Direct 4d reconstruction of parametric images incorporating anato-functional joint entropy

Jing Tang, Hiroto Kuwabara, Dean Foster Wong, Arman Rahmim

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

Abstract

We developed a closed-form 40 algorithm to directly reconstruct parametric images as obtained using the Patlak graphical method for (nearly) irreversible tracers. Conventional methods consist of individually reconstructing 20/30 PET data, followed by graphical analysis on the sequence of reconstructed images. The proposed approach maintains the simplicity and accuracy of the EM algorithm by extending the system matrix to include the relation between the parametric images and the measured data. The proposed technique achieves a closed-form solution by utilizing a different hidden complete-data formulation within the EM framework. Additionally, the method is extended to maximum a posterior (MAP) reconstruction via incorporating MR image information, with the joint entropy between the MR and parametric PET features. AParzen window method was used to estimate the joint probability density of the MR and parametric PET images. Using realistic simulated [llC]-Naitrindole PET and MR brain images/data, the quantitative performance of the proposed methods was investigated. Significant improvements in terms of noise vs. bias performance have been achieved, when performing direct parametric reconstruction, and additionally when extending the algorithm to its Bayesian counter-part using MR-PET join entropy.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium Conference Record
Pages5471-5474
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008 - Dresden, Germany
Duration: Oct 19 2008Oct 25 2008

Other

Other2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008
CountryGermany
CityDresden
Period10/19/0810/25/08

Fingerprint

Computer-Assisted Image Processing
Entropy
Joints
entropy
Sequence Analysis
Noise
brain
tracers
counters
Brain
formulations
estimates
matrices

Keywords

  • 40 PET reconstruction
  • Anato-functional joint entropy
  • Parametric image estimation

ASJC Scopus subject areas

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

Cite this

Tang, J., Kuwabara, H., Wong, D. F., & Rahmim, A. (2008). Direct 4d reconstruction of parametric images incorporating anato-functional joint entropy. In IEEE Nuclear Science Symposium Conference Record (pp. 5471-5474). [4774491] https://doi.org/10.1109/NSSMIC.2008.4774491

Direct 4d reconstruction of parametric images incorporating anato-functional joint entropy. / Tang, Jing; Kuwabara, Hiroto; Wong, Dean Foster; Rahmim, Arman.

IEEE Nuclear Science Symposium Conference Record. 2008. p. 5471-5474 4774491.

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

Tang, J, Kuwabara, H, Wong, DF & Rahmim, A 2008, Direct 4d reconstruction of parametric images incorporating anato-functional joint entropy. in IEEE Nuclear Science Symposium Conference Record., 4774491, pp. 5471-5474, 2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008, Dresden, Germany, 10/19/08. https://doi.org/10.1109/NSSMIC.2008.4774491
Tang, Jing ; Kuwabara, Hiroto ; Wong, Dean Foster ; Rahmim, Arman. / Direct 4d reconstruction of parametric images incorporating anato-functional joint entropy. IEEE Nuclear Science Symposium Conference Record. 2008. pp. 5471-5474
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