DocumentCode
686720
Title
A new design of neuro-PET improving sensitivity
Author
HanBack Shin ; Yong Choi ; Yoonsuk Huh ; Jin Ho Jung
Author_Institution
Dept. of Electron. Eng., Sogang Univ., Seoul, South Korea
fYear
2013
fDate
Oct. 27 2013-Nov. 2 2013
Firstpage
1
Lastpage
3
Abstract
The improvement of sensitivity in neuro-PET is crucial because it can reduce the scan time and/or the radiation dose. In this study, we proposed a novel PET detector design that combined conical shape detector with cylindrical one (conical PET) to obtain high sensitivity. The sensitivity as a function of the oblique angle and the ratio of the conical to cylindrical portion was estimated to optimize the design of conical PET using Monte Carlo simulation tool, GATE v6.2. An axial sensitivity and misplacement rate by penetration of γ rays were also estimated to evaluate the performance of the conical PET. The sensitivity was improved by 36% at the center of axial FOV. This value was similar to the analytically calculated value. The misplacement rate of conical PET was about 5% higher than the conventional PET. The results of this study demonstrated the conical detector proposed in this study could provide subsequent improvement in sensitivity which could allow to design high sensitivity PET for brain imaging.
Keywords
Monte Carlo methods; brain; image reconstruction; medical image processing; neurophysiology; positron emission tomography; sensitivity; γ ray penetration; GATE v6.2; Monte Carlo simulation tool; analytically calculated value; axial sensitivity; brain imaging; conical PET; conical shape detector; conical-cylindrical portion; misplacement rate; neuro-PET; novel PET detector design; radiation dose; scan time; Detectors; Head; Imaging phantoms; Monte Carlo methods; Positron emission tomography; Sensitivity;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
Conference_Location
Seoul
Print_ISBN
978-1-4799-0533-1
Type
conf
DOI
10.1109/NSSMIC.2013.6829149
Filename
6829149
Link To Document