Improving dermal level images from reflectance confocal microscopy using wavelet-based transformations and adaptive histogram equalization.

Autor: Hanlon KL; Department of Cutaneous Oncology, Cleveland Clinic Indian River Hospital, Scully Welsh Cancer Center, Vero Beach, Florida, USA.; Morsani College of Medicine, University of South Florida, Tampa, Florida, USA., Wei G; Morsani College of Medicine, University of South Florida, Tampa, Florida, USA., Braue J; Department of Cutaneous Oncology, Cleveland Clinic Indian River Hospital, Scully Welsh Cancer Center, Vero Beach, Florida, USA., Correa-Selm L; Department of Cutaneous Oncology, Cleveland Clinic Indian River Hospital, Scully Welsh Cancer Center, Vero Beach, Florida, USA.; Morsani College of Medicine, University of South Florida, Tampa, Florida, USA., Grichnik JM; Department of Cutaneous Oncology, Cleveland Clinic Indian River Hospital, Scully Welsh Cancer Center, Vero Beach, Florida, USA.; Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.
Jazyk: angličtina
Zdroj: Lasers in surgery and medicine [Lasers Surg Med] 2022 Mar; Vol. 54 (3), pp. 384-391. Date of Electronic Publication: 2021 Oct 11.
DOI: 10.1002/lsm.23483
Abstrakt: Objectives: Reflectance confocal microscopy (RCM) generates scalar image data from serial depths in the skin, allowing in vivo examination of cellular features. The maximum imaging depth of RCM is approximately 250 µm, to the papillary dermis, or upper reticular dermis. Frequently, important diagnostic features are present in the dermis, hence improved visualization of deeper levels is advantageous.
Methods: Low contrast and noise in dermal images were improved by employing a combination of wavelet-based transformations and contrast-limited adaptive histogram equalization.
Results: Preserved details, noise reduction, increased contrast, and feature enhancement were observed in the resulting processed images.
Conclusions: Complex and combined wavelet-based enhancement approaches for dermal level images yielded reconstructions of higher quality than less sophisticated histogram-based strategies. Image optimization may improve the diagnostic accuracy of RCM, especially for entities with dermal findings.
(© 2021 Wiley Periodicals LLC.)
Databáze: MEDLINE
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