Quantitative comparison of FBP, EM, and Bayesian reconstruction algorithms, including the impact of accurate system modeling, for the IndyPET scanner

Thomas Frese, Ned C. Rouze, Charles A. Bouman, Ken Sauer, Gary Hutchins

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

Abstract

We quantitatively compare filtered backprojection (FBP), expectation maximization (EM), and Bayesian reconstruction algorithms as applied to the IndyPET scanner, a small to intermediate field of view dedicated research scanner. A key feature of our investigation is the use of an empirical system kernel determined from scans of line source phantoms. This kernel is incorporated into the forward operator of EM and the Bayesian reconstruction algorithms. Our results indicate that, particularly when an accurate system kernel is used, Bayesian methods can significantly improve reconstruction quality over FBP and EM.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium and Medical Imaging Conference
Pages1806-1810
Number of pages5
Volume3
StatePublished - 2001
Externally publishedYes
Event2001 IEEE Nuclear Science Symposium Conference Record - San Diego, CA, United States
Duration: Nov 4 2001Nov 10 2001

Other

Other2001 IEEE Nuclear Science Symposium Conference Record
CountryUnited States
CitySan Diego, CA
Period11/4/0111/10/01

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Mathematical operators

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

Cite this

Frese, T., Rouze, N. C., Bouman, C. A., Sauer, K., & Hutchins, G. (2001). Quantitative comparison of FBP, EM, and Bayesian reconstruction algorithms, including the impact of accurate system modeling, for the IndyPET scanner. In IEEE Nuclear Science Symposium and Medical Imaging Conference (Vol. 3, pp. 1806-1810)

Quantitative comparison of FBP, EM, and Bayesian reconstruction algorithms, including the impact of accurate system modeling, for the IndyPET scanner. / Frese, Thomas; Rouze, Ned C.; Bouman, Charles A.; Sauer, Ken; Hutchins, Gary.

IEEE Nuclear Science Symposium and Medical Imaging Conference. Vol. 3 2001. p. 1806-1810.

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

Frese, T, Rouze, NC, Bouman, CA, Sauer, K & Hutchins, G 2001, Quantitative comparison of FBP, EM, and Bayesian reconstruction algorithms, including the impact of accurate system modeling, for the IndyPET scanner. in IEEE Nuclear Science Symposium and Medical Imaging Conference. vol. 3, pp. 1806-1810, 2001 IEEE Nuclear Science Symposium Conference Record, San Diego, CA, United States, 11/4/01.
Frese T, Rouze NC, Bouman CA, Sauer K, Hutchins G. Quantitative comparison of FBP, EM, and Bayesian reconstruction algorithms, including the impact of accurate system modeling, for the IndyPET scanner. In IEEE Nuclear Science Symposium and Medical Imaging Conference. Vol. 3. 2001. p. 1806-1810
Frese, Thomas ; Rouze, Ned C. ; Bouman, Charles A. ; Sauer, Ken ; Hutchins, Gary. / Quantitative comparison of FBP, EM, and Bayesian reconstruction algorithms, including the impact of accurate system modeling, for the IndyPET scanner. IEEE Nuclear Science Symposium and Medical Imaging Conference. Vol. 3 2001. pp. 1806-1810
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