Maximum-likelihood estimation of detector response for PET image reconstruction

Jinyi Qi

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

3 Scopus citations

Abstract

An accurate system model is essential for reconstructing high-resolution images. While the system response of a positron emission tomography (PET) system can be measured directly, the process is often difficult to perform and time-consuming. Here we propose a maximum likelihood method for estimating the detector response from projections of a point source at a set of radial locations in the field of view. The detector response functions for all radial bins are estimated simultaneously. No interpolation is required. Compared to the method of direct measurement, the proposed approach requires less measurements and results in sparse system matrix because a factored system matrix is used, which reduces the reconstruction time. We conducted computer simulation to demonstrate the feasibility of the proposed method.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages2530-2533
Number of pages4
DOIs
Publication statusPublished - 2006
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: Aug 30 2006Sep 3 2006

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
CountryUnited States
CityNew York, NY
Period8/30/069/3/06

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ASJC Scopus subject areas

  • Bioengineering

Cite this

Qi, J. (2006). Maximum-likelihood estimation of detector response for PET image reconstruction. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (pp. 2530-2533). [4029765] https://doi.org/10.1109/IEMBS.2006.260050