Hyperspectral imaging based method for fast characterization of kidney stone types

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F12%3A00107018" target="_blank" >RIV/00216224:14310/12:00107018 - isvavai.cz</a>
Result on the web
<a href="https://www.spiedigitallibrary.org/journals/journal-of-biomedical-optics/volume-17/issue-7/076027/Hyperspectral-imaging-based-method-for-fast-characterization-of-kidney-stone/10.1117/1.JBO.17.7.076027.full?SSO=1" target="_blank" >https://www.spiedigitallibrary.org/journals/journal-of-biomedical-optics/volume-17/issue-7/076027/Hyperspectral-imaging-based-method-for-fast-characterization-of-kidney-stone/10.1117/1.JBO.17.7.076027.full?SSO=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/1.JBO.17.7.076027" target="_blank" >10.1117/1.JBO.17.7.076027</a>

Result language
angličtina
Original language name
Hyperspectral imaging based method for fast characterization of kidney stone types
Original language description
The formation of kidney stones is a common and highly studied disease, which causes intense pain and presents a high recidivism. In order to find the causes of this problem, the characterization of the main compounds is of great importance. In this sense, the analysis of the composition and structure of the stone can give key information about the urine parameters during the crystal growth. But the usual methods employed are slow, analyst dependent and the information obtained is poor. In the present work, the near infrared (NIR)-hyperspectral imaging technique was used for the analysis of 215 samples of kidney stones, including the main types usually found and their mixtures. The NIR reflectance spectra of the analyzed stones showed significant differences that were used for their classification. To do so, a method was created by the use of artificial neural networks, which showed a probability higher than 90% for right classification of the stones. The promising results, robust methodology, and the fast analytical process, without the need of an expert assistance, lead to an easy implementation at the clinical laboratories, offering the urologist a rapid diagnosis that shall contribute to minimize urolithiasis recidivism.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10608 - Biochemistry and molecular biology

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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