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Journal of Biomedical Optics

Taking advantage of hyperspectral imaging classification of urinary stones against conventional infrared spectroscopy
Author(s): Francisco Blanco; Felipe Lumbreras; Joan Serrat; Roswitha Siener; Silvia Serranti; Giuseppe Bonifazi; Montserrat López-Mesas; Manuel Valiente
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Paper Abstract

The analysis of urinary stones is mandatory for the best management of the disease after the stone passage in order to prevent further stone episodes. Thus the use of an appropriate methodology for an individualized stone analysis becomes a key factor for giving the patient the most suitable treatment. A recently developed hyperspectral imaging methodology, based on pixel-to-pixel analysis of near-infrared spectral images, is compared to the reference technique in stone analysis, infrared (IR) spectroscopy. The developed classification model yields >90% correct classification rate when compared to IR and is able to precisely locate stone components within the structure of the stone with a 15  μm resolution. Due to the little sample pretreatment, low analysis time, good performance of the model, and the automation of the measurements, they become analyst independent; this methodology can be considered to become a routine analysis for clinical laboratories.

Paper Details

Date Published: 5 December 2014
PDF: 9 pages
J. Biomed. Opt. 19(12) 126004 doi: 10.1117/1.JBO.19.12.126004
Published in: Journal of Biomedical Optics Volume 19, Issue 12
Show Author Affiliations
Francisco Blanco, Univ. Autònoma de Barcelona (Spain)
Felipe Lumbreras, Univ. Autònoma de Barcelona (Spain)
Joan Serrat, Univ. Autònoma de Barcelona (Spain)
Roswitha Siener, Univ. Bonn (Germany)
Silvia Serranti, Univ. degli Studi di Roma La Sapienza (Italy)
Giuseppe Bonifazi, Univ. degli Studi di Roma La Sapienza (Italy)
Montserrat López-Mesas, Univ. Autònoma de Barcelona (Spain)
Manuel Valiente, Univ. Autònoma de Barcelona (Spain)

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