PT Journal
AU Francisco Blanco
   Felipe Lumbreras
   Joan Serrat
   Roswitha Siener
   Silvia Serranti
   Giuseppe Bonifazi
   Montserrat Lopez Mesas
   Manuel Valiente
TI Taking advantage of Hyperspectral Imaging classification of urinary stones against conventional IR Spectroscopy
SO Journal of Biomedical Optics
JI JBiO
PY 2014
BP 126004-1 - 126004-9
VL 19
IS 12
DI 10.1117/1.JBO.19.12.126004
AB 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.
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