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On-line Access: 2024-08-27
Received: 2023-10-17
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DÍAZ Marlén Pérez, RIZO Oscar Díaz, DÍAZ Adlin López, APARICIO Eric Estévez, DÍAZ Reinaldo Roque. Activity optimization method in SPECT: A comparison with ROC analysis[J]. Journal of Zhejiang University Science B, 2006, 7(12): 947-956.
@article{title="Activity optimization method in SPECT: A comparison with ROC analysis",
author="DÍAZ Marlén Pérez, RIZO Oscar Díaz, DÍAZ Adlin López, APARICIO Eric Estévez, DÍAZ Reinaldo Roque",
journal="Journal of Zhejiang University Science B",
volume="7",
number="12",
pages="947-956",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.B0947"
}
%0 Journal Article
%T Activity optimization method in SPECT: A comparison with ROC analysis
%A DÍ
%A AZ Marlé
%A n Pé
%A rez
%A RIZO Oscar Dí
%A az
%A DÍ
%A AZ Adlin Ló
%A pez
%A APARICIO Eric Esté
%A vez
%A DÍ
%A AZ Reinaldo Roque
%J Journal of Zhejiang University SCIENCE B
%V 7
%N 12
%P 947-956
%@ 1673-1581
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.B0947
TY - JOUR
T1 - Activity optimization method in SPECT: A comparison with ROC analysis
A1 - DÍ
A1 - AZ Marlé
A1 - n Pé
A1 - rez
A1 - RIZO Oscar Dí
A1 - az
A1 - DÍ
A1 - AZ Adlin Ló
A1 - pez
A1 - APARICIO Eric Esté
A1 - vez
A1 - DÍ
A1 - AZ Reinaldo Roque
J0 - Journal of Zhejiang University Science B
VL - 7
IS - 12
SP - 947
EP - 956
%@ 1673-1581
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.B0947
Abstract: A discriminant method for optimizing activity in nuclear medicine studies is validated by comparison with ROC (received operating characteristic)-curves. The method is tested in 21 single photon emission computerized tomography (SPECT), performed with a cardiac phantom. Three different lesions (L1, L2 and L3) were placed in the myocardium-wall by pairs for each SPECT. Three activities (84, 37 or 18.5 MBq) of 99mTc were used as background. Linear discriminant analysis was used to select the parameters that characterize image quality among the measured variables in the images [(Background-to-Lesion (B/Li) and Signal-to-Noise (Si/N) ratios)]. Two clusters with different image quality (P=0.021) were obtained. The ratios B/L1, B/L2 and B/L3 are the parameters used to construct the function with 100% of cases correctly classified into the clusters. The value of 37 MBq was the lowest tested activity for which good results for the B/Li ratios were obtained. The result coincides with the applied ROC-analysis (r=0.89).
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