Direct Parametric Maps Estimation from Dynamic PET Data: An Iterated Conditional Modes Approach
Joint Authors
Landini, Luigi
Della Latta, Daniele
Scipioni, Michele
Giorgetti, Assuero
Fucci, Sabrina
Santarelli, Maria Filomena
Positano, Vincenzo
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-08
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
We propose and test a novel approach for direct parametric image reconstruction of dynamic PET data.
We present a theoretical description of the problem of PET direct parametric maps estimation as an inference problem, from a probabilistic point of view, and we derive a simple iterative algorithm, based on the Iterated Conditional Mode (ICM) framework, which exploits the simplicity of a two-step optimization and the efficiency of an analytic method for estimating kinetic parameters from a nonlinear compartmental model.
The resulting method is general enough to be flexible to an arbitrary choice of the kinetic model, and unlike many other solutions, it is capable to deal with nonlinear compartmental models without the need for linearization.
We tested its performance on a two-tissue compartment model, including an analytical solution to the kinetic parameters evaluation, based on an auxiliary parameter set, with the aim of reducing computation errors and approximations.
The new method is tested on simulated and clinical data.
Simulation analysis led to the conclusion that the proposed algorithm gives a good estimation of the kinetic parameters in any noise condition.
Furthermore, the application of the proposed method to clinical data gave promising results for further studies.
American Psychological Association (APA)
Scipioni, Michele& Giorgetti, Assuero& Della Latta, Daniele& Fucci, Sabrina& Positano, Vincenzo& Landini, Luigi…[et al.]. 2018. Direct Parametric Maps Estimation from Dynamic PET Data: An Iterated Conditional Modes Approach. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1187448
Modern Language Association (MLA)
Scipioni, Michele…[et al.]. Direct Parametric Maps Estimation from Dynamic PET Data: An Iterated Conditional Modes Approach. Journal of Healthcare Engineering No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1187448
American Medical Association (AMA)
Scipioni, Michele& Giorgetti, Assuero& Della Latta, Daniele& Fucci, Sabrina& Positano, Vincenzo& Landini, Luigi…[et al.]. Direct Parametric Maps Estimation from Dynamic PET Data: An Iterated Conditional Modes Approach. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1187448
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187448