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Citation:Gu, F., Wu, Q., O’Sullivan, F., Huang, J., Muzi, M. and Mankoff, D. A. (2019) 'An Illustration of the Use of Model-Based Bootstrapping for Evaluation of Uncertainty in Kinetic Information Derived from Dynamic PET', 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Manchester, United Kingdom, 26 Oct.-2 Nov. doi: 10.1109/NSS/MIC42101.2019.9059736
Kinetic mapping via mixture analysis[8], [10] involves comprehensive voxel-level analysis of dynamic PET data. Bootstrapping from the fitted mixture model gives the ability to directly simulate statistical copies of the 4-D PET data, and following suitable analysis, subsequent simulations of the associated kinetic maps. This gives the ability to numerically evaluate uncertainties in inferences associated with kinetic information. We provide a simple introduction to the concept of the model-based bootstrap and an illustration of the use of the approach for kinetic mapping from dynamic PET using results from recent work in Huang et al.[4]. The illustration is from a PET flow-metabolism imaging study in a breast cancer patient. It involves separate dynamic PET imaging following injections of O-15 H2O and F-18 FDG. The bootstrapped data is created in the image domain rather than the projection domain, so there is no reconstruction requirement involved.
Kumar, Sanjeev; Buckley, John; Di Serio, Adolfo; O'Flynn, Brendan(Institute of Electrical and Electronics Engineers (IEEE), 2018-12-24)
Antennas are a critical component of an internet of things device and are typically modelled using full-wave electromagnetic (EM) solvers for their optimal design. In this paper, we investigate and compare the impact, ...
Molina Salgado, Gerardo; Dicataldo, Alberto; O'Hare, Daniel; O'Connell, Ivan; de la Rosa, José M.(Institute of Electrical and Electronics Engineers (IEEE), 2018-05-04)
This paper presents a toolbox for the behavioral simulation of SAR ADCs in Simulink®. The models include the most limiting circuit effects such as sampled thermal noise, capacitor mismatch, finite settling, comparator noise ...
Hashemi, Mohammad; Herbert, John(Institute of Electrical and Electronics Engineers (IEEE), 2016-08-25)
Predicting user behaviour enables user assistant services provide personalized services to the users. This requires a comprehensive user model that can be created by monitoring user interactions and activities. BaranC is ...
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