Aperture Size Selection for Improved Brain Tumor Detection and Quantification in Multi-Pinhole 123I-CLINDE SPECT Imaging

Benjamin Auer, Kesava S. Kalluri, Aly H. Abayazeed, Jan de Beenhouwer, Navid Zeraatkar, Clifford Lindsay, Neil C. Momsen, R. Garrett Richards, Micaehla May, Matthew A. Kupinski, Phillip H. Kuo, Lars R. Furenlid, Michael A. King

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

1 Scopus citations

Abstract

A next-generation multi-pinhole system dedicated to brain SPECT imaging is being constructed by our research team, which we call AdaptiSPECT-C. The system prototype used herein consists of 25 square detector modules and a total of 100 apertures grouped by 4 per module. The system is specifically designed for multi-purpose brain imaging and capable of adapting in real-time each aperture size and whether it is open or shuttered closed. The use of such system would provide optimum high-performance patient-personalized imaging for a wide range of brain imaging tasks. In this work we investigated the effect of pinhole diameter variation on spherical tumor quantification for the promising brain tumor imaging agent 123I-CLINDE. To assess the quality of the images reconstructed for the different aperture sizes, we used a customized multiple-sphere tumor phantom derived from the XCAT software with a tumor size of 1 cm in diameter. Our results suggest through quantification and visual inspection that an aperture diameter in the range of 2 to 5 mm in diameter for the adaptive AdaptiSPECT-C system is likely the most suited for high performance brain tumor 123I-CLINDE imaging. In addition, our study concludes that a 4 mm pinhole diameter given its excellent spatial-resolution-to-sensitivity trade-off is promising for scout acquisition in localizing target tumor regions within the brain. We have initiated a task-based performance on the tumor detection and localization accuracy for a range of simulated tumor sizes using the channelized non-pre-whitening (CNPW) matched-filter scanning-observer.

Original languageEnglish (US)
Title of host publication2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728176932
DOIs
StatePublished - 2020
Event2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020 - Boston, United States
Duration: Oct 31 2020Nov 7 2020

Publication series

Name2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020

Conference

Conference2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020
Country/TerritoryUnited States
CityBoston
Period10/31/2011/7/20

Keywords

  • GATE Monte-Carlo simulation
  • Glioma
  • I-CLINDE SPECT imaging
  • Next-generation clinical system
  • Pinhole diameter selection
  • Quantification

ASJC Scopus subject areas

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

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