NDLI: Neutron stimulated emission computed tomography for brain cancer imaging

Content Provider	IEEE Xplore Digital Library
Author	Dong Joo Rhee Agasthya, G.A. Kapadia, A.J.
Copyright Year	2013
Description	Author affiliation: Med. Phys. Grad. Program, Duke Univ., Durham, NC, USA (Dong Joo Rhee) \|\| Dept. of Biomed. Eng. & the Dept. of Radiol., Duke Univ., Durham, NC, USA (Agasthya, G.A.) \|\| Dept. of Radiol. & the Med. Phys. Grad. Program, Duke Univ., Durham, NC, USA (Kapadia, A.J.)
Abstract	Neutron stimulated emission computed tomography (NSECT) uses photons emitted from inelastic scattering of neutrons with biological objects to quantify the elemental composition of the object and reconstruct an image. Previously, NSECT has been used to detect liver and breast disease in vivo. In this study, we investigated the capability of imaging brain tumors using NSECT. A GEANT4 simulation was developed to model the brain, skull, and a spherical lesion. Images corresponding to phosphorus, sulfur, and iron (both individually and as combinations) were generated from a simulated NSECT scan. Signal-to-noise ratio (SNR) and full width at half maximum (FWHM) in the tumor region were calculated to assess image accuracy (FWHM ≤ 5% error) and detectability (SNR > 2.5). The scan with the least amount of absorbed dose required to achieve these criteria was defined as the optimal acquisition. The lowest dose value was found to be 0.0837 cGy for a 2 cm brain tumor imaged using a single germanium detector, 6 equally spaced angles from 0 to 180 degrees, 20 projections per angle and 0.5 million neutrons per projection. The SNR for the combination of phosphorus, sulfur, and iron with the given condition was 9.288 and FWHM for the iron was 15 mm with the given condition. In conclusion, NSECT is capable of imaging a 2 cm brain tumor using the elemental composition of phosphorus, sulfur, and iron with reasonable SNR, FWHM and radiation dose.
Starting Page	1
Ending Page	5
File Size	306093
Page Count	5
File Format	PDF
e-ISBN	9781479905348
DOI	10.1109/NSSMIC.2013.6829159
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tumors Neutrons Iron Signal to noise ratio Brain Computed tomography
Content Type	Text
Resource Type	Article

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