Light Reflectance Spectroscopy and Autofluorescence (Kidney and Prostate)

Olweny, Ephrem O.; Cadeddu, Jeffrey A.

doi:10.1007/978-1-4939-1450-0_8

Cited by 1 publication

(2 citation statements)

References 44 publications

(50 reference statements)

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“…Previous works on enhancing renal ischemia assessment include spectroscopic imaging 17,[36][37][38][39] and autofluorescence imaging. [40][41][42][43][44][45] These approaches have improved the assessment of ischemic physiology; however, they have limitations such as interference with imaging process due to hypothermic preservation, 36 altered fluorophore quantum efficiency, 39 phototoxicity, 43 and limited application in clinical settings.…”

Section: Discussionmentioning

confidence: 99%

“…Modifying CCD hardware could help to solve this limitation, [33][34][35] but hardware modification could be costly and time-consuming. Another strategy adopted multiwavelength approaches including optical spectroscopic imaging 17,[36][37][38][39] and autofluorescence imaging [40][41][42][43][44][45] to investigate the renal ischemia physiology. However, these approaches have limitations, including altered fluorophore quantum efficiency, 39 weak or absent correlation between fluorescence and ischemia, 41 phototoxicity under short-wavelength, 43 and restricted clinical application.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing in vivo renal ischemia assessment by high-dynamic-range fluorescence molecular imaging

2018

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Fluorescence imaging has been used to evaluate the physiological features of renal ischemia in animal model. However, the fluorophore distribution details of the ischemia model could not be fully represented due to the limited dynamic range of the charged-couple device. A high-dynamic-range (HDR) strategy was adopted in renal ischemia fluorescence imaging, both ex vivo and in vivo. The HDR strategy successfully combined ischemia relevant biological features that could only be captured with different exposure times, and then presented these features in the HDR results. The HDR results effectively highlighted the renal ischemic areas with relatively better perfusion and diminished the saturation that resulted from long exposure time. The relative fluorescence intensities of the ischemic kidneys and the image entropy values were significantly higher in the HDR images than in the original images, therefore enhancing the visualization of the renal ischemia model. The results suggest that HDR could serve as a postprocessing strategy to enhance the assessment of in vivo renal ischemia, and HDR fluorescence molecular imaging could be a valuable imaging tool for future studies of clinical ischemia detection and evaluation.

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