Bayesian multiresolution algorithm for pet reconstruction

T. Frese, C. A. Bouman, N. C. Rouze, Gary Hutchins, K. Sauer

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

6 Citations (Scopus)

Abstract

We introduce a spatially non-homogeneous adaptive image model and multiresolution reconstruction algorithm for Bayesian tomographic reconstruction. In contrast to existing approaches, the proposed image model is formulated in a multiresolution wavelet domain and relies on training data to incorporate the expected characteristics of typical reconstructions. The actual tomographic reconstruction is performed in the space domain to simplify enforcement of the positivity constraint. We apply the proposed algorithm to simulated data and to data acquired using the IndyPET dedicated research scanner. Our experimental results indicate that our algorithm can improve reconstruction quality over fixed resolution Bayesian methods.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Pages613-616
Number of pages4
Volume2
StatePublished - 2000
Externally publishedYes
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sep 10 2000Sep 13 2000

Other

OtherInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period9/10/009/13/00

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Frese, T., Bouman, C. A., Rouze, N. C., Hutchins, G., & Sauer, K. (2000). Bayesian multiresolution algorithm for pet reconstruction. In IEEE International Conference on Image Processing (Vol. 2, pp. 613-616)

Bayesian multiresolution algorithm for pet reconstruction. / Frese, T.; Bouman, C. A.; Rouze, N. C.; Hutchins, Gary; Sauer, K.

IEEE International Conference on Image Processing. Vol. 2 2000. p. 613-616.

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

Frese, T, Bouman, CA, Rouze, NC, Hutchins, G & Sauer, K 2000, Bayesian multiresolution algorithm for pet reconstruction. in IEEE International Conference on Image Processing. vol. 2, pp. 613-616, International Conference on Image Processing (ICIP 2000), Vancouver, BC, Canada, 9/10/00.
Frese T, Bouman CA, Rouze NC, Hutchins G, Sauer K. Bayesian multiresolution algorithm for pet reconstruction. In IEEE International Conference on Image Processing. Vol. 2. 2000. p. 613-616
Frese, T. ; Bouman, C. A. ; Rouze, N. C. ; Hutchins, Gary ; Sauer, K. / Bayesian multiresolution algorithm for pet reconstruction. IEEE International Conference on Image Processing. Vol. 2 2000. pp. 613-616
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