DocumentCode :
1771489
Title :
Brain imaging using fast neutron spectroscopy
Author :
Kapadia, Anuj J. ; Dong Joo Rhee ; Zhonglin Han
Author_Institution :
Med. Center, Dept. of Radiol., Carl E. Ravin Adv. Imaging Labs., Duke Univ., Durham, NC, USA
fYear :
2014
fDate :
6-8 May 2014
Firstpage :
1
Lastpage :
3
Abstract :
Most clinical methods of imaging the brain rely on imaging the anatomic and functional changes accompanying disease in brain tissue. This approach, although successful, has two limitations: first, the abnormality of interest must be large enough to be imaged using existing technologies, and second, confirmation of the abnormality usually requires a biopsy. To overcome limitations, we describe here a new method of brain imaging that uses fast neutrons to image the element distribution within the brain tissue and identify disease based on relative concentration gradients in different regions of the brain. The method, called Neutron Stimulated Emission Computed Tomography, has been successfully tested previously in imaging cancers in the breast, liver, kidneys and colon. Here we describe a study demonstrating the potential of the technology in detecting deep-seated brain tumors using a different signature compared to other imaging methods.
Keywords :
brain; cancer; computerised tomography; image reconstruction; medical image processing; neutron spectroscopy; tumours; anatomic changes; biopsy; brain imaging; brain tissue; cancer; deep-seated brain tumors; disease; element distribution; fast neutron spectroscopy; functional changes; image reconstruction; neutron stimulated emission computed tomography; Brain; Detectors; Image reconstruction; Imaging; Neutrons; TV; Tumors; GEANT4; Monte-Carlo; brain imaging; gamma; image reconstruction; medical imaging; neutron;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Science and Engineering Center Conference (BSEC), 2014 Annual Oak Ridge National Laboratory
Conference_Location :
Oak Ridge, TN
Type :
conf
DOI :
10.1109/BSEC.2014.6867741
Filename :
6867741
Link To Document :
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