Document Detail


Feasibility of Monte Carlo simulations in quantitative tissue imaging.
MedLine Citation:
PMID:  20458695     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: The feasibility of Monte Carlo simulations as a tool to facilitate quantitative image analysis is investigated by means of simulating light transport in skin phantoms. METHODS: A Monte Carlo tool is used to compare if simulated fluorescent signals show agreement with measured data. The lipophilic fluorescent probe Nile Red and dedicated skin phantoms are also used in simulations to investigate the influence of the optical properties of the skin on the signal. RESULTS: It is shown that the simulated and measured fluorescence signals show linear behavior up to a certain concentration of Nile Red. The simulations of the skin phantoms show the varying influence of single skin layers on the fluorescence signal. A calibration factor for quantitative analysis can be determined for the different skin layers. CONCLUSION: Characterizing the influence of different media on imaging signals is a primary task in developing quantitative analysis methods. Monte Carlo simulations are a useful tool to investigate imaging properties of biological specimen where quantifying signals is important. However, detailed models must be provided.
Authors:
Ulf Maeder; Thomas Schmidts; Ersin Avci; Johannes T Heverhagen; Frank Runkel; Martin Fiebich
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  The International journal of artificial organs     Volume:  33     ISSN:  0391-3988     ISO Abbreviation:  Int J Artif Organs     Publication Date:  2010 Apr 
Date Detail:
Created Date:  2010-05-11     Completed Date:  2010-08-03     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7802649     Medline TA:  Int J Artif Organs     Country:  Italy    
Other Details:
Languages:  eng     Pagination:  253-9     Citation Subset:  IM    
Affiliation:
Institute of Medical Physics and Radiation Protection, University of Applied Sciences, Giessen - Germany. ulf.maeder@tg.fh-giessen.de
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MeSH Terms
Descriptor/Qualifier:
Calibration
Feasibility Studies
Fluorescent Dyes
Humans
Image Interpretation, Computer-Assisted / methods*
Models, Biological
Monte Carlo Method*
Oxazines
Phantoms, Imaging*
Signal Processing, Computer-Assisted
Skin / chemistry*,  metabolism
Spectrum Analysis
Tomography, Optical / methods*
Chemical
Reg. No./Substance:
0/Fluorescent Dyes; 0/Oxazines; 7385-67-3/nile red

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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