Quantitative Accuracy of Penalized-Likelihood Reconstruction for ROI Activity Estimation.

IEEE Transactions on Nuclear Science
Lin FuJinyi Qi

Abstract

Estimation of the tracer uptake in a region of interest (ROI) is an important task in emission tomography. ROI quantification is essential for measuring clinical factors such as tumor activity, growth rate, and the efficacy of therapeutic interventions. Accuracy of ROI quantification is significantly affected by image reconstruction algorithms. In penalized maximum-likelihood (PML) algorithm, the regularization parameter controls the resolution and noise tradeoff and, hence, affects ROI quantification. To obtain the optimum performance of ROI quantification, it is desirable to use a moderate regularization parameter to effectively suppress noise without introducing excessive bias. However, due to the non-linear and spatial-variant nature of PML reconstruction, choosing a proper regularization parameter is not an easy task. Our previous theoretical study [1] has shown that the bias-variance characteristic for ROI quantification task depends on the size and activity distribution of the ROI. In this work, we design physical phantom experiments to validate these predictions in a realistic situation. We found that the phantom data results match well the theoretical predictions. The good agreement between the phantom results and theo...Continue Reading

References

May 8, 1998·Physics in Medicine and Biology·J QiT H Farquhar
Jun 29, 1999·IEEE Transactions on Medical Imaging·J Qi, R M Leahy
Oct 6, 2000·IEEE Transactions on Medical Imaging·J Qi, R M Leahy
Sep 21, 2004·IEEE Transactions on Medical Imaging·Quanzheng LiRichard M Leahy
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Jan 1, 1996·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·J A Fessler, W L Rogers

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Citations

May 23, 2012·International Journal of Peptides·C PolancoJ A Castanon-Gonzalez
Sep 27, 2013·Computational and Mathematical Methods in Medicine·Carlos PolancoSebastián Villanueva-Martínez
Apr 17, 2013·Physics in Medicine and Biology·L J Meng, N Li
Feb 13, 2015·Physics in Medicine and Biology·Kyungsang KimJong Chul Ye
May 30, 2013·Physics in Medicine and Biology·F Ben BouallègueD Mariano-Goulart

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