest that the particle filter-based approaches, on average performs, better.

Original languageEnglish
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7623
EditionPART 1
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventMedical Imaging 2010: Image Processing - San Diego, CA
Duration: 14 Feb 201016 Feb 2010

Other

OtherMedical Imaging 2010: Image Processing
CitySan Diego, CA
Period14/2/1016/2/10

Fingerprint

Nuclear medicine
Torso
nuclear medicine
Nuclear Medicine
organs
Observation
Imaging techniques
filters
torso
Computer vision
Numerical methods
Research
computer vision
flexibility
estimating
estimates

Keywords

  • Nuclear Medicine Imaging
  • Particle Filter
  • Respiratory Motion Correction

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Abd Rahni, A. A., Lewis, E., Wells, K., Guy, M., & Goswami, B. (2010). Development of a particle filter framework for respiratory motion correction in nuclear medicine imaging. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (PART 1 ed., Vol. 7623). [76232D] https://doi.org/10.1117/12.844424

Development of a particle filter framework for respiratory motion correction in nuclear medicine imaging. / Abd Rahni, Ashrani Aizzuddin; Lewis, Emma; Wells, Kevin; Guy, Matthew; Goswami, Budhaditya.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7623 PART 1. ed. 2010. 76232D.

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

Abd Rahni, AA, Lewis, E, Wells, K, Guy, M & Goswami, B 2010, Development of a particle filter framework for respiratory motion correction in nuclear medicine imaging. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. PART 1 edn, vol. 7623, 76232D, Medical Imaging 2010: Image Processing, San Diego, CA, 14/2/10. https://doi.org/10.1117/12.844424
Abd Rahni AA, Lewis E, Wells K, Guy M, Goswami B. Development of a particle filter framework for respiratory motion correction in nuclear medicine imaging. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. PART 1 ed. Vol. 7623. 2010. 76232D https://doi.org/10.1117/12.844424
Abd Rahni, Ashrani Aizzuddin ; Lewis, Emma ; Wells, Kevin ; Guy, Matthew ; Goswami, Budhaditya. / Development of a particle filter framework for respiratory motion correction in nuclear medicine imaging. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7623 PART 1. ed. 2010.
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