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Initial performance studies of a wearable brain positron emission tomography camera based on autonomous thin-film digital Geiger avalanche photodiode arrays
Memorial Sloan Kettering Cancer Center.
State University of New York at Binghamton.
Cornell University.
University of South Carolina.
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2017 (English)In: Journal of Medical Imaging, ISSN 2329-4302, E-ISSN 2329-4310, Vol. 4, no 1, 011003Article in journal (Refereed) Published
Abstract [en]

Using analytical and Monte Carlo modeling, we explored performance of a lightweight wearable helmet-shaped brain positron emission tomography (PET), or BET camera, based on thin-film digital Geiger avalanche photodiode arrays with Lutetium-yttrium oxyorthosilicate (LYSO) or [Formula: see text] scintillators for imaging in vivo human brain function of freely moving and acting subjects. We investigated a spherical cap BET and cylindrical brain PET (CYL) geometries with 250-mm diameter. We also considered a clinical whole-body (WB) LYSO PET/CT scanner. The simulated energy resolutions were 10.8% (LYSO) and 3.3% ([Formula: see text]), and the coincidence window was set at 2 ns. The brain was simulated as a water sphere of uniform F-18 activity with a radius of 100 mm. We found that BET achieved [Formula: see text] better noise equivalent count (NEC) performance relative to the CYL and [Formula: see text] than WB. For 10-mm-thick [Formula: see text] equivalent mass systems, LYSO (7-mm thick) had [Formula: see text] higher NEC than [Formula: see text]. We found that [Formula: see text] scintillator crystals achieved [Formula: see text] full-width-half-maximum spatial resolution without parallax errors. Additionally, our simulations showed that LYSO generally outperformed [Formula: see text] for NEC unless the timing resolution for [Formula: see text] was considerably smaller than that presently used for LYSO, i.e., well below 300 ps.

Place, publisher, year, edition, pages
2017. Vol. 4, no 1, 011003
National Category
Medical Equipment Engineering
Identifiers
URN: urn:nbn:se:umu:diva-133937DOI: 10.1117/1.JMI.4.1.011003OAI: oai:DiVA.org:umu-133937DiVA: diva2:1090086
Available from: 2017-04-21 Created: 2017-04-21 Last updated: 2017-04-21

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Häggström, Ida
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CiteExportLink to record
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Cite
Citation style
  • apa
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  • de-DE
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