title: Taking advantage of hyperspectral imaging classification of urinary stones against conventional infrared spectroscopy.
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.
authors.affiliation: Universitat Autònoma de Barcelona, Centre Grup de Tècniques de Separació en Química (GTS), Unitat de Química Analítica, Departament de Química, 08193 Bellaterra, Spain.
authors.forename: Francisco
authors.initials: F
authors.lastname: Blanco
authors.affiliation: Universitat Autònoma de Barcelona, Computer Vision Center & Department of Computer Science, 08193 Bellaterra, Spain.
authors.forename: Felipe
authors.initials: F
authors.lastname: Lumbreras
authors.affiliation: Universitat Autònoma de Barcelona, Computer Vision Center & Department of Computer Science, 08193 Bellaterra, Spain.
authors.forename: Joan
authors.initials: J
authors.lastname: Serrat
authors.affiliation: University Stone Centre, Department of Urology, University of Bonn, Sigmund-Freud-Str. 25, 53105 Bonn, Germany.
authors.forename: Roswitha
authors.initials: R
authors.lastname: Siener
authors.affiliation: Sapienza-Università di Roma, Dipartimento di Ingegneria Chimica Materiali Ambiente (DICMA), 00184 Roma, Italy.
authors.forename: Silvia
authors.initials: S
authors.lastname: Serranti
authors.affiliation: Sapienza-Università di Roma, Dipartimento di Ingegneria Chimica Materiali Ambiente (DICMA), 00184 Roma, Italy.
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Bonifazi
authors.affiliation: Universitat Autònoma de Barcelona, Centre Grup de Tècniques de Separació en Química (GTS), Unitat de Química Analítica, Departament de Química, 08193 Bellaterra, Spain.
authors.forename: Montserrat
authors.initials: M
authors.lastname: López-Mesas
authors.affiliation: Universitat Autònoma de Barcelona, Centre Grup de Tècniques de Separació en Química (GTS), Unitat de Química Analítica, Departament de Química, 08193 Bellaterra, Spain.
authors.forename: Manuel
authors.initials: M
authors.lastname: Valiente
mesh_terms: D002129:Calcium Oxalate / Q000737:chemistry; D003553:Cystine / Q000737:chemistry; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D057054:Molecular Imaging / Q000379:methods*; D010710:Phosphates / Q000737:chemistry; D013055:Spectrophotometry, Infrared / Q000379:methods*; D014527:Uric Acid / Q000737:chemistry; D014545:Urinary Calculi / Q000737:chemistry*
chemical_list: D010710:Phosphates; D002129:Calcium Oxalate; D014527:Uric Acid; D003553:Cystine