Data-driven Estimation of Crystal Efficiencies using Single Events

Tao Feng, Aaron R. Selfridge, Liuchun He, Edwin K.S. Leung, Yilin Liu, Benjamin Spencer, Jeffrey Schmall, Jinyi Qi, Simon R. Cherry, Ramsey D. Badawi

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

Abstract

Normalization correction is a pre-requisite for accurate reconstruction of PET images. Uniform phantoms are often used to estimate normalization factors. While this approach can provide reliable results, the additional phantom-based scans reduce overall patient throughput.The main component in the normalization factors that may change over time is the crystal efficiencies. The crystal efficiencies affect both coincidence events and single events. Single events are used to provide additional data for estimating crystal efficiencies. A maximum-likelihood-based approach has been derived and used for the estimation of crystal efficiencies, which indicates that the crystal efficiency can be derived by dividing the measured single events with the estimated single events from activity distribution and attenuation map. An alternate update approach has been developed, where the activity distributions and the crystal efficiencies are jointly estimated. 2D simulations with different noise levels were employed to validate the method. Phantom scan using the partially developed EXPLORER system (two detector units) were also carried out. Fast Monte Carlo simulations were applied for acquiring the estimated single events from activity distributions.Noise-free simulations suggested that the proposed method can quantitatively recover the unknown crystal efficiencies. Noisy simulations suggested that high accuracy can still be achieved (~1% error) with noisy data. The study using the physical scan indicated that it is practical to acquire the measured and estimated singles, and the crystal efficiency map can be acquired using our method.We have proposed a method that can estimate crystal efficiencies using single events and routine clinical data. More studies using acquired data from the scanner will be conducted to further validate the method. This method makes it possible to reduce the number of phantom-based scans for quality control purposes.

Original languageEnglish (US)
Title of host publication2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728141640
DOIs
StatePublished - Oct 2019
Event2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 - Manchester, United Kingdom
Duration: Oct 26 2019Nov 2 2019

Publication series

Name2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019

Conference

Conference2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019
CountryUnited Kingdom
CityManchester
Period10/26/1911/2/19

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ASJC Scopus subject areas

  • Signal Processing
  • Radiology Nuclear Medicine and imaging
  • Nuclear and High Energy Physics

Cite this

Feng, T., Selfridge, A. R., He, L., Leung, E. K. S., Liu, Y., Spencer, B., Schmall, J., Qi, J., Cherry, S. R., & Badawi, R. D. (2019). Data-driven Estimation of Crystal Efficiencies using Single Events. In 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 [9060047] (2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSS/MIC42101.2019.9060047