Soft Tissue Visualization in Micro-CT Imaging - Fuzzy Logic Aided Image Transfer Function Design
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F22%3A00361272" target="_blank" >RIV/68407700:21460/22:00361272 - isvavai.cz</a>
Result on the web
<a href="http://imbm.fbmi.cvut.cz/soubory/Sborniky/IMBM%202022" target="_blank" >http://imbm.fbmi.cvut.cz/soubory/Sborniky/IMBM%202022</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Soft Tissue Visualization in Micro-CT Imaging - Fuzzy Logic Aided Image Transfer Function Design
Original language description
Manual image transfer function design allows for detailed but relatively slow visualization of soft tissue structures in micro-CT imaging. Designing an optimal transfer function by hand is a time-consuming process requiring setting up curves for opacity, luminance, and color RGB components, including searching for an optimal range of useful CT Numbers manually, each having a significant effect on highlighting a given tissue structure. The aim of this study was to implement and verify the fuzzy approach as a way to optimize the process of designing an image transfer function by introducing a certain degree of automatization facilitating this visualization. In this study, biological samples of mouse livers prepared in solutions of different concentrations of ethanol or potassium iodide dissolved in ethanol solution were used. Samples were scanned by a Bruker SkyScan 1275 micro-CT and processed using NRecon, CTvox and Matlab software. With the aid of the Matlab Fuzzy toolbox, the known specimen and contrast agent parameters were used to set up the fuzzy inference systems implemented into our application for designing of the needed transfer functions. By comparing the visualization results of the selected biological samples and contrast agents obtained by manual and fuzzy approach, we came to the finding that the fuzzy approach can be used for a significant time reduction and optimization in the image transfer function design process, which can be further used to distinguish between pathological and physiological states.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
<a href="/en/project/EF16_019%2F0000766" target="_blank" >EF16_019/0000766: Engineering applications of microworld physics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
INSTRUMENTS AND METHODS IN BIOLOGY AND MEDICINE 2022
ISBN
978-80-01-07065-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
28-33
Publisher name
České vysoké učení technické v Praze
Place of publication
Praha
Event location
Kladno
Event date
May 19, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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