DocumentCode :
3341022
Title :
Low dose, non-tomographic estimation of lesion position and trace element concentration in NSECT
Author :
Agasthya, Greeshma A. ; Shah, Jainil P. ; Harrawood, Brian P. ; Kapadia, Anuj J.
Author_Institution :
Dept. of Biomed. Eng., Duke Univ., Durham, NC, USA
fYear :
2011
fDate :
23-29 Oct. 2011
Firstpage :
3796
Lastpage :
3799
Abstract :
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.
Keywords :
biochemistry; biological tissues; diseases; dosimetry; emission tomography; iron; iterative methods; liver; phantoms; Fe; GEANT4 and; NSECT; biological organ; collimated neutron source; diseased tissue; fast neutron inelastic scatter; gamma attenuation; gamma spectra; graphical approach; iterative method; lesion position; liver iron concentration; multiple gamma detector; neutron attenuation; neutron stimulated emission computed tomography; non-tomographic estimation; radiation dose reduction; tissue phantom; tomographic imaging; trace element concentration; Attenuation measurement; Computer aided software engineering; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE
Conference_Location :
Valencia
ISSN :
1082-3654
Print_ISBN :
978-1-4673-0118-3
Type :
conf
DOI :
10.1109/NSSMIC.2011.6153719
Filename :
6153719
Link To Document :
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