Taking advantage of hyperspectral imaging classification of urinary stones against conventional infrared spectroscopy

Francisco Blanco, Felipe Lumbreras, Joan Serrat, Roswitha Siener, Silvia Serranti, Giuseppe Bonifazi, Montserrat López-Mesas, Manuel Valiente

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Abstract

© 2014 Society of Photo-Optical Instrumentation Engineers. 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 ìm 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.
Original languageEnglish
Article number126004
JournalJournal of Biomedical Optics
Volume19
Issue number12
DOIs
Publication statusPublished - 1 Dec 2014

Keywords

  • hyperspectral imaging
  • infrared spectroscopy
  • kidney stone
  • near-infrared
  • urinary stone analysis
  • urinary stones classification

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