Literature DB >> 21490386

Semiempirical analysis of materials' elemental composition to formulate tissue-equivalent materials: a preliminary study.

Indra Yohannes1, Daniel Kolditz, Willi A Kalender.   

Abstract

Tissue-equivalent materials are used for simplifying quality control and quality assurance procedures, both in diagnostic and therapeutic radiology. Important information to formulate a tissue-equivalent material is elemental composition of its base materials. However, this information is not easily obtained. Therefore we propose a stoichiometric analysis method to investigate the elemental composition of the base materials that can potentially be used for manufacturing tissue-equivalent materials. In this technique, we combined the stoichiometric calibration and the basic data method to obtain the elemental composition of materials from measured computer tomography (CT) numbers. The elemental composition, with the maximum number of the elements of the material in question up to the available number of different tube voltages at the CT scanner, was analysed using the proposed approach. We tested eight different cylinders in this study. The estimated elemental compositions of unspecified materials in the cylinders were evaluated by comparing the calculated and the simulated CT numbers to the measured ones; the results showed good correlation with maximum absolute differences of 1.9 and 3.7 HU, respectively. The accuracy of the stoichiometric analysis method to estimate the elemental composition was influenced by the accuracy of the measured CT numbers. The method proposed allows for determining the elemental composition of the base materials which can then be applied further to formulate tissue-equivalent materials.

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Year:  2011        PMID: 21490386     DOI: 10.1088/0031-9155/56/10/005

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


  1 in total

1.  Dosimetric accuracy of the cone-beam CT-based treatment planning of the Vero system: a phantom study.

Authors:  Indra Yohannes; Heru Prasetio; Karoline Kallis; Christoph Bert
Journal:  J Appl Clin Med Phys       Date:  2016-07-08       Impact factor: 2.102

  1 in total

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