Literature DB >> 15742948

Unified description and validation of Monte Carlo simulators in PET.

Irène Buvat1, Isabella Castiglioni, Juliette Feuardent, Maria-Carla Gilardi.   

Abstract

Several Monte Carlo simulators are currently available for positron emission tomography (PET). Because each code has been described in a different way, it is difficult to know which one is best suited to a specific application. To help clarify the capabilities and accuracy of different codes dedicated to PET simulations, we propose a uniform description of the code features. This description specifies features pertaining to the models used for simulating the physics of PET and for describing a PET acquisition, to the acceleration strategies and to the technical characteristics of the code implementation. To assess the code accuracy, we suggest validation procedures based on NEMA phantoms involving standard physical parameters and simulation of a complex activity distribution. A test characterizing the statistical properties of detected coincidences is also described. The proposed code description and validation procedures are illustrated by considering the SimSET and PET-EGS codes. These codes differ in many features, including models for randoms and dead time, and source description. Despite these differences, both codes yielded data with properties close to those of real data. Depending on the intended application, one code might be preferred however. Indeed, only PET-EGS allows for accurate modelling of count rates while SimSET is more computationally efficient. The proposed code description and validation procedures might help determine which code is most appropriate for a specific application.

Mesh:

Year:  2005        PMID: 15742948     DOI: 10.1088/0031-9155/50/2/011

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  4 in total

1.  MCAT to XCAT: The Evolution of 4-D Computerized Phantoms for Imaging Research: Computer models that take account of body movements promise to provide evaluation and improvement of medical imaging devices and technology.

Authors:  W Paul Segars; Benjamin M W Tsui
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2009-12       Impact factor: 10.961

2.  Verification of phantom accuracy using a Monte Carlo simulation: bone scintigraphy chest phantom.

Authors:  Toshimune Ito; Hirotatsu Tsuchikame; Hajime Ichikawa; Masahisa Onoguchi; Koichi Okuda; Takayuki Shibutani; Noriyo Yokotsuka; Hiroshi Tomizawa
Journal:  Radiol Phys Technol       Date:  2021-07-24

3.  A Method for Manufacturing Oncological Phantoms for the Quantification of 18F-FDG PET and DW-MRI Studies.

Authors:  Francesca Gallivanone; Irene Carne; Matteo Interlenghi; Daniela D'Ambrosio; Maurizia Baldi; Daniele Fantinato; Isabella Castiglioni
Journal:  Contrast Media Mol Imaging       Date:  2017-09-07       Impact factor: 3.161

4.  Parameters Influencing PET Imaging Features: A Phantom Study with Irregular and Heterogeneous Synthetic Lesions.

Authors:  Francesca Gallivanone; Matteo Interlenghi; Daniela D'Ambrosio; Giuseppe Trifirò; Isabella Castiglioni
Journal:  Contrast Media Mol Imaging       Date:  2018-09-10       Impact factor: 3.161

  4 in total

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