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Monte Carlo simulation of PET images for injection dose optimization
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SYSNO ASEP 0369540 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Monte Carlo simulation of PET images for injection dose optimization Author(s) Boldyš, Jiří (UTIA-B) RID
Dvořák, Jiří (UTIA-B) RID
Bělohlávek, O. (CZ)
Skopalová, M. (CZ)Number of authors 4 Source Title Computational Vision and Medical Image Processing: VipIMAGE 2011. - London : Taylor and Francis, 2011 / Manuel J. ; Tavares R. S. ; Jorge N. - ISBN 978-0-415-68395-1 Pages s. 1-6 Number of pages 6 s. Action VipIMAGE 2011 - third ECCOMAS thematic conference on computational vision and medical image processing Event date 12.10.2011-14.10.2011 VEvent location Olhao, Algarve Country PT - Portugal Event type WRD Language eng - English Country GB - United Kingdom Keywords positron emission tomography ; Monte Carlo simulation ; biological system modeling ; image quality Subject RIV BD - Theory of Information R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation When a patient is examined by positron emission tomography, radiotracer dose amount has to be determined. However, the rules used nowadays do not correspond with practical experience. Slim patients are given unnecessary amount of radiotracer and obese patients would need more activity to produce images of sufficient quality. We have built a model of a particular PET scanner and approximated human trunk, which is our region of interest, by a cylindrical model with segments of liver, outer adipose tissue and the rest. We have performed Monte Carlo simulations of PET imaging using the GATE simulation package. Under reasonably simplifying assumptions and for special parameters, we have developed curves, which recommend amount of injected activity based on body parameters to give PET images of constant quality. The dependence qualitatively differs from the rules used in clinical practice nowadays and the results indicate potential for improvement Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2012
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