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Cited by 279

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Relevance of accurate Monte Carlo modeling in nuclear medical imaging

Open access
Zaidi, Habib·1999·Medical Physics

Abstract

Monte Carlo techniques have become popular in different areas of medical physics with advantage of powerful computing systems. In particular, they have been extensively applied to simulate processes involving random behavior and to quantify physical parameters that are difficult or even impossible to calculate by experimental measurements. Recent nuclear medical imaging innovations such as single-photon emission computed tomography (SPECT), positron emission tomography (PET), and multiple emission tomography (MET) are ideal for Monte Carlo modeling techniques because of the stochastic nature of radiation emission, transport and detection processes. Factors which have contributed to the wider use include improved models of radiation transport processes, the practicality of application with the development of acceleration schemes and the improved speed of computers. In this paper we present a derivation and methodological basis for this approach and critically review their areas of application in nuclear imaging. An overview of existing simulation programs is provided and illustrated with examples of some useful features of such sophisticated tools in connection with common computing facilities and more powerful multiple-processor parallel processing systems. Current and future trends in the field are also discussed.

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Metadata

Authors
Zaidi, H.
Venue
Medical Physics
Publisher
Wiley
Published
1999-04
Volume
26
Issue
4
Pages
574-608
ISSN
0094-2405 (ISSN-L)
OpenAlex
W2038253228
Cited by
279
References
62
FWCI
10.03
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Relevance of accurate Monte Carlo modeling in nuclear medical imaging. https://app.cochat.ai/papers/10.1118/1.598559
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Zaidi, H. (1999). Relevance of accurate Monte Carlo modeling in nuclear medical imaging. Medical Physics. https://doi.org/10.1118/1.598559

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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