High-resolution image reconstruction for PET using estimated detector response functions

Michel S. Tohme, Jinyi Qi

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

2 Citations (Scopus)

Abstract

The accuracy of the system model in an iterative reconstruction algorithm greatly affects the quality of reconstructed PET images. For efficient computation in reconstruction, the system model in PET can be factored into a product of geometric projection matrix and detector blurring matrix, where the former is often computed based on analytical calculation, and the latter is estimated using Monte Carlo simulations. In this work, we propose a method to estimate the 2D detector blurring matrix from experimental measurements. Point source data were acquired with high-count statistics in the microPET II scanner using a computer-controlled 2-D motion stage. A monotonically convergent iterative algorithm has been derived to estimate the detector blurring matrix from the point source measurements. The algorithm takes advantage of the rotational symmetry of the PET scanner with the modeling of the detector block structure. Since the resulting blurring matrix stems from actual measurements, it can take into account the physical effects in the photon detection process that are difficult or impossible to model in a Monte Carlo simulation. Reconstructed images of a line source phantom show improved resolution with the new detector blurring matrix compared to the original one from the Monte Carlo simulation. This method can be applied to other small-animal and clinical scanners.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume6498
DOIs
StatePublished - 2007
EventComputational Imaging V - San Jose, CA, United States
Duration: Jan 29 2007Jan 31 2007

Other

OtherComputational Imaging V
CountryUnited States
CitySan Jose, CA
Period1/29/071/31/07

Fingerprint

image reconstruction
Image reconstruction
blurring
Detectors
high resolution
detectors
matrices
scanners
point sources
simulation
estimates
stems
animals
Animals
Photons
projection
Statistics
statistics
photons
symmetry

Keywords

  • Detector response
  • Iterative image reconstruction
  • Positron emission tomography
  • System modeling

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Tohme, M. S., & Qi, J. (2007). High-resolution image reconstruction for PET using estimated detector response functions. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 6498). [649819] https://doi.org/10.1117/12.716739

High-resolution image reconstruction for PET using estimated detector response functions. / Tohme, Michel S.; Qi, Jinyi.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 6498 2007. 649819.

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

Tohme, MS & Qi, J 2007, High-resolution image reconstruction for PET using estimated detector response functions. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 6498, 649819, Computational Imaging V, San Jose, CA, United States, 1/29/07. https://doi.org/10.1117/12.716739
Tohme MS, Qi J. High-resolution image reconstruction for PET using estimated detector response functions. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 6498. 2007. 649819 https://doi.org/10.1117/12.716739
Tohme, Michel S. ; Qi, Jinyi. / High-resolution image reconstruction for PET using estimated detector response functions. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 6498 2007.
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