TY - GEN
T1 - Fast gamma-ray event interaction position estimation using k-d tree - A simulation study
AU - Li, Xin
AU - Tao, Li
AU - Levin, Craig S.
AU - Furenlid, Lars R.
N1 - Funding Information:
This work was partially supported by NIH/NIBIB grants P41-EB002035 "The Center for Gamma-Ray Imaging" and 5R01EB000803.
Funding Information:
ACKNOWLEDGMENT The authors would like to thank Ryeojin Park, Ling Han and Brain Miller for providing suggestions and equipment for the experiment. This work was partially supported by NIH/NIBIB grants P41-EB002035 “The Center for Gamma-Ray Imaging” and 5R01EB000803.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/11
Y1 - 2018/11
N2 - We have developed a gamma-ray interaction-position estimation method using k-d tree search, which can achieve efficiency and accuracy at the same time. This method can be combined with various kinds of closeness metrics such as Euclidean distance, and maximum-likelihood estimation. The time complexity of the k-d tree search method is O(log2(N)), where N represents the number of entries in the reference data set. The accuracy of the k-d tree search is equivalent to that of the exhaustive search method which has the highest achievable accuracy. Most importantly, this method has no requirement on the shapes of mean-detector-response functions (MDRFs), which means that it is also very robust, and can be applied widely without restrictions.
AB - We have developed a gamma-ray interaction-position estimation method using k-d tree search, which can achieve efficiency and accuracy at the same time. This method can be combined with various kinds of closeness metrics such as Euclidean distance, and maximum-likelihood estimation. The time complexity of the k-d tree search method is O(log2(N)), where N represents the number of entries in the reference data set. The accuracy of the k-d tree search is equivalent to that of the exhaustive search method which has the highest achievable accuracy. Most importantly, this method has no requirement on the shapes of mean-detector-response functions (MDRFs), which means that it is also very robust, and can be applied widely without restrictions.
UR - http://www.scopus.com/inward/record.url?scp=85073121661&partnerID=8YFLogxK
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U2 - 10.1109/NSSMIC.2018.8824296
DO - 10.1109/NSSMIC.2018.8824296
M3 - Conference contribution
AN - SCOPUS:85073121661
T3 - 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings
BT - 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018
Y2 - 10 November 2018 through 17 November 2018
ER -