TY - GEN
T1 - Low dose, non-tomographic estimation of lesion position and trace element concentration in NSECT
AU - Agasthya, Greeshma A.
AU - Shah, Jainil P.
AU - Harrawood, Brian P.
AU - Kapadia, Anuj J.
PY - 2011
Y1 - 2011
N2 - Neutron stimulated emission computed tomography (NSECT) is a quantitative imaging method that uses fast-neutron inelastic scatter to identify the elemental composition of diseased tissue in biological organs. Previous NSECT work has shown the ability to quantitatively image liver iron concentrations through tomographic imaging; however, such acquisition imparts considerable radiation dose. To implement NSECT as a low-dose diagnostic tool, we are developing a technique to simultaneously determine the element concentration and position from a single-angle scan of the tissue, thereby eliminating the need for tomography and reducing both scan time and radiation dose. Using known physical factors such as neutron and gamma attenuation that affect the detected gamma signal, a unique equation corresponding to the expected gamma counts can be developed for each detector in the acquisition system, and these equations can be solved iteratively to obtain a simultaneous estimate of the lesion position and iron concentration. As the first step towards the development of this algorithm, we describe here a graphical approach to localize and quantify an iron lesion in the liver without tomographic imaging. The acquisition system with a collimated neutron source, multiple gamma detectors, and a tissue phantom were simulated in GEANT4 and used to generate gamma spectra from 50 different combinations of lesion position and iron concentration: 49 known cases and 1 unknown 'test' case. Surface plots of gamma counts vs. lesion position and iron concentration from the 49 known combinations were generated for each detector. The 'test' lesion signal was overlaid on the surface plots to obtain the best estimate of the unknown lesion concentration and position in the beam. The results showed 100% accurate identification of the concentration and less than 20% error in the identified position. The results validate the approach for non-tomographic determination of these parameters.
AB - Neutron stimulated emission computed tomography (NSECT) is a quantitative imaging method that uses fast-neutron inelastic scatter to identify the elemental composition of diseased tissue in biological organs. Previous NSECT work has shown the ability to quantitatively image liver iron concentrations through tomographic imaging; however, such acquisition imparts considerable radiation dose. To implement NSECT as a low-dose diagnostic tool, we are developing a technique to simultaneously determine the element concentration and position from a single-angle scan of the tissue, thereby eliminating the need for tomography and reducing both scan time and radiation dose. Using known physical factors such as neutron and gamma attenuation that affect the detected gamma signal, a unique equation corresponding to the expected gamma counts can be developed for each detector in the acquisition system, and these equations can be solved iteratively to obtain a simultaneous estimate of the lesion position and iron concentration. As the first step towards the development of this algorithm, we describe here a graphical approach to localize and quantify an iron lesion in the liver without tomographic imaging. The acquisition system with a collimated neutron source, multiple gamma detectors, and a tissue phantom were simulated in GEANT4 and used to generate gamma spectra from 50 different combinations of lesion position and iron concentration: 49 known cases and 1 unknown 'test' case. Surface plots of gamma counts vs. lesion position and iron concentration from the 49 known combinations were generated for each detector. The 'test' lesion signal was overlaid on the surface plots to obtain the best estimate of the unknown lesion concentration and position in the beam. The results showed 100% accurate identification of the concentration and less than 20% error in the identified position. The results validate the approach for non-tomographic determination of these parameters.
UR - http://www.scopus.com/inward/record.url?scp=84858694559&partnerID=8YFLogxK
U2 - 10.1109/NSSMIC.2011.6153719
DO - 10.1109/NSSMIC.2011.6153719
M3 - Conference contribution
AN - SCOPUS:84858694559
SN - 9781467301183
T3 - IEEE Nuclear Science Symposium Conference Record
SP - 3796
EP - 3799
BT - 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
Y2 - 23 October 2011 through 29 October 2011
ER -