5 December 2014 Taking advantage of hyperspectral imaging classification of urinary stones against conventional infrared spectroscopy
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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.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Francisco Blanco, Francisco Blanco, Felipe Lumbreras, Felipe Lumbreras, Joan Serrat, Joan Serrat, Roswitha Siener, Roswitha Siener, Silvia Serranti, Silvia Serranti, Giuseppe Bonifazi, Giuseppe Bonifazi, Montserrat López-Mesas, Montserrat López-Mesas, Manuel Valiente, Manuel Valiente, } "Taking advantage of hyperspectral imaging classification of urinary stones against conventional infrared spectroscopy," Journal of Biomedical Optics 19(12), 126004 (5 December 2014). https://doi.org/10.1117/1.JBO.19.12.126004 . Submission:
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