IEEE photonics journal · 2017 · 116 citations · 25 references
MedicineBioengineeringNephrologyBiomedical ImagingDigital ImagingKidney TransplantationMedical Image AnalysisMedical ImagingOptical Coherence TomographyOptical TomographyRenal IschemiaTexture AnalysisEn Face ImagingIschemic Acute Kidney InjuryKidney MicroanatomyKidney PhysiologyQuantitative Optical Coherence TomographyRenal Microcirculation ImagingTexture PropertiesTissue Morphology Analysis
Kidney ischemia-reperfusion (I/R) accounts for the majority of acute kidney injury cases, whose consequences are commonly encountered after kidney transplantation. Optical coherence tomography (OCT) has been applied to image changes in kidney microanatomy and microcirculation. In this paper, we demonstrate a quantitative method for monitoring kidney status during I/R process using texture properties of OCT images. This approach employs skewness to measure the distribution of en face OCT image intensities at different depths, thus allowing differentiating I/R status of kidney. The skewness analysis based on quantitative intensity shows promise for monitoring kidney status during I/R and the potential for evaluating the viability of transplant kidney.
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