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Simulation and its role in the development and assessment of quantitative radionuclide imaging of the brain

Simulation and its role in the development and assessment of quantitative radionuclide imaging of the brain
Simulation and its role in the development and assessment of quantitative radionuclide imaging of the brain

An early and defining goal of this study was to create a method of effectively allowing a comparison of imaging systems and analysis methods, with the aim of providing an effective validation. To this end a simulated audit data set has been created specifically for SPECT imaging with 99mTc-HMPAO, and is shown to realistically represent variation in parameters. An in depth analysis using statistical parametric mapping (SPM99) has been performed, and the results are compared to an analysis using brain registration and analysis of SPECT studies (BRASS). The results show that if analysis parameters are carefully selected, then both methods can produce identical results. The data set is being used in a national pilot audit study of semi-quantitative analysis techniques, and has been distributed to participating centres. A full analysis will be performed once results are collated.

Analysis and validation remains a long term goal of the project, and a lot of the work has focused on the production of ground truth models that can be used in this task. Due to analytical simulation limitations, remaining work to date has focused on developing full Monte Carlo simulation models to supersede analytical simulation methods. The Zubal phantom model has been updated for use in this task and has been used with iterative biodistribution estimation procedures. The data are used as simulation objects for SimSET simulation to generate normal datasets, and methods are suggested for creating realistic physiological and anatomic variation. Analysis of simulated data using statistical methods and comparison to real normal data shows good approximation, although errors are present. These errors are systematically defined and characterised, and shown to be correlated with discrepancies between the updated Zubal phantom and normal anatomy.

University of Southampton
Ward, Tony
6ab10be1-78d5-4904-8238-e3e613d70a06
Ward, Tony
6ab10be1-78d5-4904-8238-e3e613d70a06

Ward, Tony (2006) Simulation and its role in the development and assessment of quantitative radionuclide imaging of the brain. University of Southampton, Doctoral Thesis.

Record type: Thesis (Doctoral)

Abstract

An early and defining goal of this study was to create a method of effectively allowing a comparison of imaging systems and analysis methods, with the aim of providing an effective validation. To this end a simulated audit data set has been created specifically for SPECT imaging with 99mTc-HMPAO, and is shown to realistically represent variation in parameters. An in depth analysis using statistical parametric mapping (SPM99) has been performed, and the results are compared to an analysis using brain registration and analysis of SPECT studies (BRASS). The results show that if analysis parameters are carefully selected, then both methods can produce identical results. The data set is being used in a national pilot audit study of semi-quantitative analysis techniques, and has been distributed to participating centres. A full analysis will be performed once results are collated.

Analysis and validation remains a long term goal of the project, and a lot of the work has focused on the production of ground truth models that can be used in this task. Due to analytical simulation limitations, remaining work to date has focused on developing full Monte Carlo simulation models to supersede analytical simulation methods. The Zubal phantom model has been updated for use in this task and has been used with iterative biodistribution estimation procedures. The data are used as simulation objects for SimSET simulation to generate normal datasets, and methods are suggested for creating realistic physiological and anatomic variation. Analysis of simulated data using statistical methods and comparison to real normal data shows good approximation, although errors are present. These errors are systematically defined and characterised, and shown to be correlated with discrepancies between the updated Zubal phantom and normal anatomy.

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Published date: 2006

Identifiers

Local EPrints ID: 466120
URI: http://eprints.soton.ac.uk/id/eprint/466120
PURE UUID: 52d45fa5-4025-40fb-a793-7e67943f7ffe

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Date deposited: 05 Jul 2022 04:24
Last modified: 16 Mar 2024 20:31

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Author: Tony Ward

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