Estimating ROI activity concentration with photon-processing and photon-counting SPECT imaging systems

Abhinav K. Jha, Eric C. Frey

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

Abstract

Recently a new class of imaging systems, referred to as photon-processing (PP) systems, are being developed that uses real-time maximum-likelihood (ML) methods to estimate multiple attributes per detected photon and store these attributes in a list format. PP systems could have a number of potential advantages compared to systems that bin photons based on attributes such as energy, projection angle, and position, referred to as photon-counting (PC) systems. For example, PP systems do not suffer from binning-related information loss and provide the potential to extract information from attributes such as energy deposited by the detected photon. To quantify the effects of this advantage on task performance, objective evaluation studies are required. We performed this study in the context of quantitative 2-dimensional single-photon emission computed tomography (SPECT) imaging with the end task of estimating the mean activity concentration within a region of interest (ROI). We first theoretically outline the effect of null space on estimating the mean activity concentration, and argue that due to this effect, PP systems could have better estimation performance compared to PC systems with noise-free data. To evaluate the performance of PP and PC systems with noisy data, we developed a singular value decomposition (SVD)-based analytic method to estimate the activity concentration from PP systems. Using simulations, we studied the accuracy and precision of this technique in estimating the activity concentration. We used this framework to objectively compare PP and PC systems on the activity concentration estimation task. We investigated the effects of varying the size of the ROI and varying the number of bins for the attribute corresponding to the angular orientation of the detector in a continuously rotating SPECT system. The results indicate that in several cases, PP systems offer improved estimation performance compared to PC systems.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2015
Subtitle of host publicationPhysics of Medical Imaging
EditorsChristoph Hoeschen, Despina Kontos, Christoph Hoeschen
PublisherSPIE
ISBN (Electronic)9781628415025
DOIs
StatePublished - Jan 1 2015
EventMedical Imaging 2015: Physics of Medical Imaging - Orlando, United States
Duration: Feb 22 2015Feb 25 2015

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9412
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2015: Physics of Medical Imaging
CountryUnited States
CityOrlando
Period2/22/152/25/15

Keywords

  • Analytic ROI activity estimation
  • LM acquisition
  • Null functions
  • Photon-processing systems
  • SPECT
  • Singular-value decom-position

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Jha, A. K., & Frey, E. C. (2015). Estimating ROI activity concentration with photon-processing and photon-counting SPECT imaging systems. In C. Hoeschen, D. Kontos, & C. Hoeschen (Eds.), Medical Imaging 2015: Physics of Medical Imaging [94120R] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9412). SPIE. https://doi.org/10.1117/12.2082278