A monotonie image-space algorithm for joint PET image reconstruction and motion estimation

Guobao Wang, Jinyi Qi

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

1 Citation (Scopus)

Abstract

Motion compensation in PET imaging has become more and more important for obtaining high-resolution images. PET emission image and patient motion can be estimated simultaneously from gated data through a joint estimation framework. The resulting optimization problem, however, is challenging to solve. We propose an efficient algorithm for joint estimation by using the optimization transfer with the expectation maximization (EM) surrogate function. Each iteration of the algorithm consists of three separable steps: a gated image reconstruction by the EM update, motion estimation by image registration and image fusion with motion compensation. This algorithm resembles an empirical image-space approach, but guarantees to converge monotonically. Results from a computer simulation showed the proposed algorithm is faster than an existing monotonic gradient algorithm and is more stable than its nonmonotonic variant.

Original languageEnglish (US)
Title of host publication2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467398626
DOIs
StatePublished - Oct 3 2016
Event2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 - San Diego, United States
Duration: Oct 31 2015Nov 7 2015

Other

Other2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
CountryUnited States
CitySan Diego
Period10/31/1511/7/15

Fingerprint

Computer-Assisted Image Processing
Motion estimation
image reconstruction
Image reconstruction
Joints
Motion compensation
optimization
Image fusion
Image registration
Image resolution
Computer Simulation
iteration
computerized simulation
fusion
Imaging techniques
gradients
high resolution
Computer simulation

ASJC Scopus subject areas

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

Cite this

Wang, G., & Qi, J. (2016). A monotonie image-space algorithm for joint PET image reconstruction and motion estimation. In 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 [7582251] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2015.7582251

A monotonie image-space algorithm for joint PET image reconstruction and motion estimation. / Wang, Guobao; Qi, Jinyi.

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7582251.

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

Wang, G & Qi, J 2016, A monotonie image-space algorithm for joint PET image reconstruction and motion estimation. in 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015., 7582251, Institute of Electrical and Electronics Engineers Inc., 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015, San Diego, United States, 10/31/15. https://doi.org/10.1109/NSSMIC.2015.7582251
Wang G, Qi J. A monotonie image-space algorithm for joint PET image reconstruction and motion estimation. In 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7582251 https://doi.org/10.1109/NSSMIC.2015.7582251
Wang, Guobao ; Qi, Jinyi. / A monotonie image-space algorithm for joint PET image reconstruction and motion estimation. 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015. Institute of Electrical and Electronics Engineers Inc., 2016.
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