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Physics in Medicine and Biology|November 1, 1994
New estimation methods that directly use the time accumulated counts in the input function in quantitative dynamic PET studiesK Chen, S C Huang, D FengIEEE Transactions on Medical Imaging|January 1, 1993
A study on statistically reliable and computationally efficient algorithms for generating local cerebral blood flow parametric images with positron emission tomographyD Feng, Z Wang, S C HuangInternational Journal of Bio-Medical Computing|March 1, 1993
Models for computer simulation studies of input functions for tracer kinetic modeling with positron emission tomographyD Feng, S C Huang, X WangIEEE Transactions on Bio-Medical Engineering|March 1, 1996
A new double modeling approach for dynamic cardiac PET studies using noise and spillover contaminated LV measurementsD Feng, X Li, S C HuangJournal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|July 15, 1998
Noninvasive quantification of the cerebral metabolic rate for glucose using positron emission tomography, 18F-fluoro-2-deoxyglucose, the Patlak method, and an image-derived input functionK Chen, D Bandy, E Reiman, et al.Medical & Biological Engineering & Computing|June 6, 1998
Estimation of myocardial glucose utilisation with PET using the left ventricular time-activity curve as a non-invasive input functionX Li, D Feng, K P Lin, et al.IEEE Transactions on Medical Imaging|January 1, 1996
An unbiased parametric imaging algorithm for nonuniformly sampled biomedical system parameter estimationD Feng, S C Huang, Z Z Wang, et al.Medical & Biological Engineering & Computing|June 6, 1998
New method for the analysis of multiple positron emission tomography dynamic datasets: an example applied to the estimation of the cerebral metabolic rate of oxygenD Ho, D Feng, K ChenIEEE Transactions on Medical Imaging|June 30, 2000
Optimal image sampling schedule for both image-derived input and output functions in PET cardiac studiesX Li, D Feng, K ChenIEEE Transactions on Medical Imaging|January 1, 1996
Optimal image sampling schedule: a new effective way to reduce dynamic image storage space and functional image processing timeX Li, D Feng, K ChenPageof 424